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Jeff Murray
9.9.2026
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News stories featured in Gadfly Bites may require a paid subscription to read in full. You have been warned.

  1. Because of the impending holiday, last Friday’s Bites came out pretty early. Thus we missed the big breaking news that hit later that day: Reports of widespread “anomalies” in last year’s state testing results for numerous charter and district schools. Huge mess, obvs, for which many details remain to be explained. Here, however, is a good first look from Cleveland.com, noting that there were different reasons for the Ohio Department of Education and Workforce to question the accuracy of test scores from different schools. Ugh. (Cleveland.com, 9/8/26) State report cards are due out next week. Schools whose test scores are under investigation—per the above—will receive provisional data, but Akron City Schools are not among those. Thus the superintendent was in the clear to discuss preliminary data at her “State of the District” speech last week. What she shared doesn’t sound all that great to me, but she can only discuss what is there, I guess. (Signal Akron, 9/8/26)

  2. Apropos of the preceding clips, here’s a timely (and very long) discussion about what parents look for when visiting, evaluating, and choosing a private school. It is focused on independent (read: high-dollar) schools in northeast Ohio (you know the ones I mean), but the biggest lessons are generalizable, IMHO, to a school search of any kind at any level. (Cleveland Magazine, 9/6/26) For a nice—also timely and very long—comparison, check out this piece charting the expanding/changing public school options in the Cleveland area. This includes the new academic offerings in consolidated CMSD schools, the coordinated effort from organizations like Future Ready Cleveland to bring new and innovative charter schools to the area, and even the presence of independent STEM school Bio-Med Science Academy. The moral of this serendipitous juxtaposition of stories, per your humble clips compiler: We can still crib the free advice from the big money private school folks even if we only end up applying it to our search for zero-dollar public school options. Just sayin’. (Signal Cleveland, 9/7/26)
     
  3. Unfortunately for anyone considering school choice, this piece makes it sounds like busing headaches have been widespread across Ohio in the first weeks of the school year—even for families who opt for schools in their district of residence. Even the minimal parent quotes provided here are infuriating to me. But even more rage-inducing is the schools’ response to the situation. “If Ohio did not have the Payment in Lieu of Transportation option available to districts, I believe the statewide driver shortage and its operational impact would be considerably more visible,” said Melody Congilio. Just in case that statement is too shrouded in insider jargon—Coniglio is president-elect of the National Association for Pupil Transportation and director of transpo at West Geauga Local Schools after all—please allow me to translate: “If we could exclude more students from transportation requirements, and palm them off with a token amount of money, everything would be fine…for us.” (Ohio Capital Journal, 9/8/26)

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Policy Priority:
School Funding
Topics:
Governance
Alina Adams
9.9.2026
School
Courtesy of CBS Entertainment
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A little over two years ago, I wrote about how “I watched the parenting on ‘Young Sheldon’—and did the exact opposite.”

In that June 2024 piece, I recounted how, no matter how “smart” my middle child was, I pointedly did not mollycoddle him, acquiesce to any outrageous demands, or suggest that his academic and professional achievements were more valuable than those of his older brother and younger sister. You know, the exact opposite of “Young Sheldon’s” Mary Cooper, as played by Zoe Perry.

At our house, we stress that actions matter more than words. (Not that you’re allowed to be rude, but you’re also expected to do things, not just claim you could do them if you wanted to.)

I talked a good game about raising a—no sugar-coating it—oftentimes difficult, frustrating, exasperating child prodigy. (I prefer “prodigy” to “gifted.” The latter is a term that’s been so watered down as to be meaningless. Certainly as to be unquantifiable. “Prodigy” simply means “a child who can perform at the level of a trained adult.” At my son’s computer programming job, which he started when he was 12 years old, they called him “Doogie Howser.” Yes, a disturbing amount of my life references are sitcom-based.)

So how did my actual, actionable, anti–”Young Sheldon” parenting work out in practice? Is my “high potential” (oh, look, another television show reference!) child a “staggering success” of a human being?

I guess that would depend on your definition of “success.” Does it involve earning buckets of money? Prestige? Academic degrees? Outside validation? Awards? Internet fame?

Or might it be something else entirely?

There is a Russian expression: “It’s not evening yet.” Think of it as the Slavic version of “It ain’t over till the fat lady sings.”

We’re not even remotely close to evening—or the fat lady singing—when it comes to a final verdict on my parenting—or my son. That’s a lifelong process. Just because your kid can vote and drink doesn’t mean the parenting part is over. He can—and will—change multiple times, hopefully more for the better and less for the worse, before all is said and done. The only thing I can confidently report on is where we stand now.

My middle child, who finally wore his dad and me down and, after years of begging for it, received our permission to drop out of New York City’s top “gifted” high-school and educate himself, graduated from college this past May.

Did he go to Caltech like young Sheldon? No, he did not. He got into Caltech but chose a different university because he wanted a more well-rounded liberal arts education in addition to a top-notch STEM one. (I didn’t argue, not only because, by this point, I was resolved to let my son make his own decisions, but also because the latter school gave him a fabulous merit scholarship where we ended up paying less than we would have for a state school. No more FAFSA forms to fill out! Whoo! Winning! Who’s gifted at this parenting thing now?)

My son went in as a computer science major but, halfway through, switched to mathematics.

“That’s so great,” friends raved. More than one forwarded me the July article in The Wall Street Journal entitled, “The Million Dollar Talent Wars for 20-Something Math Geniuses.”

My oldest son, an Ivy League grad who wants you to know, “I’m the least impressive member of my family,” works in finance. He enthused, “He has real skills employers actually want!”

That’s all well and good. Except as my younger son made clear upon graduating from the school “ranked number one for early career pay and number four for mid-career pay in PayScale’s 2024 College Salary Report,” he wasn’t interested in helping to “make rich people richer or AI to destroy the planet.”

So what will my anarchistic, autonomous autodidact be doing this fall? (Because he will be getting a job. See “no mollycoddling” above. Our kids are welcome to spend as much time as they like “finding themselves” and/or lamenting their “multiple potentialities.” But they have to figure out how to support themselves while doing so first.)

This fall, my son will be teaching special education middle school math at an underserved school in the Bronx. As an NYC Teaching Fellow, he will simultaneously be studying for his master’s in education, and on his own time, taking graduate-level math courses at a different college. (The last isn’t required. He just really, really loves math.)

I watched the parenting on “Young Sheldon”—and did the exact opposite. So did my “gifted” son turn out as “successful” as the titular older character, played by Jim Parsons on “The Big Bang Theory”?

Well, he’s not making buckets of money, which some would use as the ultimate metric of success. And he hasn’t yet won a Nobel Prize, like Sheldon did in “The Big Bang Theory” finale. (“No Nobel prizes in math,” my son pointed out.)

My son spent part of the summer doing his own independent research. He presented his work, which “formalizes a foundational result about the representation of linear functionals on infinite-dimensional complex vector spaces. Its central objects, C∗-algebras, impose additional structure on the traditional Banach spaces from functional analysis.” (Please don’t ask me what it means or how it’s applied. If interested, you can read the complete description here.) It would appear that “these results play an important role in mathematical physics.” So, hey, maybe he’s still on track for that Sheldon Cooper Nobel Prize in Physics, after all.

But my son spent the majority of his July and August as an assistant teacher in Upper Manhattan, helping students, many of whom are still learning English, prepare for NY’s Algebra 1 Regents exam. He was shocked by how many high schoolers still struggled with fractions. He devoted many evenings to brainstorming techniques he could employ to help catch them up.

Full disclosure: My son has a terrible role model. His dad earned a nuclear engineering degree from MIT (after attending two of NYC’s most well-known “gifted” schools; yes, the one you’re thinking of and the other one). He worked in tech at the turn of this century, when stock options in overvalued internet start-ups were flung about like so much pixie dust. He walked away from all that to teach middle school math and physics.

When our son first announced his intention to also teach, my husband proffered, “Why not get a nice, stable computer programming job instead?”

“That’s so boring,” our son sighed.

He wants to teach because it’s challenging. And because he wants to do good in the world. He wants to help. (Oh, and he also wants to disrupt. As a high school dropout, he is dedicated to the belief that schools must primarily serve the interests of students. Not teachers, not administrators, and not parents. He’s argued that teachers have unions…so students should, too. And he’s outlined how those could work.)

My son is not on track to become tech/finance rich. He has yet to win a Nobel Prize. But, after some very difficult years (for me; as he once explained, “Parenting doesn’t have to be hard. I did everything myself, you just wasted time trying to stop me”), he is a much better, kinder, wiser, and more decent human being than the Sheldon Cooper we watched throughout “The Big Bang Theory’s” 12-season run, or the one we encountered on the final episode of “Young Sheldon,” still unapologetically condescending and arrogant, blithely rude to his wife, dismissive of his children’s interests, and brutally critical of his supposed friends.

I’m pretty sure that’s not the son Mary Cooper wanted. But it’s the son she got—and the bulk of the blame falls on her. (Yes, Sheldon had a father and a grandmother and teachers and mentors, but whenever any of them tried to call him out on his unacceptable behavior, Mary was there to assure him he was wonderful, no need to change a thing, you just be you, Shelley! He never suffered any consequences, so, in his defense, how would he know he was doing anything wrong without it being pointed out and punished? At our house, we like to say, “The smarter they are, the dumber they are.”)

