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  • 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.

  • Teaching system-level thinking with an interdisciplinary lens

    Fawwaz Habbal, Executive Dean for Education and Research and Senior Lecturer on Applied Physics, and Doris Sommer, Ira Jewell Williams, Jr. Professor of Romance Languages and Literatures and of African and African American Studies, co-teach systems-level thinking. Their course, Aesthetic Pleasure and Smart Design: Janus Faces the Future, trains students to look at complex problems from the perspective of both artists and engineers. This requires the development of skills in scientific assessment and disinterested aesthetic judgment. In the spirit of Renaissance Now, an international movement to promote sustainable development, Habbal and Sommer model the combination of boldness and humility. Students in ES 27 read and reflect on material which ranges from aesthetic philosophy and history to triggers for scientific revolution. Then they tackle a complex problem through a proposal that will gain aesthetic acceptance and be scientifically effective.

  • Encouraging learning by creating alongside diverse feedback

    Paul B. Bottino, Co-Founder, Executive Director, and Lecturer at the Technology & Entrepreneurship Center at Harvard, offers Start-up R&D to undergraduate students across disciplines who are interested in the field and have a particular project idea in mind. Within the workshop course structure, “each student project is the educational centerpiece.” Student groups work on a variety of innovative startup projects seeking solutions to problems they care about. The course uses multiple approaches to help students build upon their ideas and receive constructive feedback: “challenge sessions” where students outline their biggest obstacles to a small group of peers; individual meetings with Bottino and teaching fellows; and connections with alumni. “It’s like a Greek forum of peers, near-peers, and mentors” with students learning that “entrepreneurship is a creative and iterative research practice of idea formulation, experimentation, and feedback.” At the end of term, students present and receive feedback on projects at a public event “Demo Day.”

  • Syllabus Explorer

    Harvard Syllabus Explorer is a web application developed by the Office of the Vice Provost for Advances in Learning - Research Group. Syllabus Explorer combines registrarial data and syllabi from Canvas to give users the ability to search for and download syllabi across Harvard.

  • Flipping the classroom for deeper student engagement and feedback on learning

    L Mahadevan, Lola England de Valpine Professor of Applied Mathematics in SEAS, and Professor of Organismic and Evolutionary Biology, and of Physics in FAS used a 2017-2018 SEAS Learning Incubator LInc Faculty Fellowship to emphasize active learning in his Mathematical Modeling course. He implemented a flipped classroom approach to enable students to come to class with problems and questions to collaborate on, time to develop their own problems from scratch, and work on modeling with peers. The foundational arc supporting this process has students move from observations through abstraction, analysis and communication, and iteration.

  • Applying human-centered design processes to build successful teams

    Bethanne Altringer, Senior Preceptor in Innovation and Design and Director of the Desirability Lab, uses personalized approaches to students’ learning in courses like The Innovator's Practice: Finding, Building and Leading Good Ideas with Others and Design Survivor: Experiential Lessons in Designing for Desirability, focusing on individual-level growth that leads to team effectiveness by grading both process and product.

  • Meet

    Meet is a crowdsourced platform for job-seekers to share and access trusted and relevant information about employers in their local area.

  • Simple examples lead to deep engagement

    Three years ago, Scot T. Martin decided to “start from scratch” with his approach to teaching thermodynamics. He found that by focusing on every day, concrete examples (e.g., running, the function of the heart) he could help students rediscover and truly understand the fundamental laws.

  • Real problems: Teaching theory through practice

    Jelani Nelson, Assistant Professor of Computer Science, assigns students real programming problems in his introductory algorithm courses, CS124Data Structures and Algorithms and CS125 Algorithms & Complexity.

  • The hiccups, humility, and benefits of deciding to flip a course

    Margo Seltzer, Herchel Smith Professor of Computer Science, flipped part of her course, CS161, “Operating Systems."

  • Project Nights and open-ended design research

    Awardees will measure the effects of open-ended extracurricular projects on student learning.

  • Teaching rewriting

    Awardees explored the potential impact of a writing instruction method that emphasizes the editorial and revision process, which has the potential advantages of scalability and skill transferability.

  • Capture50: A tool to facilitate peer review and assessment

    Awardees will provide a low-cost tool that automatically captures video of instructors, facilitating more robust peer review and frequent opportunity for pedagogical assessment.

  • Transforming education through computer vision analysis and automated assessment

    Awardees plan to develop tools for automatically analyzing student behavior, promoting richer interactions between students and teachers, and optimizing peer instruction in large lecture classes.

  • WSI/ELP water policy learning project

    Awardees plan to involve students in a multi-disciplinary, collaborative project on water policy in an effort to use experiential and team-based learning to teach students vital professional skills.
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