August 2, 2019

Suggesting New Teaching Strategies by Recommender Systems

By Zachary Elmassian

Division of Applied Undergraduate Studies (DAUS) Adjunct Professor of Mathematics and Statistics, Olivia Mendivil Ramos, was awarded a 2019 SPS Innovations in Teaching and Learning grant to examine the use of machine-learning techniques to improve the teaching of STEM-related subjects.


As Dr. Mendivil Ramos explains, “The project aims to improve the effectiveness and, ultimately, the scalability in teaching STEM-related subjects by using the types of algorithms used by Amazon or Spotify.” At the beginning of the semester, a faculty member must decide how to strategize their approach to teaching the content of a STEM-related subject. The outcome of this project is to create a tool that helps instructors navigate a teaching strategy for the semester with the aid of an automated resource. 


The SPS Innovations in Teaching and Learning grant is administered by the NYUSPS Center for Academic Excellence and Support and aims to empower faculty to create inventive curricular and teaching design initiatives that challenge conventional classroom boundaries and engage students in rich and meaningful learning experiences.

Related Articles