AI in Education: Classroom to Campus

# AI Education
# AI Pedagogy
# AI Adoption

Event Replay: Minus AI, Plus AI, Times AI — A Vision for an AI Pedagogy

The OpenAI Forum hosted educator and data artist Greg Niemeyer from UC Berkeley for a talk on how AI is transforming learning, teaching, and thinking. Building on OpenAI’s mission to ensure broadly distributed benefits from AI, Niemeyer introduced a “Minus AI, Plus AI, Times AI” framework: minus AI for intentionally tech-free, embodied learning; plus AI for transparent, dialectical collaboration with AI; and times AI for AI as a medium that restructures knowledge itself. He proposed a cognitive insight formula—C = Q × T × K where meaningful learning depends on the quality of questions, the strength of trust, and the richness of the knowledge base, emphasizing that if trust collapses, learning outcomes collapse as well. Throughout the talk, he shared concrete classroom experiments showing how AI can either de-skill students or spark creative divergence and multiplayer learning when used thoughtfully and transparently. He closed by urging educators and learners not to choose one mode, but to move wisely among minus, plus, and times AI to keep curiosity, meaning, and our shared “we” at the center of education in the age of AI.
Greg Niemeyer
Natalie Cone
Greg Niemeyer & Natalie Cone · Nov 14th, 2025
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Lukasz Kaiser
Lukasz Kaiser · Oct 8th, 2025
Łukasz Kaiser’s OpenAI Forum talk, “Learning Powerful Models: From Transformers to Reasoners and Beyond” offered a research-focused but deeply values-aligned reflection on how AI is evolving from data-hungry systems toward reasoning models that learn more efficiently and safely. The framing he used emphasized safety, learnability, and human-like reasoning. He consistently underscored that making AI more learnable from less data and more computationally powerful ensures that progress in AI remains beneficial, efficient, and accessible to all, rather than concentrated among a few actors.
# OpenAI Presentation
# AI Research
Casey Cuny
Casey Cuny · Sep 26th, 2025
The conversation, featuring educator and California teacher of the year, Casey Cuny showcased how ChatGPT is transforming education. Cuny emphasized AI literacy as a moral imperative, framing AI as an opportunity. He spoke about democratizing AI benefits, boosting productivity, expanding educational access, and reinforcing the importance of ethical, human-centered use. The dialogue also highlighted teacher adoption, policy considerations, and workforce readiness—areas where democratic AI values, infrastructure investment, and shared benefits intersect.
# AI Education
# ChatGPT Tips
# Edu Use Cases
Siya Raj Purohit
Jason Horne
Jaci Jenkins Lindburg
+3
Siya Raj Purohit, Jason Horne, Jaci Jenkins Lindburg & 3 content:more content:speakers · Mar 12th, 2025
Welcome to our virtual event, "Building an AI-Powered University," hosted by the OpenAI Forum. The session, moderated by Natalie Cone, OpenAI Forum Community Architect, began with a reminder of OpenAI's mission to ensure that artificial general intelligence (AGI) benefits all of humanity. The event featured a keynote speech by Leah Belsky, VP of Education at OpenAI. Leah discussed the transformative potential of AI in education, emphasizing the goals of enabling global access to AI for students and teachers, powering AI-driven educational products, and fostering collaboration to enhance AI's educational impact. The panel included Jason Horn, a technology investment banker and the evening's facilitator, who has a rich background in the education technology sector; Alex Persaud, Assistant Vice President of Enterprise Engineering and Operations at the University of Maryland, who manages critical infrastructure and co-chaired the university’s AI commission; Dr. Jaci Lindberg, who combines roles at the University of Nebraska to push innovation in digital learning and IT strategy; and David Brubaker, who leads AI initiatives at the Wharton School, focusing on aligning AI with educational priorities. During the discussion, panelists shared their diverse experiences with AI implementation at their institutions. They highlighted the impact of AI tools like ChatGPT in enhancing both the student and faculty experience and improving operational efficiencies across university functions. The session transitioned into a virtual networking event, allowing participants to engage directly with thought leaders and peers interested in AI's future role in education. The event concluded with Natalie Cone encouraging participants to continue the dialogue on AI in education through upcoming OpenAI Forum events and platforms like LinkedIn and Substack, fostering ongoing collaboration and innovation in the field.