Mary Cooper fell into a fallacy I refused to. She assumed that a child who can perform at the level of a trained adult in a narrow field will somehow be equally competent in others. Mary either genuinely believed that her baby boy was perfect exactly the way God made him, with no need for improvement (guess she missed the Biblical lesson about how “spare the rod and spoil the child” doesn’t apply to beatings, like many have mistakenly attributed, but actually to the shepherd’s rod that guides a sheep wandering off in the wrong direction), or Sheldon’s mother confused academic brilliance with even the most basic competence outside his field of expertise.

Just because a child can do math or read or play an instrument at an advanced level doesn’t make them any less desperate for guidance in manners, limits, obligations, and humility. In fact, one could argue they need those lessons even more than the average youngster because of the way most adults in their lives will be too intimidated by their precocity to treat them like the still-developing human being they unquestionably are.

Based on the above definition of “success” and our respective results, I’ll put my parenting up against Mary Cooper’s any day.

Policy Priority:
High Expectations
Topics:
Advanced Education

Few topics in K–12 education spark as much debate as the role of technology in schools. A cell phone in every pocket, a Chromebook in every backpack, and AI that keeps getting smarter: tech is everywhere in today’s classrooms.

But what do students themselves think? To dive deeper, we commissioned a nationally representative survey of more than two thousand current and recent high school students. Fordham’s national research manager, Brian Fitzpatrick, led the analysis and authored the report. His findings show that school-issued devices are often misused, making them nearly as distracting as students’ personal cell phones. Combine that with unethical use of AI and rampant grade inflation, and we’ve sadly hollowed out the American high school experience.

Technology isn’t the enemy here. But the findings suggest we need far less of it in today’s high schools.

Download the full report or read it below.


Foreword

By Amber M. Northern and Michael J. Petrilli

After years of mounting concern about students and screens, the techlash came to a head in June when the Los Angeles Unified School District made headlines for approving a new screen-time policy for students.

The policy is blunt by design. It limits students’ school-assigned screen time on district-issued devices (such as laptops and tablets),[1] counting both in-school use and homework. Students in pre-K through first grade cannot use school devices for instruction at all, while older elementary students are limited to 60 minutes per day. Middle and high schools have subject-specific limits; for example, high schoolers may spend no more than 90 minutes per subject per week on screens, up to a weekly maximum of 600 minutes.

Opinions were mixed on whether LAUSD got it right. Some welcomed the limits, while others thought tech deserved a more nuanced accounting of its virtues.

Yet whatever one thinks of America’s second-largest school district’s attempt to rein in the downsides of technology, one thing is clear: LAUSD tapped into the national zeitgeist. Weary of children transfixed by devices, isolated from peers and adults alike, district leaders responded to parental pressure and essentially said, “Enough is enough! There has to be a better way.”

Though we might quibble about the details, we at Fordham agree with the impulse. It sure seems, from the outside, that technology has transformed the school experience, especially during high school, and not necessarily for the better. But to find out for sure, we decided to ask the kids themselves. We wanted to know whether students see technology as useful to their learning—or whether they’re weary of tapping keys and scrolling screens. (Some recent polls pointed to the latter.)

We also wanted their sense of just how pervasive technology use is in schools and what misuse on their part might look like. More specifically, how have school-issued devices contributed to distraction and academic dishonesty? How do grading policies and artificial intelligence exacerbate those challenges? And most important, what can schools do now—long after the genie has left her proverbial bottle—to preserve the benefits of technology and AI while reducing their harms?

To answer these questions, we conducted a nationally representative survey of 1,011 current high school students and 1,013 recent graduates. Impact Research and UpONE Insights fielded the survey and Fordham’s national research manager, Brian Fitzpatrick, led the analysis and report writing.

The investigation yielded four big findings:

First, illicit tech use is rampant.

Seventy-six percent of respondents report personally engaging in at least one form of illicit technology use daily during high school, including scrolling social media, messaging friends, and shopping or gambling online (Figure F-1). Roughly one-third report daily YouTube viewing or recreational gaming, while more than one in five say they use AI without permission.

Figure F-1. Taken together, 76 percent of respondents report some kind of daily illicit tech use during high school.

Figure F-1. Taken together, 76 percent of respondents report some kind of daily illicit tech use during high school.

Note: Each bar represents the percent of respondents who report that they use each technology “multiple times a day” or “once a day” during school hours. Because respondents could select all that apply, the 76% figure reflects the share who reported at least one of these behaviors daily.

Second, AI is undermining the high school experience.

Many students are using AI not to support their learning but to bypass it altogether (Figure F-2). While roughly half of respondents say they use AI to explain difficult concepts and brainstorm ideas, that same proportion say they use it to “solve math problems.” One-third (36 percent) use it to summarize books or other texts to avoid reading them, 29 percent to write the first draft of an essay or report, and 26 percent to help during quizzes or tests. Lest the point be missed: those uses sound an awful lot like cheating.

Figure F-2. The most common uses of AI are legitimate, but many students also use it to cheat.

Figure F-2. The most common uses of AI are legitimate, but many students also use it to cheat.

Note: Percentage of respondents who report using AI for each task during high school.

Third, most U.S. high school students and recent graduates say they spend the majority of class time on school-provided devices.

Illicit use and sanctioned use are hard to tell apart. When so much of the school day runs through screens, it becomes difficult for teachers to know whether a student is completing an assignment or scrolling TikTok.

Figure F-3 reveals that 62 percent of respondents spend more than half of their in-class time on school-issued devices. Let’s compare that to the new screen limits in Los Angeles. Under a typical six-hour school day, LAUSD’s cap would allow high school students to spend no more than about one-third of instructional time on screens. Based on our survey data, however, a student who spends at minimum half of class time on a school-issued device would log 900 minutes per week in this hypothetical schedule—50 percent more than LAUSD’s 600-minute weekly limit, and that’s not including doing homework on school devices.

Figure F-3. Most respondents report spending between half and three quarters of their school day on a school-issued device.

Figure F-3. Most respondents report spending between half and three quarters of their school day on a school-issued device.

Note: Bars represent the percent of respondents across self-reported levels in response to the question, “In a typical day, how much of your class time do/did you spend working on a device provided by your high school, such as a laptop or tablet?”

Finally, weak grading standards make distraction and AI misuse worse.

Many respondents report grading practices that lighten the consequences of not doing the work: partial credit for missing assignments, late-work policies that result in little penalty, and broad access to test retakes.

At the same time, grades are heavily concentrated at the top. Fifty-seven percent of respondents report earning all A’s or mostly A’s, including many whose SAT or ACT scores place them in the bottom half of the national achievement distribution (Figure F-4). Put simply, high grades don’t always mean students have mastered the material.

Figure F-4. A sizeable minority of respondents at the bottom of the SAT and ACT score distributions still report getting all or mostly A’s.

Panel A

Figure F-4, Panel A. A sizeable minority of respondents at the bottom of the SAT and ACT score distributions still report getting all or mostly A’s.

Panel B

Figure F-4, Panel B. A sizeable minority of respondents at the bottom of the SAT and ACT score distributions still report getting all or mostly A’s.

Note: Bars represent the percent of respondents by how they characterize the grades they earn/earned in high school depending on their self-reported SAT or ACT score. The salmon-colored bar indicates the reference category (the highest SAT/ACT score range); confidence intervals calculated at the 95 percent level; + = p<0.1, * = p<0.05, ** = p<0.01, & *** = p<0.001.

Taken together, our results suggest that American high school students are caught up in—and often contribute to—a disturbing and interconnected set of problems: rampant distraction, widespread AI misuse, heavy dependence on screens, and grading practices that make it easier to earn high marks without mastering the material.

Subsequently, Fitzpatrick urges states, districts, and schools to take five steps (some of which echo LAUSD’s policy):

  1. reduce the amount of time students spend on devices;
  2. place greater reliance on supervised, in-class, paper-and-pencil, and oral exams;
  3. make grading expectations school-wide and explicit by eliminating routine retakes and enforcing valid consequences for late work;
  4. ensure that school-device firewalls work; and
  5. adopt stricter bans on cell phones and other personal devices.

We of course agree, but here are three additional observations.

First, device-delivered education runs the risk of diminishing the role of the teacher. In the hands of a less skilled instructor, technology can shift the teacher’s role from knowledgeable expert who sets high expectations and builds trusting relationships to a classroom monitor who watches students work on screens and tries to enforce on-task behavior. When technology starts to replace effective teaching rather than support it, districts and schools need to tap (or slam!) the brakes.

Second, this whole thing brings to mind Ted Sizer’s much lauded 1984 book, Horace’s Compromise, named for fictional high school teacher Horace Smith, who tacitly agrees not to push his students too hard if they agree to sit quietly and cause no trouble. Sizer summed it up as, “Give a little, and get along.” Today, Horace’s students would have screens to help them sit quietly, making the compromise even easier. In other words, today’s kids can be sitting in class and still be somewhere else entirely.

And that, in our view, is the deeper danger with overreliance on screens and AI, in combination with weaker expectations and easier grading. Students can “check out” without leaving the classroom. Over time, that means that precious few of them will develop the knowledge, concentration, and self-discipline they need to reach their full academic and cognitive potential in life and in service of society.

