Jeff Greene

Jeff Greene

@jeffgreene.bsky.social

Prof of Ed Psych & Learning Sciences at UNC-CH | Scholar, speaker, consultant studying how people learn in the digital world | APA & AERA Fellow | Journal & Handbook Editor | Book Author | Views are my own. https://linktr.ee/jeffgreene

4.1K followers2K following3.9K posts

According to 30 experts in the learning sciences, GenAI can help students generate alternative ideas, perspectives, examples, or strategies - when those students already know something about the content. Find out more here: www.cehd.umn.edu/AI-expert-co...

cehd.umn.eduExpert consensus report: Ways generative AI can support and threaten learning in K-20 U.S. educationThis report documents the findings and methodology of the consensus research project on Generative AI's impact on learning in K-20 U.S. education.

...latent profile analyses that produce the "hamburger pattern" of high-med-low. This study had a fourth profile, but overall I wonder if we (including my team) need to rethink how to capture motivation profiles.

Why do some students know how to maximize their potential and others struggle? Well, rarely is it because of “intelligence” - more often, it is because successful students know how to self-regulate their learning, and the rest just need to some help learning how to do it. youtu.be/wHjNkbBy1-c?...

youtu.beJeff Greene - Self Regulated LearningJeff Greene, professor of educational psychology and the learning sciences at the University of North Carolina at Chapel Hill, explains how self-regulated learning helps students take charge of their…

I very much appreciate being interviewed for The Brainwaves Video Anthology. I do think it's amusing how the AI altered my appearance here. No shade - I know this technology is used by lots of media companies. It's just funny how it smoothed out (some of) my rough edges.

Jeff Greene reposted

Why do some students know how to maximize their potential and others struggle? Well, rarely is it because of “intelligence” - more often, it is because successful students know how to self-regulate their learning, and the rest just need to some help learning how to do it. youtu.be/wHjNkbBy1-c?...

youtu.beJeff Greene - Self Regulated LearningJeff Greene, professor of educational psychology and the learning sciences at the University of North Carolina at Chapel Hill, explains how self-regulated learning helps students take charge of their…

Perhaps this is an indicator that "I am getting too old for this shit" but none of these seem like "killer" tasks that would save me a lot of time. But here are five things that would be "killer" if done perfectly every time: 1) De-anonymizing my accepted manuscripts www.nytimes.com/2026/10/25/t...

nytimes.comPut Your A.I. Agents to Work with These 4 Killer Tasks (Gift Article)When you start using Meta’s Muse and OpenAI’s dots for these tasks — like applying for jobs and booking hard-to-get restaurant tables — you may never go back.

2) Verifying proofs matched final submitted manuscript 3) Stopping me before I use an outdated statistical technique and suggesting an alternative 4) Handling all paperwork for University travel 5) Converting unnecessary meetings to emails and sending them automatically

Good argument for early doctoral training having at least some component of interdisciplinary exposure to complement deep disciplinary expertise-building. And then rewarding later-career scholars for interdisciplinary integration. I aspire to such integration and impact.

journals.sagepub.comDepth or Breadth? Domain-Specific Expertise and Cross-Domain Engagement in the Development of Scholarly Excellence - Lorne M. Hartman, 2026Scholarly excellence is often equated with deep specialization within a single domain, a premise embedded in doctoral training, peer review, and academic-evalua...

I will not overreact to whatever happens in the Sixers v. Knicks game tomorrow. I will not overreact to whatever happens in the Sixers v. Knicks game tomorrow. I will not overreact to whatever happens in the Sixers v. Knicks game tomorrow. I will not overreact to whatever happens in the Sixers...

There's a real "noise" problem in the research on how #GenAI affects learning. Too many poor studies, not enough rigor. But our experts did agree on several key points. Find out what they said in the full report, here: www.cehd.umn.edu/AI-expert-co...

cehd.umn.eduExpert consensus report: Ways generative AI can support and threaten learning in K-20 U.S. educationThis report documents the findings and methodology of the consensus research project on Generative AI's impact on learning in K-20 U.S. education.

