Teaching and Learning Center

This session introduces adaptive equity-oriented pedagogy (AEP). AEP adapts evidence-based practices (e.g., grading for equity, AI, formative assessments, UDL) to address barriers to student learning. Research studies show that, compared to active learning courses, instructors applying AEP increase average achievement by over a letter grade for all students. AEP also supports positive psychosocial outcomes (e.g., motivation, sense of self-efficacy, sense of community) across disciplines and college contexts. This session highlights strategies that instructors have used to adjust teaching, address equity barriers to learning, and increase achievement in over a dozen courses. It also shares findings on how AEP-Al supported greater student engagement and success across college courses. Presenter Bio: Andrew Estrada Phuong is an assistant professor in the Department of Education Studies at UC San Diego. He earned a master’s degree from Harvard and a PhD from UC Berkeley. His research examines how adaptive equity-oriented pedagogies (AEP), artificial intelligence, and professional development improve student achievement and positive psychosocial outcomes such as motivation, sense of self-efficacy, belonging, and reduced stereotype threat. In over a dozen STEM courses in Computer Science, Data Science, Mathematics, and Statistics, his work has demonstrated that AEP-based professional development increased instructors’ equitable teaching competencies. Instructors have leveraged these competencies to improve their students’ success at scale. He has taught STEM pedagogy courses and co-developed award-winning, campus-wide programs that supported instructors, staff, and managers in using AEP to improve learner success at scale. His work has been recognized with the Teaching Effectiveness Award, the UC Berkeley Chancellor’s Outstanding Staff Team Award, the 2024 Robert J. Menges New Researcher Award from the American Educational Research Association’s (AERA) Faculty Teaching, Evaluation, and Development SIG, and the POD Network’s 2025 Robert J. Menges Award. His work was featured in Times Higher Education, and UC San Diego Today called him “The Teaching Transformer.”

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Virtual Option Added! Due to extensive interest in the UCLA Teaching Symposium, a virtual option is now available for the keynote address and faculty panel discussion. The afternoon sessions will only be available to in-person attendees. Please register to attend by June 5. All members of the UCLA community are welcome to join the symposium’s virtual sessions. For questions or additional information, contact help@teaching.ucla.edu. The UCLA Teaching and Learning Center’s inaugural symposium will provide a forum for dialogue on the impact of emerging technologies. Presenters and participants will thoughtfully address AI’s evolving role in teaching and learning from a variety of perspectives, and live demonstrations will showcase various tools for responsibly integrating AI into courses. The symposium will include: Keynote Address by Terence Tao Terence Tao, professor and the James and Carol Collins Chair in the UCLA College of Letters and Sciences, will examine the implications of AI in higher education. Learn more about the keynote speaker. Panel Discussion A group of faculty experts will illuminate the implications of AI’s presence in higher education. Concurrent Sessions Flash talks and roundtables will showcase examples of how instructors have developed and integrated AI tools. Technology Exposition and Social Hour Hands-on demonstrations to explore AI tools for teaching and learning.

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