Carnegie Mellon University is seeking an enthusiastic individual with a keen interest in exploring the role of technology in educational settings for the PLUS - Personalized Learning Squared project. This project aims to double the rate of math learning in middle school students, particularly those historically underserved, through a hybrid tutoring platform combining human and AI tutoring. The work intersects with Artificial Intelligence, Learning Sciences, and Human-Computer Interaction. The Research Associate will play a crucial role in advancing research by contributing to the improvement of tools designed to enhance the effectiveness of tutors in aiding students during their learning sessions. This position offers the unique opportunity to collaborate with and learn from experts at CMU and Stanford, contributing to the goal of providing equal educational opportunities to students from varied socio-economic backgrounds. The ideal candidate will be naturally inquisitive and capable of independently identifying and pursuing research questions, with an emphasis on deriving meaningful insights and contributions.
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Job Type
Part-time
Career Level
Entry Level
Number of Employees
501-1,000 employees