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SeHee Jung; Hanwen Wang; Bingyi Su; Lu Lu; Liwei Qing; Xiaolei Fang; Xu Xu – TechTrends: Linking Research and Practice to Improve Learning, 2025
This study presents a mobile application (app) that facilitates undergraduate students to learn data science using their own full-body motion data. The app captures a user's movements through the built-in camera of a mobile device and processes the images for data generation using BlazePose, an open-source computer vision model for real-time pose…
Descriptors: Undergraduate Students, Data Science, Handheld Devices, Open Source Technology
Jiyeon Park; Min Wook Ok – TechTrends: Linking Research and Practice to Improve Learning, 2024
Technology is recognized as a valuable learning tool, but research indicates that students are also distracted by the use of technology in class. Since college students constantly rely on their devices for learning, it has become imperative for instructors to find effective ways of integrating technology into their lessons while reducing digital…
Descriptors: Undergraduate Students, Handheld Devices, Student Behavior, Classroom Techniques