All submissions are in for the 2023 Wonkathon
Vote now for the Wisest Wonk!
Polls close Tuesday, November 28, at 1:00 p.m. ET.
Vote using our survey or on X (formerly Twitter).
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For several years now, the Thomas B. Fordham Institute has hosted an annual Wonkathon on our Flypaper blog to generate substantive conversation around key issues in education reform. This year, we asked contributors to address this fundamental and challenging question: How can we harness the power but mitigate the risks of artificial intelligence in our schools?
All eleven entries are now posted on our website, so as in years past, we’re asking the public to vote for whom they think is 2023’s “Wisest Wonk.” The polls are now open, and voting will be done in two ways: with our online survey and on Twitter by “liking” a post in our thread. A voter can make their selection using one medium or the other. Everyone will have until 1:00 p.m. ET on Tuesday, November 28, to pick a favorite. We’ll then tally everything up and announce our first-, second-, and third-place winners in the November 30 edition of the Education Gadfly Weekly.
Read each entry below—and then vote!
- Accountability will be the bedrock of AI in education, by Khaled Ismail
- An overlooked application for AI: The city as a Montessori shelf, by Travis Pillow
- From chalkboards to chatbots: Ethically embracing AI in education, by Jen Stauffer
- Harnessing powerful AI while mitigating risks: It’s about the data!, by Jeremy Roschelle
- How we can use AI to increase access and equity in science education, by Melissa Peplinksi and Haley Gaudreau
- Mitigating the risks of AI in today’s schools: A new taxonomy for the information age, by Beth-Ann Tek, Ph.D.
- Reimagined: AI can be a catalyst for a more learner-centered system of education, if done right, by Alex Spurrier and Amy Chen Kulesa
- Robot teachers, by Anonymous
- Transformative for the motivated and mere meh for the unmotivated: How AI will and won’t affect learners, by Sean Geraghty and Mike Goldstein
- Using artificial intelligence to measure the effectiveness of professional learning, by Annie Morrison
- Why AI doesn’t worry me in the classroom, and why it does, by Thomas Courtney
