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Levy, Ben; Hershkovitz, Arnon; Tabach, Michal; Cohen, Anat; Segal, Avi; Gal, Kobi – IEEE Transactions on Learning Technologies, 2023
This report describes a randomized controlled study that compared the personalization of educational content based on neural networks to personalization by human experts. The study was conducted in a graphically rich online learning environment for elementary school mathematics, in which N = 135 fourth- and sixth-grade students learn via…
Descriptors: Online Courses, Elementary School Students, Grade 4, Grade 6
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Lee, Victor R.; Drake, Joel R.; Thayne, Jeffrey L. – IEEE Transactions on Learning Technologies, 2016
Wearable activity tracking devices associated with the Quantified Self movement have potential benefit for educational settings because they produce authentic and granular data about activities and experiences already familiar to youth. This article explores how that potential could be realized through explicit acknowledgment of and response to…
Descriptors: Elementary School Students, Physical Activities, Measurement Equipment, Grade 5
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Muñoz-Cristóbal, Juan A.; Jorrín-Abellán, Iván M.; Asensio-Pérez, Juan I.; Martínez-Monés, Alejandra; Prieto, Luis P.; Dimitriadis, Yannis – IEEE Transactions on Learning Technologies, 2015
During the last decades, educational contexts have transformed into complex technological and social ecologies, with mobile devices expanding the scope of education beyond the traditional classroom, creating so-called Ubiquitous Learning Environments (ULEs). However, these new technological opportunities entail an additional burden for teachers,…
Descriptors: Educational Technology, Technology Uses in Education, Elementary Education, Elementary School Teachers