AI-Augmented Summarization: Impact on Online Adult Learners’ Concept Learning, Discussion Quality, and Achievement

• In Event: DELT- Generative AI in Classrooms

Short Description

This study aims to investigate how an AI-augmented summarization tool called the Student Mental Model Analyzer for Research and Teaching (SMART) impacts concept learning, discussion quality, and the achievement of adult learners. Findings from 21 participants in an undergraduate-level English course indicated that using SMART helped learners build a solid understanding of the readings and achieve higher end-of-year final scores. The results suggest the potential of using AI-augmented summarization tools to enhance learning outcomes.

Authors

• Contributor: Jinho Kim, Georgia State University

• Contributor: Yoojin Bae, Georgia State University

• Contributor: Golnoush Haddadian, Georgia State University

• Contributor: Wesley Morris, Vanderbilt University

• Contributor: Scott Crossley, Vanderbilt University

• Contributor: Langdon Holmes, Vanderbilt University

• Contributor: Jonathan Stravelakis, Columbus Technical College

• Contributor: Min Kyu Kim, Georgia State University