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Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
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Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
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Kratzke, Cynthia; Cox, Carolyn – International Electronic Journal of Health Education, 2012
Despite the increased availability of smartphones and health applications (apps), little is known about smartphone technology and apps for implementation in health promotion practice. Smartphones are mobile devices with capabilities for e-mail, text messaging, video viewing, and wireless Internet access. It is essential for health promotion…
Descriptors: Evidence, Health Promotion, Health Behavior, Behavior Modification