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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 […]
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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 […]
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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 […]
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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 […]
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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 […]
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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 […]
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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. -
Team-based learning in a foundational course
Carrie Conaway, Senior Lecturer, and James Kim, Professor of Education, teach the Harvard Graduate School of Education’s new foundational course, Evidence. The course trains students to understand and apply a variety of evidence to a real-life problem of practice. In order to learn about different types of evidence and how to apply it to solve real-world problems, students work in small teams using team-based learning (TBL). Conaway and Kim use survey data to construct teams that are diverse in terms of background, program, and comfort with different types of evidence. Each group activity is centered around a different component of a case developed from Kim’s research. The activities culminate in final recommendations for how to improve literacy outcomes for Charlotte-Mecklenburg Schools in North Carolina. -
Learning from and giving back to the community through the classroom
Deborah Jewell-Sherman, Gregory R. Anrig Professor of Practice in Educational Leadership, helps students develop leadership skills and a deeper understanding of the work involved in being a systems-level leader. In her two-term course, The Workplace Lab for System-Level Leaders (WPL), students actively collaborate with school districts across the nation, including the local Cambridge, Lincoln and Boston public schools. Jewell-Sherman intentionally scaffolds the course from personal introspection to undertaking significant problems of practice for sitting superintendents and CEO’s of educational entities. Before students are assigned to teams that maximize diversity in leadership and communication styles, they deeply reflect to identify their core values. “In terms of practice,” she notes, “it’s important to know who you are and for what you stand.” Groups collaborate on simulations and analyze case studies based on real-world problems while leveraging recent research. Later, students work directly with community partners and present recommendations in a “New Haven” run before hosting an on-campus final “Broadway” run to a full audience. In January, Jewell-Sherman typically takes students on a four-day trip to a school district or educational entity in another state to collaborate on new projects. -
Science Bytes
Science Bytes Awardees: Ragini Lall (HGSE) and Aditi Kumar (MIT-Engineering) Summary: coming soon.
