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Wu, Ting-Ting; Lee, Hsin-Yu; Li, Pin-Hui; Huang, Chia-Nan; Huang, Yueh-Min – Journal of Educational Computing Research, 2024
This study combines ChatGPT, Apple's Shortcuts, and LINE to create the ChatGPT-based Intelligent Learning Aid (CILA), aiming to enhance self-regulation progress and knowledge construction in blended learning. CILA offers real-time, convergent information to learners' inquiries, as opposed to traditional Google search engine that provide divergent…
Descriptors: Independent Study, Learning Processes, Blended Learning, Artificial Intelligence
Wu, Chih-Hung; Huang, Yueh-Min; Hwang, Jan-Pan – British Journal of Educational Technology, 2016
Affect can significantly influence education/learning. Thus, understanding a learner's affect throughout the learning process is crucial for understanding motivation. In conventional education/learning research, learner motivation can be known through postevent self-reported questionnaires. With the advance of affective computing technology,…
Descriptors: Computer Uses in Education, Educational Trends, Affective Behavior, Learning Motivation
Liu, Chia-Ju; Huang, Chin-Fei; Liu, Ming-Chi; Chien, Yu-Cheng; Lai, Chia-Hung; Huang, Yueh-Min – Educational Technology & Society, 2015
Computerized self-assessment testing can help learners reflect on learning content and can also promote their motivation toward learning. However, a positive affective state is the key to achieving these learning goals. This study aims to examine learning gains and emotional reactions resulting from receiving emotional feedback in the form of…
Descriptors: Gender Differences, Feedback (Response), Diagnostic Tests, Hypothesis Testing

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