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Analyzing Learning in Digital and Online Settings


Term:

Summer

Department:

CMS: Comparative Media Studies

Faculty Supervisor:

Justin Reich

Faculty email:

jreich@mit.edu

Apply by:

May 15

Contact:

Please send a resume and cover letter describing why you are interested to Dr.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 data and updating data science workflows 2) Using statistical and machine learning models to analyze data from large-scale implementations of online learning experiences 3) Conducting literature reviews on relevant topics 4) Coding data using a rubric 5) 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.