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Sun Kyung Kim; Youngho Lee; Hye Ri Hwang; Oe Nam Kim – Journal of Computer Assisted Learning, 2025
Background: Comprehensive assessment of skills and performance are necessary to improve the quality of care in nursing education. Various factors pose challenges to accurate assessments, including high student-teacher ratio and observer bias. Objectives: To establish an assessment system based on first-person video of smart glasses and validate…
Descriptors: Handheld Devices, Technology, Video Technology, Evaluation Methods
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Hai-Jie Wang; Kai Chen; Youmei Wang; Chen-Chen Liu – Journal of Computer Assisted Learning, 2025
Background: Vocal music is a multifaceted subject, as students not only need to master skills but also to appreciate and critically interpret the singing process. Conventional vocal music learning methods emphasise practice and feedback, but deeper learning often stems from reflective assessment, especially when students adopt the perspective of…
Descriptors: Music Education, Teaching Methods, Singing, Music Appreciation