Third, the combination of AI-driven cheating, tech-enabled distraction, and equity-minded grade inflation is hollowing out the American high school experience. Today it’s beginning to seem more performative than substantive. Yes, high schools have always included some amount of hoop-jumping, box-checking, and authority-pleasing; that’s the nature of any large bureaucratic organization, and young people have to learn to deal with it. (One of us—guess who—facetiously calls it the “bull-shittification of high school!”) But that doesn’t mean we have to keep piling it on. If classes can be endured by zoning out on screens, assignments evaded through cheating, and high grades awarded without mastery, then we have to ask ourselves: What are we even doing here?!

If we listen to young Americans, we’ll hear that the high school experience is not working as it should—and that the problems go deeper than tinkering around the edges. Screen time limits and such might help, but only if paired with a major rethinking of the high school experience. Yes, that means going back to pencil and paper assignments, recalibrating what it takes to get an A, and putting the Chromebooks back in their carts. All that will help. But it also means asking our teenagers to do cognitive work that really matters to their futures, whether of the traditional college-prep variety or something more career-oriented.

In other words, we will only solve these problems by restoring the basic conditions for learning: attention, effort, honest work, and adults willing to hold adolescents to high expectations.

Introduction

For most of American history, students could not bring portable televisions into a math class, leaf through endless stacks of photos, jokes, and gossip from friends in minutes, play poker while sitting in school, or outsource their essays to a machine. Today, millions of high school students can do all these things, often doing them on devices provided by their schools, and increasingly doing them in plain sight. The question is not whether that is happening—the answer is clearly yes—but how pervasive it has become and what schools can do about it.

To find out, the Thomas B. Fordham Institute commissioned a survey of 1,011 current high school students and 1,013 recent graduates, fielded by Impact Research and UpONE Insights, asking about their use of technology during the school day, their use of artificial intelligence (AI) for academic work, their perceptions of grading standards and school policies, and more. The results are striking. Illicit technology use—social media, YouTube, gaming, and unsanctioned AI—is indeed widespread, enabled in large part by the very devices schools provide. Meanwhile, schools’ grading systems make all these trends worse, as permissive policies make high grades easier than ever to obtain while inflated grade distributions make them harder than ever to trust, undercutting students’ incentive to pay attention in the first place.

Students and recent graduates recognize all of this themselves. Many conscientious respondents signaled frustration with the half-measures that characterize current school policy: phone policies that are rarely enforced, firewalls that are easily circumvented, and AI rules that are widely ignored. This report takes their observations seriously. Our findings reflect not only patterns in the data but the voices of respondents who, when given the chance to speak candidly, make clear that they want schools to set and enforce firmer expectations across the board—for academic honesty, grading standards, effort levels, and more.

Background

The integration of digital technology into American high schools accelerated rapidly over the past two decades. Beginning in the mid-2000s and gathering speed through the 2010s, many districts adopted one-to-one device initiatives—programs that place a school-issued laptop or tablet in the hands of every student. The COVID-19 pandemic then pushed this trend further still: with schools closed and instruction moved online almost overnight, device access became a prerequisite for participation in schooling itself. By the time students returned to physical classrooms, the Chromebook, iPad, and/or school-issued laptop had become a standard fixture of the high school day for an enormous number of US youngsters.

This proliferation was initially met with great fanfare. Boosters envisioned a new era of education, with digital platforms expanding access to content, streamlining communication between teachers and students, and enabling new forms of collaborative learning. Worthy online education ventures emerged, such as Sal Khan’s well-regarded Khan Academy. But these devices also introduced a set of problems that schools have struggled to manage. The firewalls that many began to create, intended to block access to social media sites and the like, have proven inconsistent—and students have, characteristically, proven resourceful.[2] The same device that a student uses to access coursework, assignments, and readings can, with a few keystrokes, also open Instagram, TikTok, YouTube, or an online game. Meanwhile, the smartphone has introduced a parallel channel of distraction that no device policy alone can address—to say nothing of the laptops, tablets, and smartwatches students often bring to school as well.

The most recent development, and perhaps the most consequential, is the emergence of artificial intelligence (AI). Since the release of ChatGPT in late 2022, students have had access to tools capable of summarizing assigned readings, drafting essays, solving math problems, and providing real-time assistance during quizzes. These capabilities have raised fundamental questions about what homework, essays, and take-home assessments actually measure, whether students are doing their own schoolwork, and whether the grades they generate still mean what they once did.

Several recent surveys have polled teenagers about their use of AI. RAND's American Youth Panel tracked AI use among middle and high schoolers across multiple waves in 2025, finding rising usage coupled with substantial student ambivalence about its effects on their own learning. The College Board documented rapid growth in generative AI use for schoolwork, with large majorities of high schoolers reporting such uses by mid-2025. The Center for Democracy and Technology surveyed nearly 1,000 ninth- through twelfth-graders in 2024–25 on the potential risks of AI, including weakened relationships between students and teachers.

Yet these surveys were limited in scope. Most focused narrowly on AI, and many relied on adults’ perceptions rather than students’ own accounts. To our knowledge, none to date have asked students about teacher grading policies alongside their school’s technology environment—or examined how those areas may interact. Our approach treats AI misuse, screen time, and grading practices as parts of the same ecosystem and reveals how weak guardrails in one may reinforce permissive norms in another.

Data and Methods

Our primary data source is a nationally representative online survey of 1,011 current high school students and 1,013 recent high school graduates, fielded by Impact Research and UpONE Insights between February 3 and March 10, 2026. The sample includes respondents in grades 9–12, distributed approximately evenly across those four grade levels. The recent graduate sample consists of individuals who completed high school roughly within the past four years and were ages 18 through 22 when surveyed. At that time, 44 percent of graduates were enrolled in four-year colleges or universities, 14 percent in two-year colleges, 12 percent in job training programs, while 30 percent were not participating in any education program. Sixty-six percent were employed full- or part-time.

Both samples were weighted to align with U.S. Census data on their respective age cohorts, and the survey is representative of the demographic composition of high school students and recent graduates nationwide. Throughout the report, except where noted, we combine the two subsamples into a single sample to infer the behavior of modern U.S. high school students with as much precision as possible. Each full-sample estimate has an estimated range of plus or minus 3.1 percentage points at the 95 percent confidence level; the corresponding ranges for subgroup analyses are larger and vary by subgroup size.

We employed descriptive statistics to summarize response distributions and inferential statistical methods, including correlation analyses and significance testing, to examine associations between variables and evaluate group differences.

We also include verbatim responses throughout to an open-ended question that asked, “What would motivate high school students to put more effort into their academics?”

Findings

Finding 1 Illicit tech use is rampant.

A majority of survey respondents report using technology for non-academic purposes on a daily basis during the school day—and the problem is not confined to personal smartphones. The data suggest that this is not the behavior of a small minority of inattentive students: it is, to a significant degree, today’s norm.

Tellingly, analysis of survey metadata found that 22 percent of surveys completed by current students were filled out at least partially during typical school hours (between 9 a.m. and 2 p.m. local time on weekdays)—consistent with the patterns of off-task device use that the findings themselves document. In other words, the act of taking the survey itself illustrated the problem the survey was designed to measure.

Finding 1a. About half of respondents report daily in-class use of social media and messaging friends, a third of them watch YouTube or play video games, a fifth (22%) use AI without permission, and roughly one in six (16%) shop online. All told, more than three quarters report daily misuse of tech.

According to the survey, 76 percent of respondents report at least one form of daily technology misuse during class time (Figure 1). The most common forms are social media—Instagram, Snapchat, TikTok, and similar platforms—with 50 percent of respondents reporting daily use in class. Messaging friends through non-classroom channels was reported by 49 percent. Roughly a third of respondents say they watch unassigned YouTube videos (33 percent) or play recreational games (33 percent) each day. One in six shops or browses online stores on a daily basis (17 percent), while 22 percent report using AI tools without their teacher's permission. Even online gambling, though much less frequent, is reported by 3 percent of respondents on a daily basis.

The scale and seriousness of these figures are hard to overstate. Fifty percent of respondents using social media every school day is not an occasional lapse in judgment—it is a structural feature of the modern high school experience. The 22 percent using AI without permission is equally notable: this represents more than one in five respondents, and the actual rate is almost certainly higher, since respondents may be reluctant to acknowledge it. Taken together, the data suggest that daily distraction and academic shortcutting have become deeply embedded habits.[3]

Figure 1. Taken together, 76 percent of respondents report some kind of daily illicit tech use during high school.

Figure 1. Taken together, 76 percent of respondents report some kind of daily illicit tech use during high school.

Note: Bars represent responses to the question, “Here are some online activities. For each, please indicate whether or not it is accessible to you during or in between classes at your high school, whether on a personal smartphone, a personal computer or tablet, or a school-issued computer or tablet.”

What would motivate high school students to put more effort into their academics?

“For the lessons to be more interesting & probably restrict games on the school devices.”

—Recent graduate

A key reason that illicit tech use is so pervasive is that school-issued devices provide direct access to the platforms driving it. More than half of respondents—66 percent—report that YouTube is accessible on school-issued devices (Figure 2). Some teachers may of course use YouTube for instructional purposes, but the scale of reported access suggests that much of this use is unsanctioned. More than a third of respondents say that school-issued devices are how they access recreational online games (39 percent) and online shopping (34 percent).[4] Even social media, which schools commonly attempt to block, is accessible on school-issued devices for 14 percent of respondents.

