This informal discussion and networking series is for MIT staff who are interested in keeping the conversation going in between Data Talks workshops, with the intention of building our community. Join us for this 30-minute informal breakout session, centering on the advantages and challenges of working with data (from home) since the onset of Covid-19. The […]
Over the past 20 years, multiple stakeholders have identified and recommended improvements for first-year advising at MIT. More recently, students who participated in the Designing the First Year Experience undergraduate class in the spring of 2018 identified advising as a key priority. In response, the Teaching + Learning Lab (TLL), the Office of the Vice Chancellor […]
Student learning and well-being are supported by the presence of a cohesive classroom community, both in face-to-face learning as well as remote learning. On Nov 19, 2020, Open Learning and TLL cohosted this xTalk panel discussion, in which MIT instructors Simona Socrate, Ari Epstein, and Kang Zhou share how they have built and maintained community while teaching in […]
The Teaching + Learning Lab and Open Learning are cohosting an IAP panel discussion for faculty and instructors on innovative assessments and assignments for remote subjects. Panelists will discuss a spectrum of assessment and assignment options and share their unique approaches and decision-making processes. We will have an opportunity to reflect together as panelists consider […]
College campuses across the country are struggling to respond to the significant social, emotional, and economic burdens carried by our students. With the dual challenge of navigating ongoing remote learning while also envisioning how we come back together in person, the work of caring for ourselves and one another is more important than ever. Well-Being […]
This talk will be presented by Elli Theobald, Assistant Teaching Professor in the Department of Biology at the University of Washington. Her recent work demonstrates that opportunity gaps—differential performance between minoritized students (BIPOC students as well as low-income students) and over-represented students—were reduced by 75% in college STEM courses when instructors incorporated active learning strategies, but only when active learning was implemented in a majority of class time.