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Analyzing Teacher Learning in Digital and Online Settings


Term:

Fall

Department:

CMS: Comparative Media Studies

Faculty Supervisor:

Justin Reich

Faculty email:

jreich@mit.edu

Apply by:

September 11

Contact:

Please send a resume and cover letter to Joshua Littenberg-Tobias (jltobias@mit.edu).

Project Description

Our multidisciplinary laboratory--the MIT Teaching Systems Lab (TSL)-- is comprised of engineers, learning designers, learning scientists, and social science researchers. We are looking for students with an interest in teaching, design-based research, data science, and learning analytics. The project focuses on study participant experiences in online courses, simulations, and interactive games. Possible student tasks include: 1. Cleaning and analyzing data and updating data science workflows 2. Using natural language processing models to analyze text data from large-scale implementations of online learning experiences 3. Conducting literature reviews on relevant topics 4. Coding data using a rubric 5. Assisting in the instructional design of teacher learning tools 6. Contributing to scholarly publications and conference presentations Students will work closely with TSL researchers familiar with the detailed goals of the project and will gain hands-on experience in educational research.

Pre-requisites

Previous experience working in educational settings and/or experience with social science research. Familiarity with R is preferred.