# Higher Education
# AI Adoption
# AI Literacy
Siya Raj Purohit
Jake Cook
Natalie Cone
Siya Raj Purohit, Jake Cook & Natalie Cone · Mar 12th, 2025
The OpenAI Forum hosted an engaging session titled "Harvard’s AI-Enhanced Classroom: Revolutionizing Learning with Custom GPTs", featuring Jake Cook from Harvard Business School and Siya Raj Purohit from OpenAI. Siya provided insights into AI-native universities, showcasing how ChatGPT transforms education at individual, team, and institutional levels. Jake presented real-world applications of AI in his classroom, emphasizing creative experimentation, personalized learning, and the power of play to unlock students' potential. The event highlighted innovative uses of AI, including custom GPTs for dynamic teaching and adaptive learning, fostering both efficiency and critical thinking. The discussion underscored AI's role in reshaping education and left participants with actionable insights and strategies for adoption.
# Higher Education
# Future of Work
# AI Adoption
Richard Paul Waterman
Siya Raj Purohit
Nupur Jain
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Richard Paul Waterman, Siya Raj Purohit, Nupur Jain & 2 content:more content:speakers · Oct 23rd, 2024
The recent OpenAI Forum event titled "How Wharton is Becoming an AI Native Institution" was a fascinating discussion led by Natalie Cohn, OpenAI Forum’s Community Architect, and featured experts like Dr. Richard Paul Waterman, a professor from Wharton, as well as his collaborators, MBA students Nupur Jain and Ceren Okar, and IT project lead Brandon Lafving. The event highlighted how Wharton has integrated AI into its educational framework, focusing on Dr. Waterman’s AI-based tools such as the "StatBot". These innovations aim to enhance the learning experience by automating tasks like summarizing lectures and improving faculty collaboration through data sharing. The team shared insights into the process of AI adoption, emphasizing that the demand for AI-powered tools is growing, with students driving the initial engagement. Throughout the event, participants also discussed broader trends in AI adoption within higher education, including how faculty and administrators can overcome challenges by integrating AI more seamlessly into the curriculum. Sia Raj Purohit, OpenAI’s education leader, further outlined a three-stage framework for AI transformation in universities, beginning with individual faculty adoption, moving toward department-level collaboration, and culminating in full organizational integration. Dr. Waterman and his collaborators demonstrated how Wharton is leading the way in AI-native education, both with student-focused AI tools and faculty-driven innovations, providing a glimpse into the future of higher education powered by AI.
# Higher Education
# GPT-4
# Everyday Applications
Ahmed El-Kishky
Hongyu Ren
Giambattista (Gb) Parascandolo
Ahmed El-Kishky, Hongyu Ren & Giambattista (Gb) Parascandolo · Oct 4th, 2024
Natalie Cone introduced three key contributors to OpenAI's O1 model, Ahmed Elkishki, Hongyu Ren, and G.B. Parascandolo, who discussed the development and reasoning capabilities of the O1 model. The speakers shared insights on how the O1 model utilizes reinforcement learning to develop its reasoning skills, including breaking down complex problems into sub-steps, error correction, and employing a structured thought process, similar to how humans solve problems. The discussion emphasized the significance of reasoning in AI, highlighting O1's ability to handle complex tasks, including high-level math problems and code generation. Ahmed presented O1's advanced capabilities, showing its superior performance in benchmarks like AIME and Codeforces, demonstrating how reasoning allows the model to explore different approaches before reaching a solution. Hongyu introduced O1 Mini, a smaller, more cost-efficient version optimized for STEM tasks, while maintaining high performance in general inquiries. The event also included a Q&A session, where the speakers addressed questions on the nuances of reasoning, O1's applicability in creative domains, and its potential impact on AGI development. Overall, the discussion showcased O1 as a pioneering advancement in reasoning-focused AI, with significant implications for the future of large language models.
# AI Research
# o1 reasoning model
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