Apart from online gambling, more than two-thirds of respondents report being able to access each category of illicit tech use either on a school-issued device or on their phone. As a result, effective efforts to decrease tech-based distractions will likely require efforts to curtail both.

Figure 2. YouTube and chat apps are easy to access on school-issued devices; social media mostly require smartphones.

Figure 2. YouTube and chat apps are easy to access on school-issued devices; social media mostly require smartphones.

Note: Bars represent responses to the question, “Here are some online activities. For each, please indicate whether or not it is accessible to you during or in between classes at your high school, whether on a personal smartphone, a personal computer or tablet, or a school-issued computer or tablet.”

The consequences of permissive device access are visible in classrooms every day. Fifty-eight percent of respondents agree that, when devices are in use, many of their classmates are watching videos, using social media, or engaged in other off-task activities (Figure 3). Less than one-third say it is easy to get around school firewalls—suggesting that the problem may be less about respondents actively circumventing security measures and more about the fact that many platforms, including YouTube, are not blocked to begin with.[5] Interestingly, respondents who report better firewalls are less likely to report accessing social media via school devices but are more likely to report social media use via personal devices.

Figure 3. Firewalls appear hard to get around but also don’t prevent off-task behavior.

Figure 3. Firewalls appear hard to get around but also don’t prevent off-task behavior.

Note: Bars represent the combined percentage of respondents who either “strongly agree” or “somewhat agree” to each statement.

If students are primarily misusing school-issued devices via platforms that should be blocked but are not, then a partial but worthy solution is better enforcement of existing access controls. If much of the off-task activity is happening on personal smartphones or other personal devices, school device policies alone are insufficient. The data suggest that both dynamics are operating simultaneously.

What would motivate high school students to put more effort into their academics?

“Teacher going into more depth about what’s going on. Mainly cause that’s why I use AI is to over explain it [be]cause I have trouble comprehending things fast and teachers don’t take their time to let kids understand fully before they just move on to the next thing.”

—Recent graduate

Finding 1b. Students in schools with a policy of leaving cell phones in the central office or locked pouches have by far the lowest rates of social media use.

The survey provides a clear piece of encouraging evidence: among both current students and recent graduates, respondents in schools with the strictest phone policies report the lowest rates of illicit technology use. Among respondents whose schools require phones to be left in a central office or locked in a pouch, 33 percent report daily social media use—compared to 54 percent in schools where phones are permitted in class so long as respondents do not use them, and 64 percent in schools where the policy is left to the discretion of individual teachers (Figure 4).

Figure 4. Sixty-four percent of respondents report daily social media use when cell policy is left to teachers compared to 33 percent in schools that ban phones.

Figure 4. Sixty-four percent of respondents report daily social media use when cell policy is left to teachers compared to 33 percent in schools that ban phones.

Note: Each bar represents the percent of respondents who report using social media “multiple times a day” or “once a day,” depending on their school’s cell phone policy. The salmon-colored bar indicates the reference category; confidence intervals calculated at the 95% level; + = p<0.1, * = p<0.05, ** = p<0.01, & *** = p<0.001.

This gap is substantial and consistent. It also comes with a critical qualifier: even in schools with the strictest phone policies, nearly one in three respondents still reports daily social media use—likely via school-issued devices, personal laptops, smartwatches, or other devices not covered by phone bans. This underscores a key point: phone policies and school-issued device policies must be addressed together. A strict phone policy not accompanied by controls on what students can access via other devices leaves open a significant pathway to distraction.

Finding 1c. Lower-performing respondents have higher rates of social media use in schools, but even among respondents who got “all As,” 48 percent report daily social media use.

As one might expect, daily social media use during the school day is not evenly distributed across the grading spectrum. Among respondents who report earning mostly C’s, 63 percent say they use social media daily, compared to 48 percent of respondents who report earning all A’s (Figure 5). Still, 48 percent is a large number, so high academic achievement does not appear to insulate respondents from distraction. It may simply mean they are better at managing it, or that its impact on grades, however real, is masked by generous grading policies of the kind documented below in Finding 4. In either case, the data argue against treating this as a problem confined to lower-performing students.

Figure 5. Even among straight-A students, 48 percent report daily social media use.

Figure 5. Even among straight-A students, 48 percent report daily social media use.

Note: Each bar represents the percent of respondents who report using social media “multiple times a day” or “once a day,” depending on how respondents characterize the grades they earn/earned in high school. The salmon-colored bar indicates the reference category; confidence intervals calculated at the 95% level; + = p<0.1, * = p<0.05, ** = p<0.01, & *** = p<0.001.

Finding 2 AI is undermining the high school experience.

The emergence of generative AI has introduced a new and more fundamental challenge to the integrity of high school academics. Unlike social media or gaming, which distract students from doing their work, AI tools can do the work for them—almost instantly, fluently, and in ways that are difficult to detect. The survey data suggest that the misuse of AI in academics has already moved from novelty to norm: Most respondents report at least some unsanctioned use of AI, and a large majority believe that academic work has been devalued as a result.

Finding 2a. A quarter to almost half of respondents say they use AI to bypass the learning process; even more say their peers do.

When asked which tasks they had used AI to complete during the school year, respondents reported a wide range of applications—some broadly considered legitimate, some not (Figure 6). Among the most common uses were explaining difficult concepts (50 percent), brainstorming ideas (47 percent), and providing feedback or edits on papers (38 percent). But a substantial share report using AI in ways that bypass the learning process entirely: 48 percent use it to solve math problems, 36 percent to summarize books or other texts to avoid reading them, 29 percent to write the first draft of an essay or report, and 26 percent to help during quizzes or tests.

That last data point is particularly sobering. Quizzes and tests are among the primary tools used by teachers to evaluate individual student mastery; that a quarter of respondents report AI assistance during those evaluations speaks to a fundamental breakdown in the integrity of academic assessment. The use of AI to avoid reading assigned texts is similarly corrosive: whatever skills and knowledge those texts were meant to build go unbuilt when a summary suffices.

Figure 6. The most common uses of AI are legitimate, but many students also use it to cheat.

Figure 6. The most common uses of AI are legitimate, but many students also use it to cheat.

Note: Percentage of respondents who report using AI for each task during high school.

Students are not only using AI improperly themselves—they are well aware that their peers are doing the same. Sixty-two percent agree that most high school students are using AI for assignments that are supposed to be completed without it, and 57 percent agree that high schoolers who have done no real work are getting good grades thanks to AI (Figure 7). Fifty-eight percent agree that homework has become meaningless because nearly everyone is using AI. Fifty-six percent say that most high school students are using AI in class when they are not supposed to be. Since respondents tend to be more candid about peers than about themselves, these peer-directed responses are likely closer to the truth than the self-reported rates cited earlier.

These are damning numbers—and they come from students themselves, not from teachers or outside observers. The perception that AI use is universal, that it enhances one’s GPA, and that it has hollowed out the value of homework represents a profound legitimacy crisis for academic work as currently structured. Students who choose to do their own work face a real or perceived disadvantage relative to peers who outsource it, which creates a powerful incentive to do the same.

Figure 7. Current and former high school students view AI as undermining their education, not enhancing it.

Figure 7. Current and former high school students view AI as undermining their education, not enhancing it.

Note: Bars represent the combined percentage of respondents who either “strongly agree” or “somewhat agree” to each statement.

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What would motivate high school students to put more effort into their academics?

“Less computer work and more paperwork to make you think and not resort to AI or Google because you want to finish.”

—Recent graduate

Finding 2b. Half of respondents say it is difficult for teachers to come up with AI-proof assignments.

The survey also reveals how students perceive teachers' capacity to respond. Nearly half of respondents—48 percent—agree that it is hard for teachers to come up with assignments that cannot be completed by AI (Figure 7 above). Only 45 percent say their school has smart, realistic policies around AI that keep up with the times—meaning most students view their school's AI governance as inadequate.

Finding 3 Most U.S. high school students and recent graduates say they spend the majority of class time on school-provided devices.

Beyond illicit use of school-provided devices, the survey raises broader questions about the sheer extent to which such devices have come to dominate the high school day. Nearly a third of respondents—29 percent—say they spend 75 percent or more of their class time on a school-provided device (Figure 8). An additional 33 percent say they spend between half and three-quarters of class time on such devices. In total, 62 percent of respondents say school-issued devices occupy a majority of their in-class time.

This level of device dependence has implications that extend beyond distraction. When most of the school day is organized around a screen, the dividing line between sanctioned academic work and unsanctioned browsing becomes invisible to the teacher. A student who appears to be staring at a screen and typing may be completing an assignment—or messaging a friend, watching a video, or asking AI to write their response. The survey data suggest this ambiguity is a meaningful driver of the problems documented in Findings 1 and 2.

Figure 8. Most respondents report spending between half and three quarters of their school day on a school-issued device.

Figure 8. Most respondents report spending between half and three quarters of their school day on a school-issued device.

Note: Bars represent the percent of respondents across self-reported levels in response to the question, “In a typical day, how much of your class time do/did you spend working on a device provided by your high school, such as a laptop or tablet?”