Yes! Until the empirical research base improves, findings from the learning sciences can help us ask the right questions and make reasoned inferences about whether and how GenAI affects learning - and for whom, under what conditions. www.insidehighered.com/opinion/view...

insidehighered.comScience of Learning Should Guide AI Use Decisions (opinion)AI tools may be evolving quickly, but we have a deep research base we can draw on to determine how they help meet—or undermine—any particular learning goal.

"The review highlights the need for stronger alignment between learning constructs and assessment methods, more process-sensitive evidence, clearer reporting of governance practices, and greater attention to equity in GenAI-supported higher education." We must move past survey measures of learning.

doi.orgMapping generative AI in higher education teaching and learning: a scoping review - International Journal of Educational Technology in Higher EducationGenerative artificial intelligence (GenAI) has rapidly entered higher education, but empirical research on its roles in teaching and learning remains fragmented across instructional activities,…

Jeff Greene reposted

This is a terrific discussion of the problems with the current state of meta-analytic research on how GenAI affects education and learning. Poor research, meta-analyzed poorly. And many folks doing primary research on GenAI aren't even asking the right questions. www.youtube.com/watch?app=de...

youtube.comPresumed Effective: The Manufacturing of an Evidence Base for AI-in-Ed Through Flawed Meta-AnalysisYouTube video by MIT Teaching Systems Lab

I appreciate this report on cell phone policies in schools. Excessive non-academic use of technology in schools, particularly during class, is distracting and harmful - I doubt many people will argue with that. The challenge is how to address it in productive ways. Systemic interventions are needed.

nepc.colorado.eduCell Phone Policies in Schools: A Science and Policy Update on the Effects of Students’ Non-Academic Screen UseA new policy brief reviews research on non-academic screen use in schools and the emerging evidence on policies that restrict it. The authors find that such use during class is associated with lower…

“A 57 percent majority of U.S. adults said AI is a bad thing for society, with about one-third saying it is “extremely” or “very” bad. Two out of every 3 Americans oppose the construction of new U.S. data centers, the warehouses that house the powerful computer systems behind AI.” wapo.st/4eJPTeN

wapo.stMost Americans give a thumbs down to AI and how Trump is handling itThe findings show a gulf between a public worried by the technology and a president who argues it is essential to economic vitality.

We asked 30 experts in the learning sciences about how #GenAI can enhance or threaten learning. One of their recommendations: teach students to think well with GenAI, rather than simply how to use GenAI well. More insights in the full report, here: www.cehd.umn.edu/AI-expert-co...

cehd.umn.eduExpert consensus report: Ways generative AI can support and threaten learning in K-20 U.S. educationThis report documents the findings and methodology of the consensus research project on Generative AI's impact on learning in K-20 U.S. education.

“There is a surprising disconnect between the public perception and employer behavior, and what AI might mean for the future value of a college degree…Employers are hiring for the things that AI can’t do. They’re putting a premium on judgment, critical thinking, communication and adaptability”

insidehighered.comEmployers Say AI Will Make College Degrees More ImportantAnd most employers prefer to hire workers with a college degree, even if the job doesn’t require one.

I don't like to post about studies I have concerns about. And when I do, I want to be clear I'm focusing on the work and not the authors (I err toward assuming folks are doing their honest best.) But there have been so many of these AI intervention meta-analyses, I worry laypeople will become...

doi.orgEffects of AI Interventions Across Cognitive, Social-emotional, and Academic Outcomes: a Meta-analysis of Randomized Controlled Trials with Nonlinear Dose–response Evidence - Educational Psychology ReviewWhile Artificial Intelligence (AI) interventions are rapidly reshaping education, their developmental value remains theoretically and empirically contested. Prior evidence is limited by causal…

... confused by them. The studies feeding these meta-analyses are usually poorly conceptualized or done, making the meta-analyses useless. And the meta-analyses themselves often reveal serious flaws, as this one does re: study quality measures....

People keep saying #GenAI will eliminate "friction." Without friction we'd all be floating past each other. We need friction to take a step forward. To grasp something. To slow down. I don't want a tool to eliminate friction, I want a tool to help me get better at using friction to achieve my goals.

This is one reason why I frame my thinking around this question: "Is GenAI helping humans improve their agency and knowledge?" If not, then I don't care what output the GenAI spits out.