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Your search keyword '"Hwang, Wu‐Yuin"' showing total 7 results
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7 results on '"Hwang, Wu‐Yuin"'

6. Investigation of the influences of instructors and different media on learning attention with a wearable eye‐tracking system in the physical classrooms.

Author

Pham, Thao, Hwang, Wu‐Yuin, and Pham, Xuan‐Lam

Abstract

Background Objectives Methods Results and Conclusions Takeaways Examining student attention in physical classrooms is crucial, but it faces challenges due to the lack of accurate monitoring. Constraints posed by device limitations and the design of educational materials impede the integration of eye‐tracking technology in these settings.This study aims to (1) develop a wearable eye‐tracking system specifically designed to monitor students' eye movements and gaze points on the projector screen within a physical classroom setting; (2) explore the impact of instructor gestures (by compare live instruction by an instructor and video‐recorded instruction) on student attention and examine the effectiveness of directing students' attention from text to image through instructor intervention.An innovative wearable eye‐tracking system was developed to monitor learners' eye movements within the physical classroom. Twenty‐five students participated in the experiment, which included two approaches: classroom lectured by the instructor and by a video presentation.The results indicate that participants exhibit a stronger inclination to allocate additional time to text content than image content when receiving instruction through video presentations with a laser pointer in the physical classroom. This tendency can be attributed to the participants' requirement for longer reading and comprehension time in the absence of an instructor. Additionally, the instructor's gestures and body movements significantly impacted participants' fixation on text slides compared to the image slides. The heatmap analyses support these findings and further indicate that participants focus on the instructor's face rather than other body parts.The wearable eye‐tracking technology developed in this study holds promise for future educational research, offering further exploration and analysis opportunities. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Effects of a peer tutor recommender system (PTRS) with machine learning and automated assessment on vocational high school students' computer application operating skills

Author

Ma, Zhao-Heng, Hwang, Wu-Yuin, and Shih, Timothy K.

Abstract

Many information technology courses frequently use the learning by doing strategy in vocational high schools. Particularly, learning computer application operating skills is essential for students because excellent computer application operating skills can help them attain good jobs. However, when fostering students’ computer application operating skills by teaching in vocational high school using the learning by doing strategy, a teacher learns that helping all students, evaluating their learning problems, and providing feedback to correct their mistakes are challenging. After investigating the challenge, a machine-learning-based peer tutor recommender system (MPTRS) with automated assessment was proposed to enhance students’ learning performance in computer application operating skills. The advanced automated assessment system (AAS) used computer vision technology to evaluate student assignments and instantly return feedback. The recommendation mechanism of the MPTRS enhanced mutual help among students based on their social relationships, learning performance, and recommendation feedback. Furthermore, machine-learning techniques were used to improve recommendations. In the experiment, the experimental group used the proposed system, and the control group used a conventional commercial automated grading system. From the experimental results, the learning performance of the experimental group significantly improved between the pretest and post-test. Students can correct and complete more assignments using the advanced AAS and students who behind in learning also can use the peer tutor recommender function for asking help. Participants were also satisfied with the proposed advanced AAS and MPTRS. It is worth to promote the proposed system to teachers of adopting the learning-by-doing strategy in computer application classes.

Published
2024
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