What would motivate high school students to put more effort into their academics?

“We need to bring back in person/on paper proctored exams. That's the only way to force students to actually learn.”

—Recent graduate

This rate is lower in charter, private, and home schools. Respondents in traditional public schools report among the highest rates of frequent use on school-issued devices: 64 percent say they spend the majority of their days on them (Figure 9). These rates are significantly lower at private religious schools (51 percent), where the difference is unlikely to be due to chance. The rate is also lower in charter schools (53 percent), though that difference is only marginally significant. All other differences are statistically insignificant due to small sample sizes.[6]

Figure 9. Time on screens is lower in charter and private schools.

Figure 9. Time on screens is lower in charter and private schools.

Note: Bars represent the percentage of respondents who report spending 50% or more of their time spending on school-issued devices depending on school sector. The salmon-colored bar indicates the reference category; confidence intervals calculated at the 95% level; + = p<0.1, * = p<0.05, ** = p<0.01, & *** = p<0.001.

Finding 3a. Device use is linked to students thinking they can get away with missing school.

Heavier reliance on school-issued devices is associated with a weaker belief that attendance matters. Among respondents who spend three quarters or more of their class time on devices, 35 percent think they could get away with skipping school without it affecting their grade. By comparison, just 16 percent of those who spend a quarter or less of class time on devices think they could get away with skipping class (Figure 10).

Figure 10. Respondents who spend more class time on school-issued devices are more likely to believe that missing school won’t affect their grades.

Figure 10. Respondents who spend more class time on school-issued devices are more likely to believe that missing school won’t affect their grades.

Note: Bars represent the combined percentage of respondents who strongly or somewhat agree with the statement, “I could miss school often and it wouldn't really affect my grades,” depending on the amount of time respondents report spending on school-issued devices. Only 39 students reported using devices for “no class time at all.” This category was removed for clarity. The salmon-colored bar indicates the reference category; confidence intervals calculated at the 95% level; + = p<0.1, * = p<0.05, ** = p<0.01, & *** = p<0.001.

Finding 4 Weak grading standards make distraction and AI misuse worse.

Pervasive distraction, widespread AI misuse, and heavy device dependence might matter less if academic standards were robust enough to ensure that honest effort remained a prerequisite for earning good grades. The survey data suggest that’s not the case. A substantial share of respondents report that schools award partial credit for never-submitted work, impose no penalties for late assignments, and allow unlimited test retakes. At the same time, a majority of respondents report earning all A’s or mostly A’s, including many whose standardized test scores suggest that their academic performance is well below that level.

Finding 4a. Over a quarter of survey respondents report getting partial credit for missing assignments.

When students fail to turn in an assignment, the consequences vary considerably by school. Overall, 55 percent of respondents say they receive a zero for missing work, while 29 percent say they receive partial credit even when work is never submitted (Figure 11). An additional 12 percent say there is no consistent policy at their school. In other words, the incentive to complete every assignment is compromised, if not negated, for a non-trivial number of respondents.

Figure 11. Almost one in three students (29 percent) say that they get partial credit for missing assignments.

Figure 11. Almost one in three students (29 percent) say that they get partial credit for missing assignments.

Note: Bars represent the percent of respondents who reported that their school employed each policy for addressing missing assignments.

Most high school respondents also report that they can retake tests or quizzes (Figure 12). An occasional retake for extenuating circumstances makes sense, but making retakes the default policy further erodes the consequences for falling behind.

The most common retake policy is a single retake with the higher score counting (46 percent), followed by a single retake averaged with the original score (23 percent). Nineteen percent say their teachers generally do not allow retakes at all, while seven percent say they can retake exams as many times as they wish.

Figure 12. The vast majority of survey respondents say that they can retake tests and quizzes at least once to improve their grade.

Figure 12. The vast majority of survey respondents say that they can retake tests and quizzes at least once to improve their grade.

Note: Bars represent the percent of respondents who reported that their school employed each policy for retaking tests or quizzes.

Interestingly, recent graduates who attended high schools with stricter grading and retake policies are more likely to say that high school prepared them well for life after graduation (not shown).

Test Retake Policy by Context

There are stark differences between school sectors regarding retakes (Figure 13). Respondents in private religious schools are more than twice as likely as those in traditional public schools to report that test grades are final (43 percent versus 20 percent), while respondents in charter schools are almost half as likely to report the same (11 percent versus 20 percent).

This may reflect the demographics of students served by these sectors. In fact, retake bans are significantly less common for Black (15 percent) and Hispanic (15 percent) respondents and significantly more common for Asian respondents (33 percent) when compared to White respondents (23 percent). We lack data on school context or socioeconomic status that would allow us to dig into this dynamic further. It is troubling that grading standards appear to vary systematically by the racial composition of the students served, and future research with richer contextual data should examine why.

Figure 13. Respondents in private religious schools are more than twice as likely to report no retakes compared to traditional public-school respondents.

Figure 13. Respondents in private religious schools are more than twice as likely to report no retakes compared to traditional public-school respondents.

Note: Bars represent the percent of respondents who say that retaking tests or quizzes is not allowed by school sector and respondent race/ethnicity. The salmon-colored bar indicates the reference category; confidence intervals calculated at the 95% level; + = p<0.1, * = p<0.05, ** = p<0.01, & *** = p<0.001.

Finding 4b. Over half of respondents (57 percent) report getting “all A’s” or “mostly A’s,” including a sizable portion of students with low SAT and ACT scores.

Grade distributions in American high schools have become heavily compressed at the top. Fifty-seven percent of students report earning all A’s or mostly A’s; specifically, 17 percent report all A’s and 40 percent mostly A’s (Figure 14). Just 31 percent report mostly B’s, and fewer than 10 percent report mostly C’s or below. By comparison, the distribution of scores on national standardized assessments suggests that actual academic performance is distributed far more broadly—raising serious questions about whether today's high grades reflect genuine mastery of course content.

Figure 14. Most respondents report that they get all or mostly A’s.

Figure 14. Most respondents report that they get all or mostly A’s.

Note: Bars represent the percent of respondents who placed themselves in each category, based on how they characterize the grades they earn/earned in high school.

The SAT and ACT score breakdowns illustrate the disconnect. Among students who scored under 1000 on the SAT, 44 percent report earning all or mostly As. On the ACT, 33 percent of respondents scoring between 16 and 19 report the same (Figure 15). These two cutoffs are roughly equivalent to the national average for these two tests, meaning that these respondents are in the bottom half of the achievement distribution, yet at least one in three are still earning all or mostly As.

Figure 15. A sizeable minority of respondents at the bottom of the SAT and ACT score distributions still report getting all or mostly A’s.

Panel A

Figure 15, Panel A. A sizeable minority of respondents at the bottom of the SAT and ACT score distributions still report getting all or mostly A’s.

Panel B

Figure 15, Panel B. A sizeable minority of respondents at the bottom of the SAT and ACT score distributions still report getting all or mostly A’s.

Note: Bars represent the percent of respondents by how they characterize the grades they earn/earned in high school depending on their self-reported SAT or ACT score. The salmon-colored bar indicates the reference category; confidence intervals calculated at the 95% level; + = p<0.1, * = p<0.05, ** = p<0.01, & *** = p<0.001.

What would motivate high school students to put more effort into their academics?

“High school students might put more effort into academics if high school classes were even a little bit difficult. As it stands right now, if you want to take challenging classes in high school you can't take on level or even honors classes, you have to take AP or dual enrollment courses, and even then, most of them will not be challenging.”

—Recent graduate

Of course, grades reflect more than test performance (effort, participation, rigor, and so on), so a perfect correspondence between SAT/ACT scores and high school grades would be unrealistic. The concern is not that grades bear no relationship to achievement, but that they appear heavily compressed at the top, which makes high grades a less reliable signal of mastery. It also deprives students of the opportunity to be pushed to reach their greatest educational potential.

Recommendations

The report’s findings point toward a set of practical steps that states, districts, and schools can take to diminish device dependence and misuse, restore the integrity of academic work, and ensure that grades once again reflect what students know and can do.

1. Reduce the amount of time students spend on devices.

The survey data make clear that school-issued devices are a major vehicle for distraction and AI misuse—and that the more time students spend on them, the less inclined they are to show up and do their own work. When it comes to school-issued devices, all schools should decide on usage targets and should even consider strict limits enforced by software that locks students out of these devices once these limits are exceeded.

This is not an argument against technology in education, but the time has come to impose limits on tech use. The evidence here and elsewhere is clear: without such limits, technology tends to consume instructional time rather than supplement it. Fortunately, schools do not have to make these decisions blindly. Most education technology platforms already provide administrators with metadata on student device use, including when, how long, and for what purposes devices are being used.

2. Place greater reliance on in-class, paper-and-pencil and oral exams, and reorient outside-of-class work around preparing for these exams.

If AI tools can write essays, summarize readings, and assist during take-home tests, then any assignment or assessment that can be completed outside of direct teacher supervision is no longer a reliable measure of individual student ability. Schools should place substantially greater weight on in-class, paper-and-pencil and oral assessments, where AI assistance is not available and where what a student knows is directly observable. Whenever possible, those assessments should also be anchored in common or external standards—including statewide end-of-course exams, AP-style exams, or other assessments with fixed criteria—and graded by someone other than the student’s own teacher, ideally without the grader knowing whose work is being evaluated. Homework can retain a role in supporting preparation for such assessments, rather than being graded.

