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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
Carly Oddleifson; Ishan N. Vengurlekar; Chloe Hendrix; Temma Levis; Ellen Anderson; Katie Eklund; Stephen Kilgus – School Mental Health, 2025
Schools have become a primary context for assessing and addressing social, emotional, and behavioral difficulties in response to the youth mental health crisis. However, traditional paper-based assessments are often hindered by time constraints and rater bias, limiting their effectiveness for early identification and intervention.…
Descriptors: Technology Uses in Education, Assistive Technology, Computer Simulation, Motion
Jaana Juutinen; Sara Margrét Ólafsdóttir; Johanna Einarsdóttir – Scandinavian Journal of Educational Research, 2024
This study explores how children construct their belonging in culturally diverse early childhood settings in Finland and Iceland. Belonging is understood as a holistic phenomenon that is constructed through various relations. The study is a multiple-case study, influenced by ethnographic approaches, conducted with children in two preschool…
Descriptors: Foreign Countries, Early Childhood Education, Multicultural Education, Student Diversity