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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
Kosmas, Panagiotis; Ioannou, Andri; Retalis, Symeon – TechTrends: Linking Research and Practice to Improve Learning, 2018
From an embodied learning perspective, the active human body can alter the function of the brain and therefore, the cognitive process. In this work, children's activity using motion-based technology is framed as an example of embodied learning. The present investigation focuses on the use of a series of Kinect-based educational games by 31…
Descriptors: Special Education, Teaching Methods, Educational Games, Manipulative Materials
White, Tobin; Martin, Lee – TechTrends: Linking Research and Practice to Improve Learning, 2014
This paper argues for an approach to mobile learning that leverages students' informal digital practices as resources for designing mathematics classrooms activities. We briefly describe two exploratory designs along these lines, one featuring the use of photos taken by students outside class and the other centered on their recording and…
Descriptors: Mathematics Instruction, Educational Technology, Photography, Video Technology