This approach has two advantages: it makes grades a better measure of what students know, and it creates a more appropriate role for AI in high school. If a student uses ChatGPT to prepare a study guide for an in-class exam on the Civil War, reviews it carefully, and then earns an A on the exam, that seems like a reasonable use of the tool. But if the same student uses AI during the exam to generate an essay or complete exam questions for them, the grade no longer reflects the student’s own understanding. In-class, paper-and-pencil assessments are therefore the best available tools for raising standards and limiting AI misuse.

What would motivate high school students to put more effort into their academics?

“Making students work hard for their grades especially making students do work strictly on paper and in class without electronics.”

—Current student

3. Make grading expectations school-wide and explicit by eliminating routine exam retakes and enforcing meaningful consequences for late work.

This report does not provide ironclad evidence supporting a no-retake exam policy, but there was never any evidence supporting the choice to move away from such policies in the first place. Similarly, schools should adopt explicit policies that impose meaningful consequences for late assignments.

It is also high time to treat “grading for equity” policies, specifically unlimited exam retakes and no penalties for late assignments, for what they are—a trendy but risky experiment targeting disadvantaged students that has no serious evidence backing it up. Also, given how popular these policies have become and the continued support they draw in education, we recommend district-wide bans on both policies.

4. Ensure that the firewalls on school-issued devices work and proactively use settings that inhibit off-task technology use.

Two-thirds of students report that YouTube is accessible on school-issued devices. More than a third say the same about recreational games and online shopping. Whatever access controls are currently in place, the data suggest they are not doing what they were designed to do. Districts should use the tools that technology companies have already put at their disposal to limit what students can access on school-issued devices during the school day, close known gaps, and ensure that permitted platforms are limited to genuinely educational purposes.

Many of the tools already in wide use make this easier than it might seem. Google Classroom, for instance, allows administrators to restrict which websites students can visit on school-managed Chromebooks and to monitor activity in real time; YouTube offers a restricted mode that filters mature content, including limiting content to a playlist curated by a teacher. Still, technical controls are necessary but not sufficient. Firewalls can fail, filters can be circumvented, and platform-level settings work only when paired with clear expectations and consistent enforcement. Districts and schools should lead this work, but state education agencies, ed-tech entrepreneurs, and parents all share responsibility for ensuring that devices are used for the pursuit of learning, not distraction.

5. Adopt stricter bans on cell phones and other personal devices.

Students in schools with the tightest phone policies—requiring phones to be locked in pouches or left in a central office—report daily social media use at rates nearly half those of students in schools where phone policies are left to the discretion of individual teachers. The recent momentum behind stricter phone policies in many states and districts is well-placed. Schools that have not yet adopted clear, consistently enforced phone-free policies should do so—and those policies should encompass other personal devices like iPads and smartwatches too. Schools that have adopted such policies in name but not in practice should ensure consistent enforcement.

What would motivate high school students to put more effort into their academics?

“Banning phones. PERIOD. Like not bringing your phone to school at all.”

—Current student

The five steps outlined here are not new. They would restore norms that governed American high schools until recently: high academic standards, clear consequences, and reasonable limits on activities that distract students from learning. Technology has changed; the underlying challenge has not. High schools exist in part to prepare students for the challenges of adult life, and the evidence in this report suggests that too many are failing at that task. The young people surveyed here know it. They are asking, in their own way, for adults to hold the line. We should do exactly that.

Endnotes

[1] LAUSD had already implemented a student cellphone ban during the school day. See here: L.A. Unified Becomes Largest School District Nationally to Approve Cell Phone Ban During School Day

[2] One international example: In Australia, 4 of 5 adolescents confess to circumventing a nation-wide ban on social media use for those under 16.

[3] That said, the survey did not ask whether this use occurred during class, between periods or during study hall, lunch, free time, and so on.

[4] More students report being able to access online activities (see Figure 2) than confess to using them regularly (see Figure 1). For instance, 39% of students say they could access online shopping at school using a personal device only and another 34% said they could access it via a school-issued device for a total of 73%. By contrast, only 16% said that they used online shopping (via any medium) daily.

[5] This runs counter to recent news reports that most young people have an easy time getting around such restrictions. Our finding may reflect the wording of the question—perhaps students think it is difficult to get around firewalls but manage to do so anyway.

[6] Specifically, religious private school students are 16 percentage points less likely to spend the majority of class time on school-issued devices compared to traditional public school students (48% versus 64%, p=0.011) and the difference is 11 percentage points for charter school students (53% versus 64%, p=0.056).

About this Study

This report was made possible through external philanthropic support, as well as from our sister organization, the Thomas B. Fordham Foundation.

We are grateful to author Brian Fitzpatrick, Fordham’s National Research Manager, for his thoughtful work and commitment to the project. External adviser Michael Horn provided helpful feedback on the draft report. Here at Fordham, we thank David Griffith, Chester E. Finn, Jr., Michael J. Petrilli, and Amber M. Northern for providing feedback on the draft; Stephanie Distler for managing report production and design; and Victoria McDougald for overseeing media dissemination. The views expressed are those of the authors alone and do not necessarily reflect those of the foundations that supported this work. The Thomas B. Fordham Institute retains sole discretion over the content of this report.

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Aaron Churchill
9.8.2026
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In Ohio, the big news in the career pathways realm is the state’s recent revamp of the industry recognized credentials system. The makeover was sorely needed given evidence that schools had discovered the easiest-to-attain credentials and pushed students to collect them as shortcuts to graduation. Starting with this fall’s freshman, students must earn credentials from a slimmed-down list of 126 credentials to meet alternative graduation requirements (738 were previously approved). The new catalog is built on a data-driven system that incorporates employer demand and wage outcomes to help ensure students earn credentials of value en route to graduation.

Besides diploma requirements, Ohio also encourages credential attainment through the Innovative Workforce Incentive Program (IWIP). First enacted in 2019, it currently provides up to $725 per credential earned. The IWIP list has always been smaller and more selective than the graduation list, with a strong focus on high-priority career fields such as construction, engineering, healthcare, IT, and manufacturing. However, like with graduation, the IWIP credentials list was largely developed based on subjective judgments rather than objective data.

With the graduation list getting a facelift and more data now available on credentials, the IWIP list merits a closer look. As of 2025–26, the state designated 210 credentials as IWIP eligible, more than the number that’s now approved for graduation. This is a reversal of precedent and a potential concern given that IWIP is supposed to incentivize a narrow set of high-priority, high-value credentials.

The disconnect is noticeable when looking at the most commonly earned IWIP credentials. As Table 1 indicates, nine of the top twenty IWIP credentials earned in 2024–25[1] do not appear on the revamped graduation list. With wage data available by credential, we learn that several of the non-graduation-approved IWIP credentials lead to low-paying jobs. For Ohio students attaining a six sigma greenbelt, certified phlebotomy technician, certified patient care technician, CompTIA fundamentals, and the physical therapy aide credentials, the median income was just $26,000 to $31,000 shortly after high school. That’s barely above the income for a full-time minimum wage job (about $23,000 per year). Such meager wage outcomes help explain the credentials’ exclusion from the graduation list—and highlight the need to revise IWIP standards.

Table 1: FY2026 IWIP funding—top twenty credentials

IWIP update blot table 1
Source: Ohio Department of Education and Workforce, Excel file titled “Innovative Workforce Incentive Program Payment” (FY2026). Abbreviations: NCEER = National Center for Construction Education and Research; EPA = Environmental Protection Agency; NHA = National Healthcareer Association; AWS = American Welding Society. Note: (*) The pre-apprenticeship certificate does not appear on the graduation credentials list, but is a standalone option in the state’s alternative graduation requirements.

Policy options

State officials have some options on how to handle IWIP eligibility in light of recent developments. Let’s explore three possibilities, with the final one (in bold, below) the best approach, in my view.

  1. Maintain the IWIP list as-is. This has the benefit of consistency and would not withdraw future support for schools that may have developed programs in response to the incentive. The problem is that we now know—as a result of extensive analysis of IRCs—that some IWIP credentials have questionable value for students in the labor market. In addition, maintaining an IWIP list that is larger than the graduation list seems at odds with program intent, which is to provide targeted incentive funds for only the highest-value credentials.

  2. Align the graduation and IWIP credentials lists. This has the advantage of creating a unified system. When meeting alternative graduation requirements, students would also be attaining an IWIP credential, which the state subsidizes. The rub is that some graduation-eligible credentials are arguably not ones that the state should incentivize monetarily. Most notably, the cosmetology licenses appear on the revamped graduation list but are not currently IWIP-designated. Given the low wages associated with that career field, those credentials should remain off of the IWIP list. Another challenge is that there will likely be significant pressure on state officials to expand the graduation-eligible list in future years. Automatic linkage to IWIP amid a ballooning graduation list would likely tarnish the incentive program. It also risks deeper “prorations” of the IWIP reimbursement rates if the number of credentials-earned rises within the fixed program budget.[2]

  3. Strategically remove items from the IWIP credentials list or simply start from scratch. This would avoid the problems discussed in the above options, while ensuring that Ohio maintains a more selective IWIP list. One option for accomplishing this is to start from the current IWIP list and remove credentials that have weak employer demand and wage outcomes. Another possibility is to start over: Use the new credentials framework to identify the highest-value credentials and make them IWIP eligible. Safeguarding the selectivity of IWIP will be essential in efforts to build support for increased program funding. Lawmakers are likely more inclined to invest taxpayer funds knowing that the approved credentials lead to strong employment outcomes for students.

