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

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...

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Bibliographic Details
Published in:Educational technology research and development 2022-10, Vol.70 (5), p.1843-1865
Main Authors: Lee, Yen-Fen, Hwang, Gwo-Jen, Chen, Pei-Ying
Format: Article
Language:English
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
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