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  • GenAI in Teaching & Learning Session 3

    The Harvard Initiative for Learning and Teaching (HILT) is hosting a Generative Artificial Intelligence (GenAI) in Teaching and Learning Affinity Group for Harvard affiliates who are seeking to attend small, regular meetings for sharing resources, success, and challenges around the integration of GenAI into teaching and learning. Our third meeting will take place on Monday, August 5 […]

  • PILOT: GenAI in Teaching & Learning Session 2

    The Harvard Initiative for Learning and Teaching (HILT) will pilot a Generative Artificial Intelligence (GenAI) in Teaching and Learning Affinity Group for Harvard affiliates who are seeking to attend small, regular meetings for sharing resources, success, and challenges around the integration of GenAI into teaching and learning. We will host two virtual sessions this summer […]

  • PILOT: GenAI in Teaching & Learning Session 1

    The Harvard Initiative for Learning and Teaching (HILT) will pilot a Generative Artificial Intelligence (GenAI) in Teaching and Learning Affinity Group for Harvard affiliates who are seeking to attend small, regular meetings for sharing resources, success, and challenges around the integration of GenAI into teaching and learning. We will host two virtual sessions this summer […]

  • Lessons Learned from HGSE’s One-Year Online Learning Fellows Initiative

    Hosted by the HILT Learning Design Affinity Group, co-chairs: Karina Lin-Murphy, Neil Patch, Gabe Abrams Monday, May 20th, 12:00pm to 1:00pm ET Online via Zoom (recorded) | Register via this link to receive the Zoom login Looking to enhance your school’s online learning services? This interactive panel session introduces a novel course design support model […]

  • Custom Course Bots & Learning Analytics

    Join The Learning Data & Analytics Affinity Group for their next online event: Custom Course Bots & Learning Analytics Tuesday, April 30, 12:00pm – 1:00pm Online Zoom event: Register here! Many courses are beginning to offer custom genAI bots in the course site. We’ll convene for an open discussion guided by these questions: (a) When […]

  • Spring 2024 Harvard i-lab & HILT Faculty Seminar

    Spring 2024 Harvard i-lab & HILT Faculty Seminar: Project-based Learning / Learning-by-doing   The Harvard Innovation Labs (i-Labs) and the Harvard Initiative for Learning & Teaching (HILT) would like to invite all Harvard faculty to a seminar on Wednesday, April 10th from 3-4:30 pm at the i-Labs. Our goal is to convene instructors from across […]

  • 2023 HILT Conference

    The 2023 HILT Conference comes at a pivotal time when artificial intelligence (AI) is becoming increasingly discussed and experimented with in higher education. AI holds immense potential to enhance personalized learning experiences, automate administrative tasks, and provide data-driven insights to improve educational outcomes. However, its deployment also raises important questions and challenges. It is crucial to address concerns related to privacy, bias, transparency, disinformation, and the impact on human agency and social dynamics within educational settings. Together, we will explore how AI can be designed, implemented, and governed in a way that prioritizes human relationships and connection in education. By considering the ethical and social implications, as well as the affordances, we aim to shape a future where generative AI tools are used to empower learners, support educators, foster inclusivity, and promote a holistic approach to education.

  • Building virtual community in a foundational class

    Much like all our faculty across the University, Dr. Tamara Kaplan, Assistant Professor at Harvard Medical School, shifted the pre-clinical neuroscience course, Mind, Brain, and Behavior, to a remote learning space this past year. In addition to considering curricular materials, Dr. Kaplan and her team agreed that it was especially important to think about the learning environment and students’ social connection with the material, the teaching faculty, and other students. As a result, they developed several systems to foster this social sense of community and “combat the sense of isolation and disconnectedness that can result from online learning” in her class. All course instructors recorded three-minute introductory videos about both their career/research and personal interests. Dr. Kaplan used Canvas to send students daily announcements with learning objectives, key points that came up that day in class, and friendly support. A balance of synchronous and asynchronous communication was used to minimize student burnout and make sure students stayed engaged. Finally, the team built in time for genuine connection with daily half-hour breaks between classes for students to get to know faculty and ask questions. Dr. Kaplan notes, “we realized that creating relationships with faculty is a huge driver of a positive learning environment.”

  • The importance of incorporating mentorship into your teaching practice

    Dr. Anita Vanka, Assistant Professor of Medicine and Associate Advisor & Director of Hinton Society at Harvard Medical School, co-directs Practice of Medicine with Dr. Katherine Johnston, Assistant Professor of Medicine. The eleven-month course involves several hundred faculty members at different teaching hospitals and is designed to teach first-year medical and dental students how to effectively interview and communicate with patients, perform a thorough physical exam, reason through diagnostic possibilities, and translate findings effectively in both oral and written form. Given the size and breadth of the course, Drs. Vanka and Johnston developed a mentoring system which allows for each student to meet with an assigned faculty advisor at their hospital site several times a year. These meetings encourage faculty to develop personal relationships with the students, oversee their clinical progress, provide feedback, and guide students into setting goals for their learning and progress.

  • Bridging practice and theory in the professional classroom

    Dr. Richard Schwartzstein, Ellen and Melvin Gordon Professor of Medicine and Medical Education, is revolutionizing textbook-dependent classrooms by incorporating real-life applications. In this case, first-year Harvard Medical School students apply their reading through case simulations. A robot functions as the patient, and a small group of students take on various roles to work together and treat the patient. Students are supported by a facilitator, who offers guiding questions but no direct answers, as well as the rest of the class, who serve as consultants or in other supporting roles in the case, like the patient’s family. “Instead of a paper case, now it feels much more real. And suddenly, they’re immersed in taking care of a patient,” Dr. Schwartzstein reflects. After a simulation ends, the whole class debriefs the case, including what students struggled with and how they felt during the exercise.
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