Leveraging computer vision for adaptive learning in STEM education: effect of engagement and self-efficacy

• Published in: International Journal of Educational Technology in Higher Education Vol. 20; no. 1; pp. 53 - 26
• Main Authors: Wu, Ting-Ting, Lee, Hsin-Yu, Wang, Wei-Sheng, Lin, Chia-Ju, Huang, Yueh-Min
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.12.2023; BioMed Central, Ltd; Springer Nature B.V; SpringerOpen
• Subjects: Adaptive learning; Artificial Intelligence; Computer Appl. in Social and Behavioral Sciences; Computer Assisted Instruction; Computer Science; Computer vision; Computers; Computers and Education; Educational Technology; Effectiveness; Engagement assessment; Higher Education; Humanities; ICAP framework; Identification; Information Systems Applications (incl.Internet); Instructional Materials; Interaction; Law; Learner Engagement; Learning; Learning Processes; Mathematics education; Problem Solving; Research Article; Science education; Self Efficacy; Statistics for Social Sciences; STEM Education; Student Evaluation; Technical education; Technology education; Adaptive learning; Computer vision; STEM education; Engagement assessment; Self-efficacy; ICAP framework

In the field of Science, Technology, Engineering, and Mathematics (STEM) education, which aims to cultivate problem-solving skills, accurately assessing learners' engagement remains a significant challenge. We present a solution to this issue with the Real-time Automated STEM Engagement Detecti...