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AI-Augmented Peer-Led Team Learning for STEM Education

Friday, November 4, 2022

3:15 PM – 3:45 PM

Location: Potomac I&II

Presenter(s)

Karen DSouza

PhD Student
Indiana University–Purdue University Indianapolis (IUPUI), United States

Co-Presenter(s)

SM

Snehasis Mukhopadhyay

Professor
Indiana University–Purdue University Indianapolis (IUPUI), Indiana, United States
Pratibha Varma-Nelson

Professor of Chemistry, Founding Executive Director SEIRI
Indiana University–Purdue University Indianapolis (IUPUI)
INDIANAPOLIS, Indiana, United States
SF

Shiaofen Fang

Professor
Indiana University–Purdue University Indianapolis (IUPUI), United States
LZ

Lin Zhu

Professor
Indiana University–Purdue University Indianapolis (IUPUI), United States

Program Abstract: The goal of the research project is to build an AI tool that allows the professor to assess a good cyber peer-led team learning (cPLTL) session. The instructor is typically not present in a PLTL workshop and relies on feedback from peer leaders or students about the session. A good cPLTL session is defined by factors such as effective learning, good communication between the students, equal participation, and equal speaking time between peers. An AI tool can provide information about effective learning in a real-time setting to support professors. This saves their time by providing relevant knowledge about whether students can tackle the weekly chemistry class and problem solve successfully. The data provide three aspects of analysis—lexical, audio, and video—that will build an AI agent to predict a good session. Once deployed, the research solution will reduce the instructor’s manual workload involved in implementing learning pedagogies.