After nearly three years of experimentation with AI in higher education, we've reached an inflection point. The initial wave of panic and promise has settled, leaving us with a crucial question:
What difference do we actually want AI to make in teaching and learning?
The AI in Learning newsletter emerges from that question. We're not here to cheerlead for AI, nor to catastrophize about its impact. Instead, we're creating a space for considered perspectives grounded in real classroom experiences—embracing both the discomfort and excitement of this transformative moment.Each month, you'll hear from educators across Northeastern University and beyond who are experimenting thoughtfully, failing instructively, and discovering what actually works.
We'll share concrete practices, surface critical questions, and explore hits and misses with equal curiosity. Most importantly, we'll keep returning to what matters most: human-centered teaching that serves our students.This isn't about the technology. It's about pedagogy meeting possibility. It's about preserving what makes education transformative while exploring how AI might enhance—not replace—the irreplaceable work we do as educators.Welcome to the conversation.
Your voice, your experiments, your questions—they all matter here.
Want to share an idea with us? Feel free to contact us at [email protected]

As Senior Vice Chancellor for Learning Strategy, James develops the overall philosophy, approach, and strategies associated with learning across the university, ensuring that Northeastern remains at the forefront of global education trends. This collaborative work leverages cutting-edge technologies, progressive teaching methodologies, and data-driven insights to shape learning experiences for students and faculty, helping them to thrive across a variety of rapidly evolving contexts.James has been passionate about creating transformative educational experiences for over two decades. Before joining Northeastern, he held diverse leadership roles in education design, learning innovation, product development, and interdisciplinary research at Minerva University, Minerva Project, and Atypical AI.James holds a doctorate in philosophy from the University of California, Berkeley, where he also earned his bachelor’s degree, and a master’s degree in philosophy from Boston College. He completed postdoctoral work at Stanford University and began his career in education as an assistant professor of philosophy at Rutgers University, Camden.

Dr. Lance Eaton believes education should be accessible to everyone, though figuring out how keeps him busy. Since 2011, Lance has worked as an instructional designer and faculty developer throughout New England, teaching across disciplines that shouldn't fit on one business card: history, English, technology, education, and social sciences. This eclectic background means he's constantly learning alongside colleagues and discovering he doesn't know as much as he thought. His PhD from UMass Boston explored why scholars turn to academic pirate networks for research literature, revealing much about what's broken in academic publishing.His current work wrestles with digital tools' possibilities and challenges in education. He's drawn to questions without easy answers: How do we ensure technology expands access rather than creating barriers? How do we navigate AI without losing what makes learning human? Lance believes the best insights come from collaboration because none of us have all the answers.

Rachel explores how educators navigate AI while keeping human connection at teaching's heart. A longtime teacher of multilingual students and teacher educator, she now collaborates on faculty development at CATLR. Rachel earned her masters in Anthropology at the Università degli studi di Firenze, her M.Ed. in TESOL at Rhode Island College, and her doctorate in Curriculum, Teaching, Learning, and Leadership at Northeastern University. Her dissertation examined how storytelling in teacher education expands asset-based perspectives of cultural and linguistic diversity. For her, good teaching centers meaningful relationships and collaboration. Her journey from teaching multilingual students to AI-related research reflects an ongoing commitment to wrestling with complex questions alongside fellow educators. Rachel approaches AI's challenges with curiosity and humility, knowing that we're all learning how to teach authentically with these new tools together. Off campus, she creates community the Italian way—around a table full of homemade food and good conversation.

Jason is the director of educational technology strategy, supporting the adoption of innovative teaching platforms and ensuring faculty and students know how to use them well. He became obsessed with innovation in teaching even before graduate school, when he was working on training simulations at the Institute for the Learning Sciences. For a decade, he co-edited ProfHacker, a site about teaching, technology, and productivity, hosted at the Chronicle of Higher Education. Having worked at a SLAC, a global online university-cum-edtech startup, and now Northeastern, his work explores how pedagogy scales across different institutional and cultural contexts.Jason holds a doctorate in Victorian literature and psychoanalytic studies from Emory University. His book, Lost Causes: Historical Consciousness in Victorian Literature was published by Ohio State UP. He currently serves on the advisory board of the Letters of Samuel Beckett Project. He supports Liverpool Football Club, goes to more rock shows than is strictly healthful, and is devoted to his boxer.

Gail has a Ph.D. in Folklore and decades of experience teaching across the disciplines of oral history, education, and anthropology. She likes connecting with people to learn about their communities, work, and passions. Most people are hungry for someone to care about their interests, to be asked questions and listened to deeply. She enjoys experiences that 1) engage students in the co-creation of work that has value beyond the class, worth sharing with a wider audience; and 2) involve students in telling the story of what they gained and how their work illustrates those gains. She’s excited to imagine what this learning approach might look like in an age of AI. Gail is known nationally for her work in digital storytelling and ePortfolios. In 2014 she received Northeastern’s CPS Teaching Excellence Award. Long walks create an opportunity to see more of the world, and for this reason she’s an avid hiker.

Michael Sweet has always been fascinated with the generative tensions between the individual and the group, and how each can make the other flourish. His PhD in Educational Psychology and his MA in Group Communication both focused on fruitful ways that the lines between “me” and “we” can be drawn. He has been a national leader in the development of Team-Based Learning and has supported the growth of teachers in higher education since 1995. He sees the advent of generative AI as driving higher education into an era of intense intra- and inter-personal upskilling: creating more values-driven and self-directed learners whose educational experiences are not only personally meaningful for them but also have concrete impact on others in the world. His cats think this is a grand idea.