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Data Science and Applied Statistics Education Workshop
Friday, January 25th | 10:00am—3:00pm in CGIS Belfer Case Study Room. Co-sponsored by the Harvard Data Science Initiative, the Institute for Quantitative Social Science, and the Senior Vice Provost for Faculty Development and Diversity, this event will focus on data science and applied statistics and bring together a select set of faculty, student teaching fellows, and staff to: Illuminate how these domains are taught and learned in various ways across Harvard; Demonstrate tools recently developed to support that pedagogical work; Share results of cross-University curriculum mapping efforts in these domains; Meet colleagues from other departments and schools who are teaching similar content -
Designing Your Course
Course design resources from the Derek Bok Center for Teaching and Learning, including 1) Backward Design, 2) Functions of the Syllabus, 3) Formative ("low-stakes") vs. Summative ("high-stakes") Assessments, 4) Assignment Modalities, 5) Framing and Sequencing Assignments, and 6) Grading and Responding to Student Work. -
The Science of Learning
Key concepts in learning sciences from the Derek Bok Center for Teaching and Learning, including 1) How Memory Works, 2) Comprehending and Communicating Knowledge, 3) Metacognition and Motivation, and 4) Promoting Engagement. -
Defining learning objectives: Pre-semester, all semester
José A. (Tony) Gómez-Ibáñez, Derek C. Bok Professor of Urban Planning and Public Policy, who holds appointments at the GSD and HKS, defines the learning objectives of his course prior to the start of the semester and references them to frame each individual class session: “I use the first five minutes to place each class in the course – ‘The last class we talked about X and today we want to see how those ideas might apply to Y.’” -
Communicating course culture: Building on the syllabus
Karen Brennan, Assistant Professor at the Harvard Graduate School of Education, designs her syllabus for T550: Designing for Learning by Creating to not only communicate the plan for the course, but to introduce students to the course culture. -
Teaching Decision-Making through Experiential Learning and Personalized Practice Across Disciplines
Awardees will study how decision-making is taught and assessed across disciplines and disseminate effective teaching methods. -
AskUp: Improving learning and metacognition through learner-generated questions
Awardees will continue development of AskUp, a free, open-source studying and learning app that leverages evidence-based techniques to enhance learning, and will evaluate the efficacy of the application’s improvement to metacognition, self-directed learning, and class performance through small randomized trials. -
Assessing learning outcomes from a novel formative assessment in a large enrollment graduate life science course
Awardees will evaluate whether delivering a chalk talk in response to an open-ended experimental design question is an effective method to drive improvements in the general practice and articulation of experimental design, as measured through responses to subsequent written experimental design questions. -
Teaching genomics across Harvard schools
Awardees will establish the “Harvard Genomics Teaching Group,” share pedagogical approaches, a dedicated platform for analysis, and document best practices. -
Badging education: Individualization, collaboration and innovation at the leading edge
Awardees plan to develop a social media and badging platform that allows students to share and collaboratively develop their core knowledge and competencies.
