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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
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Yao Huang; James D. Klein – TechTrends: Linking Research and Practice to Improve Learning, 2025
Mobile performance support systems (MPSS) are being adopted to support workplace performance across many industries and organizations as a non-formal learning solution. MPSS provides just-in-time access to assist workers in completing job tasks from anywhere with minimal help from others. A review of the literature suggests that empirical research…
Descriptors: Technology Uses in Education, Educational Technology, Information Technology, Telecommunications