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To get notified about upcoming events hosted by the Curriculum Fellows Program, send a blank email to: curriculum_fellows-subscribe-request@listserv.med.harvard.edu
- Please note: Curriculum Fellows events are internal to the Harvard community. To be approved, please subscribe using a Harvard or Harvard-affiliated email address.
Spring 2026 Event Registration
Teaching & Learning Journal Club (February)
Register: REGISTER HERE
Paper: Assessment of Short Answer Questions by ChatGPT in a Medical School Course
Date: Tuesday, February 10, 2026
Time: 11:30 AM – 12:30 PM
Location: Zoom
Presenter: Grey Kuling, Department of Biomedical Informatics
Curriculum Fellow
Teaching & Learning Journal Club (March)
Registration Required: REGISTER HERE
Date: Tuesday, March 10, 2026
Time: 11:30 AM – 12:30 PM
Location: Zoom
Presenters: Tari Tan, HMS Assistant Dean for Educational Innovation and Scholarship
Lecturer and Krisztina Fischer, Faculty Director of Master of Medical Sciences in Medical Education Program
Workshop: AI in Action: Empowering Ethical Engagement and Learning at HMS
Registration Required: REGISTER HERE
Date: Tuesday, March 24, 2026
Time: 11:30 AM – 12:30 PM
Location: Zoom
Presenter: Esther Brandon Kotecha, Associate Director for Teaching and Learning Technologies
Overview:
This interactive workshop is designed for those eager to explore the transformative potential of AI at Harvard Medical School. Through discussions and practical activities, participants will learn how to guide students in leveraging AI tools responsibly and effectively, enhancing engagement and fostering a culture of academic integrity. Together, we will examine AI's possibilities and challenges, equipping educators with strategies to incorporate AI meaningfully into teaching and learning.
Session Outcomes:
Upon successful completion of this workshop, participants will be able to:
Develop foundational knowledge of generative AI technologies and their capabilities in educational contexts.
Examine ethical considerations and challenges associated with integrating AI into coursework.
Design practical approaches for AI into teaching practices to enhance student engagement and learning while upholding academic integrity.
Networking Event: Careers in Education & Learning
Registration Required: REGISTER HERE
This event is limited HMS graduate students & postdocs only.
Date: Thursday, April 16, 2026
Time: 3:30 PM – 5:00 PM
Location: Vanderbilt 101 Joseph B Martin Student Lounge
Vanderbilt Hall
107 Avenue Louis Pasteur Boston, MA 02115
About:
Meet professionals working in higher education, teaching, instructional design, and academic program leadership—primarily in the Boston area. Our networkers represent a range of career paths across universities and educational organizations, including teaching faculty, instructional developers, and program leaders who support learning and education initiatives. During this speed-networking event, participants will have the opportunity to speak with each professional one-on-one, rotating through short conversations to learn about their career paths, roles, and advice for pursuing careers in education and learning.
Our Career Professionals:
- Peter Myers, Associate Director, Postdoctoral Education and Partnerships Office of Postdoctoral Affairs, Washington University in St. Louis
- Caitlyn Finton, Instructional Content Developer, Harvard Office of the Vice Provost for Advances in Learning
- Christopher Magnano, Assistant Teaching Professor Computer Science, Tufts University School of Engineering, Computer Science
- Michaelyn Hartmann, Lecturer; Director, Postdoctoral Associate Teaching Scholars Program, Biology Dept. at Boston University
- Jessican Boccanegra, Sr. Instructional Strategies Specialist, Emmanuel College
- Ryan Lee, Director, Premedical Program, Harvard Extension School
Workshop | Curriculum in Motion: Confident Curriculum Redesign for the Next Wave of Tech
Registration Required: REGISTER HERE
Date: Tuesday, April 21, 2026
Time: 11:30 AM – 12:30 PM
Location: Hybrid – Zoom & In-Person (register to receive link and room details)
Presenter: Grey Kuling, Curriculum Fellow for Artificial Intelligence/Machine Learning at Harvard Medical School
Overview: A fast, hands-on workshop for instructors and course teams navigating AI and other emerging teaching tools. Learn a practical method to decide what to adopt now vs. defer, redesign one syllabus element (assessment, activity, or policy), and leave with a one-page implementation plan plus ready-to-use syllabus language for acceptable tool use and academic integrity.
