Impacts of an AI-based chabot on college students’ after-class review, academic performance, self-efficacy, learning attitude, and motivation

• Published in: Educational technology research and development Vol. 70; no. 5; pp. 1843 - 1865
• Main Authors: Lee, Yen-Fen, Hwang, Gwo-Jen, Chen, Pei-Ying
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.10.2022; Springer; Springer Nature B.V
• Subjects: Academic achievement; Artificial intelligence; College students; Computational linguistics; Control Groups; Development Article; Diagnostic Teaching; Education; Educational evaluation; Educational Technology; Experimental Groups; Language processing; Learning; Learning and Instruction; Learning Motivation; Learning Problems; Learning Processes; Methods; Natural language interfaces; Self Efficacy; Student attitudes; Student Motivation; Chatbot; After-class review; Mobile application; Artificial intelligence; Public health courses

Review strategies after learning new knowledge are essential for students to consolidate the key points, understand the subject content, analyze aspects of the learning topics, and summarize the knowledge content of learning while mastering new knowledge. However, educators have found that students...