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AI-Enhanced Student Learning Outcomes
Wed, April 8, 3:45 to 5:15pm PDT (3:45 to 5:15pm PDT), Westin Bonaventure, Floor: Lobby Level, San Gabriel BSession Type: Paper Session
Abstract
This session focuses on how AI tools and systems influence student learning outcomes
Sub Unit
Chair
Papers
A Meta-Review of AI-Powered Chatbots and Their Impact on Learning Outcomes - Secil Caskurlu, Florida State University; Huan Kuang, Florida State University; Seungjie Clarice Han, Florida State University
Effect of Generative AI on Undergraduates’ Learning Outcomes: A Systematic Review and Meta-Analysis - Shuzhen Chen, Chinese University of Hong Kong
The effects of human-technology interaction on engineering students’ learning outcomes: A multilevel meta-analysis - YING LIANG, 浙江大学; Yan Li, Zhejiang University
The impact of teacher presence on student engagement with artificial intelligence chatbots in language learning - Yan LI, The Education University of Hong Kong; Yuanyuan WU, Jiangsu University; Thomas K.F. Chiu, The Chinese University of Hong Kong
Enhancing Student Learning through Generative AI: A Five-Year Systematic Review of Higher Education Research - Ayesha Sadaf, University of North Carolina - Charlotte; Katherine Jiawen Ren, University of North Carolina - Charlotte; Judson Macdonald, University of North Carolina at Charlotte; Delandrus Lenet Ieashea Seales, University of North Carolina - Charlotte; Ji Yae Bong, University of North Carolina - Charlotte