State leaders have rightly enacted policies that encourage students to earn credentials. The recent shift towards quality, rigor, and value is critical to ensure that students benefit from attainment. The clean-up of the graduation list was a necessary first step. Now it’s time to do some housekeeping for IWIP as well.


[1] The IWIP program reimburses schools based on prior year credential earning, and is why Table 1 refers to FY2026 funding.

[2] Prorations—i.e., reductions to the maximum reimbursement rates to fit the program appropriation—are already a significant problem with IWIP. In FY26, schools received just $545 per credential (75 percent of the $725 max reimbursement) due to the volume of credentials earned and a limited appropriation of $16 million. 

Policy Priority:
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Jessica Poiner
9.8.2026
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For nearly a year, state lawmakers have been mulling legislation that would help Ohio build on its career-connected learning efforts. Senate Bill 328, which was passed unanimously by the Senate and is currently in the House, primarily focuses on K–12 students and schools. Its provisions include a requirement that districts provide career exploration instruction to middle schoolers and that students create individualized academic and career plans by the end of eighth grade that must be updated throughout high school. It also calls on the Ohio Department of Education and Workforce (DEW) to establish a statewide career coaching framework that districts must use to provide every middle schooler with at least one career coaching session.

Collectively, these provisions would provide Ohio students with more career advising support than they currently receive. That’s reason enough for lawmakers to pass this bill as soon as possible. But SB 328 is best viewed as a starting point, not a finish line. To be truly prepared for the future, students will need much more than career exploration and a single coaching session in middle school. They’ll need consistent support throughout all their schooling years.

For clues about how to make that happen, Ohio should look to the Lone Star State.

In Texas, the Effective Advising Framework (EAF) helps districts and schools develop and implement an integrated approach to career and academic planning for students. The planning and implementation process for EAF is—much like Texas’s teacher performance pay system—a complex one. The state’s website offers plenty of information for those interested in more detail, as does a recently published TNTP case study[1] and some additional analysis. For the purposes of this blog, though, let’s focus on three primary lessons that Ohio could glean from Texas.

Lesson 1: Prioritize support for counselors and advisors.

EAF consists of five levers that form the basis of an effective advising program. The second lever focuses on the importance of having effective, well-supported counselors and advisors. It identifies three “essential actions” that describe what the “most effective” school counseling programs do. All three emphasize two key issues: recruitment of and support for school counselors and advisors.

Recruitment matters because of simple math: If every student is to receive consistent, in-depth advising, then schools are going to need a lot of adults to fill those roles. School counselors, who already have very full plates, can’t be expected to do it all on their own. The EAF’s second lever notes that it’s important for program leaders and administrators to “identify and partner with feeder institutions who can support the talent pipeline of new school counselors and advisors.” In Ohio, state officials could help by creating an RFP that allows nonprofits and other organizations with expertise and experience in career advising to apply for state approval to offer their services. DEW would evaluate these applications and establish a list of providers who meet state expectations and have a documented history of assisting students. Districts and schools that choose to work with state-approved providers could then have a portion of the service cost covered by the state.

Support, meanwhile, can mean the difference between retaining advisors and scrambling to fill positions each year. Again, the EAF’s second lever identifies some promising ideas. They include developing a training experience for all new counselors and advisors to ensure they’re effectively onboarded; annually providing high-quality training that’s specific to individual roles; routinely tracking the performance and progress of counseling staff using normed evaluation tools along with student data; and ensuring that staff participate in meaningful professional development opportunities like visiting colleges and trade schools, completing training on financial aid, engaging with employers, and participating in mentorship experiences.

Lesson 2: Regularly seek feedback from impacted stakeholders.

According to the TNTP case study, more than 300 district and campus staff members were asked to share feedback on their experiences with the EAF pilot in May 2026. A whopping 94 percent of those surveyed reported satisfaction with their EAF coaching experience. In particular, they highlighted the value of having dedicated coaching support, practical tools, and protected time to focus on advising.

It’s great news that adults are having such positive experiences. But the true stakeholders in advising initiatives are students. TNTP notes that each year, districts participating in the pilot gather feedback from students through an anonymous survey. During the three most recent school years (2023–24 through 2025–26), students’ perception of their experiences improved by 3 to 7 percentage points across all topics. In 2025–26, 77 percent of students responded favorably about their future plans, while more than 65 percent responded favorably about pathway awareness, counselors, and the internal culture of advising.

These positive results are a feather in the cap of EAF. But for Ohio, the takeaway isn’t just that a system like the one in Texas can work—it’s that regularly seeking feedback matters. Students and staff should have consistent and meaningful opportunities to share what’s working and what’s not. District and state leaders should respond accordingly.

Lesson 3: Keep an eye on outcomes.

Texas measures student preparedness via a set of indicators known as College, Career, and Military Readiness. Criteria include completing dual credit coursework, earning an industry certification, and enlisting in the military. Not only do districts’ scores on these indicators contribute to their ratings on the state’s accountability system, but the Texas Education Agency also annually awards funding based on outcomes. According to TNTP, the first cohort of districts participating in EAF gained an average of 11 points over two years. The second cohort gained an average of 7 points in its first year. Although both cohorts began at a higher rate than the state average, they both showed the same or a higher rate of growth as the state.

Ohio has a similar set of indicators, though ours is known as the College, Career, Workforce, and Military Readiness component. As districts expand and improve the career advising they offer to students, state leaders and advocates should keep a close eye on improvements (or lack thereof) on this component. Districts that jump in the ratings deserve kudos (and perhaps bonus funds)[2]. Those with flat or declining results might benefit from additional support or even intervention.

***

Over the last few years, state leaders have done an admirable job of building on Ohio’s career-connected learning foundation. But there’s still a considerable amount of work to be done. Passing Senate Bill 328 is the first step. But after that, policymakers will need to keep pushing for more and better career advising opportunities. Following in Texas’s footsteps would be a solid place to start.


[1] For the past five years, TNTP has partnered with the Texas Education Agency to pilot the framework across the state.

[2] While directionally correct, Ohio’s CCWMR measure could use a few improvements before being linked to bonus funds.

Policy Priority:
Standards & Accountability
Topics:
Teachers & School Leaders
Jeff Murray
9.8.2026
Sector mixing among US homeschoolers SR image
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Homeschooling in the United States is often imagined as an all-or-nothing decision: Families who choose it do so full-time, for all their children, across their entire K–12 education. Recent findings from Johns Hopkins University’s Homeschool Research Lab revealed a more complex picture of students moving between educational settings (homeschool, public school, co-ops, etc.) at different points in their lives. But explanations for and descriptions of these switches were absent. A new report from the lab’s researchers remedies that.

Albert Cheng, Angela Watson, and Matthew Lee use data from three administrations of the National Household Education Surveys (NHES) to a nationally representative sample of U.S. households in 2012, 2016, and 2019.[1] Each household included provides information about schooling experiences, parent involvement in their child’s education, family life, and demographic characteristics for one randomly selected school-aged child in the household. While NHES defines a household as “homeschool” or “conventional school” based on the response for that single sampled child, the survey does actually ask about the educational mode of other school-age children in the home. The analysts exploit this additional data for their study. Households in which the sampled child had no siblings or only had siblings who were too young/too old to be enrolled in primary and secondary schooling were excluded. The final sample comprised 25,261 households.

First, the team provides summary statistics to illustrate the prevalence of what the they call “sector mixing”—that is, a family simultaneously having at least one child in homeschooling and at least one other child in a district or private school. Over all three waves of NHES data, an average of 2.5 percent of U.S. households with more than one school-aged child practiced sector mixing. This includes a majority (53 percent) of the multi-child households that NHES deemed “homeschoolers” via their single-sampled-child methodology. The remaining 47 percent of multi-child homeschoolers were indeed exclusively in that setting. Nearly all (97 percent) of the multi-child households deemed “conventional schoolers” were exclusively so—although that could include a public and a private school within one family, a different type of “mixing” than the analysts are looking at here. The percentage of conventional schooling families embracing homeschooling for one or more children rose between the 2012 and 2019 administrations of the NHES survey, from 1.6 percent to 2.8 percent.

Family size, parental education, and parental employment status had the largest impact on sector mixing. Keeping in mind that the overall rate of sector mixing is low (2.5 percent), even small changes in likelihood are significant. Every additional child increased the likelihood of a family practicing sector mixing by about 1 percentage point. White families were more likely to practice sector mixing than Black, Hispanic, and Asian/Pacific Islanders by roughly 1 percentage point; households with college-educated parents were more likely to practice sector mixing than their high-school-diploma-only peers. Households in which both parents are working for pay were 1.6 percentage points less likely to practice sector mixing than households in which one or neither parent is working for pay. Sector mixing declined, however, at the highest income levels, with the wealthiest families in the survey nearly 2 percentage points less likely to do so than the lowest-income families. Sector mixing was more common in the South and West, but there were no significant differences in mixing rates based on urban, suburban, or rural locations.

NHES homeschool families were asked to consider eight specific reasons[2] for homeschooling their child and to choose all that applied to them. The analysts found that reasons related to “household needs” (such as providing religious or moral instruction and wanting a non-traditional approach to education) led to far less likelihood of sector mixing (by 10 to 15 percentage points, compared to the full NHES sample), while reasons related to “child-level needs” (like illness or mental health concerns) led to a much higher likelihood of sector mixing in the household (16 to 19 percentage points).

The researchers believe that their estimates of sector mixing among U.S. families likely underreport the true numbers due to the fact that the NHES surveys are not designed to provide the full data required for proper calculation. Nevertheless, they conclude that the picture of “the variegated nature” of homeschooling their estimates paint—prevalence, motivation, demographics, etc.—is valuable. This is especially true of sector mixing between homeschooling and traditional public/private schools. More data are required, but the questions needing answered by those data are becoming more and more clear.

SOURCE: Albert Cheng, Angela Watson, and Matthew Lee, “An analysis of educational sector mixing among U.S. homeschooling families from three waves of the national household education survey,” Cambridge Journal of Education (August 2026).


[1] 2023 data were captured, but are not publicly available as yet.

[2] (1) concerns about school environment such as safety, drugs or negative peer pressure; (2) dissatisfaction with academic instruction in school; (3) desire to provide religious instruction; (4) desire to provide moral instruction; (5) the child has a long-term mental or physical health problem; (6) the child has a temporary illness that prevents him or her from going to school; (7) the child has a special need that the school cannot or will not meet; and (8) interest in a nontraditional approach to the child’s education.

Policy Priority:
School Choice
Topics:
Personalized Learning
Jeff Murray
9.4.2026
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More anomalies

Back in June, the Ohio Department of Education and Workforce announced an investigation into spring state testing results in Columbus City Schools after unspecified “anomalies” were reported by the district at two high schools. Today, DEW has announced that a wider investigation found more such anomalies in both district and charter schools across the state. This is a developing story. Initial coverage with a Franklin County focus is here. The full list of schools involved in the investigation can be found here.

Celebrating success

As part of its Bright Spots coverage, highlighting schools where staff members are using the science of reading to boost early literacy success among their students, The 74 featured this piece on Nashville Classical East charter school. It is written by the school’s founder and executive director and is classified as an editorial with the usual disclaimers attached. Charlie Friedman reports that 81 percent of Nashville Classical East third graders scored proficient on Tennessee’s state test this summer. He contrasts this to four years earlier when proficiency stood at 40 percent and explains all the changes the staff made in that time—eliminating ineffective practices and replacing YouTube videos with teacher and student read-alouds, to name just two—and says he is confident that their success can be replicated by any other school or district. Here’s hoping that many do so.

New dropout recovery school launches

Here’s a look at Ohio Bridge Connections Academy, a new online dropout recovery charter school that launched in late August, aiming to support students who have not been well-served by their schools in the past and have fallen behind. “We believe students who are eager to earn their high school diploma can achieve that goal with the right support,” says school leader Jason Swinehart. “By providing targeted guidance, personalized attention and the flexibility to meet students where they are, we help them regain confidence, build momentum and take meaningful steps toward graduation.” Best wishes for a successful year to all students and staff.

New year, new policies

A raft of new education policies are in effect in Iowa for the 2026-27 school year. These include teacher salary boosts for charter schools, the addition of the University of Northern Iowa as an authorizer of new charters, and allowing charter school employees to participate in Iowa Public Employees’ Retirement System. Sounds like positive changes for the sector.

Just glad to start a new year

While many of its young students perhaps did not realize the significance, the staff and families of Wauwatosa STEM School in Wisconsin were relieved and elated to start the new school year after many months of uncertainty. The longstanding, popular, and high-performing charter school was non-renewed by the elected board of Wauwatosa School District last year. (No official reason was ever given for the decision, but previous media coverage noted that the district was touting its own new STEM program, opening this year). The school community fought to overturn the vote, and when that failed, they sought out a new authorizer. University of Wisconsin-Parkside stepped into the breach, resulting in a celebratory first day of school last week.

*****

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Policy Priority:
School Choice
Topics:
Charter Schools
Jeff Murray
9.4.2026
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  1. Let’s start with some kudos—from the editorial team that oversees Ogden Newspapers Group to the Ohio Department of Education and Workforce and all of its partners—on the creation of two new dashboard tools, officially launched (and lauded in these clips) last week. The tools allow the public to track data on high school graduates’ college enrollment and completion, educational attainment, employment, and earnings. Say ye eds: “Better ways to understand the data give us better ways to solve the problem. And the department was wise to make all this information available to everyone. It will take some outside-the-box thinking to make the measurable improvements our students deserve — and all of us need.” Nice! (Norwalk Reflector, 9/4/26)

  2. I’m not sure if this is a new thing related to the big school closure/consolidation effort underway this year, or something they do every year, but Cleveland Metropolitan School District will be opening an official school transfer request portal on Tuesday next week. It will be open through Friday. “Requesting a transfer does not guarantee students will be able to switch schools,” CMSD spokesperson Darrielle Snipes tells Signal Cleveland, because “not all schools and grade levels have open spots. For this reason, it’s important that students continue attending their current school while they wait to hear back.” After that slightly fatalistic explainer, I find myself wondering what within-district options will be available for families whose schools are not working for their kids at other times outside this window. I do know that most charter, private, STEM, and interdistrict open enrollment options will consider kids almost any time in the year. For whatever that fact is worth to you… (Signal Cleveland, 9/3/26)

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Policy Priority:
School Funding
Topics:
Governance
The Education Gadfly
9.4.2026
Gadfly Guy
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WHAT WE’RE READING

It’s not too far a leap from Florida to Texas, where officials joined several other states in rejecting Alpha School’s attempt to open a charter program over concerns about its quality and student outcomes. However, the state will still let the public dollars continue to flow to Alpha’s private campuses through its expansive ESA program since academic outcomes aren’t part of the eligibility criteria for that funding stream. Expect more cases like this as the lines between public and private schools continue to blur.

EXTRA CREDIT:

Chad Aldeman, “Just Pay the Teachers?”

Alli Aldis, “Why Parents Choose a School”

Matt Gandal, “How Detroit Made Education Its Comeback Strategy”

Holly Korbey, “Evidence Is the Antidote in Education”

John Kristof, “We’re Talking About Enrollment Declines All Wrong”

Bruno Manno, “As Students Return, What Did Federal Pandemic Aid Accomplish?”

Robert Maranto, “In the Age of AI, What Should Schools Teach?”

Scott Marion, “How Reading Lists Can Improve Assessments”

Stephen J. Owens, “Want More Equitable School Funding? NBA Salary Caps Can Be a Model”

Caitlin Peartree and David Winston, “Are the Schools Ready? Ready for What?”

Andrew J. Rotherham, “Education got there first? The breakdown of traditional left-right delineations.”

Shane Vander Hart, “Rob Sand’s ‘Common Sense’ ESA Reforms Don’t Add Up”

Natalie Wexler, “How Should AI Be Used in Schools?”

Patrick J. Wolf, “Chronic absenteeism plagues our schools and society”


Editor's note: This was first published on Mike Petrilli's Substack, SCHOOLED, a free Substack and email newsletter restarting the education-reform conversation. Click here to subscribe for sharp analysis of the week’s biggest K–12 debates, curated commentary from across the ed-policy world, and lively discussion—including reader reactions and pushback.

The Education Gadfly
9.4.2026
Gadfly Guy
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CHEERS

MJ Slaby shares limited good news from Indianapolis, where the school board unanimously voted to end its pandemic-era “no-zeros” policy. District leaders took feedback from teachers and shifted toward a “happy medium” where students must show some attempt at completing assignments to earn points.

—

Good news from Denver, too, where accountability seems to be working. Four schools at risk of closure made serious efforts to improve student outcomes, boosting their ratings enough to stay open and continue their good work.

—

Let’s make it a hat trick with good news from…(checks notes)…New York? “Mayor Zohran Mamdani is locked in an unlikely showdown with a powerful classroom ally: the New York City teachers union,” reports James Fanelli. The Democratic socialist mayor is taking on his own base, suing to stop a fiscally irresponsible bonus payout to school aides despite the union boss’s threat of “all-out war.”

JEERS

Florida Attorney General James Uthmeier, perhaps in a misguided attempt to distract from the corruption allegations engulfing him and many others in the governor’s orbit, decided to take on the Catholic Church. He’s threatening to ban Catholic schools in the Sunshine State from its voucher program if they require vaccinations for their students, arguing that the bishops have “no legitimate religious reason” to deny religious exemptions. The current saber-rattling may be a culture war attention grab, but it raises important questions about how much control states should have over private schools accepting public funding for vouchers, and whether accepting the funds—and the rules—removes the qualities that make those private schools appealing to families in the first place.


Editor's note: This was first published on Mike Petrilli's Substack, SCHOOLED, a free Substack and email newsletter restarting the education-reform conversation. Click here to subscribe for sharp analysis of the week’s biggest K–12 debates, curated commentary from across the ed-policy world, and lively discussion—including reader reactions and pushback.

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