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Direct linkUtamachant, Piriya; Anutariya, Chutiporn; Pongnumkul, Suporn – Smart Learning Environments, 2023
Apart from good instructional design and delivery, effective intervention is another key to strengthen student academic performance. However, intervention has been recognized as a great challenge. Most instructors struggle to identify at-risk students, determine a proper intervention approach, trace and evaluate whether the intervention works.…
Descriptors: Intervention, Learning Analytics, Learning Management Systems, Programming
Saadati, Zohreh; Zeki, Canan Perkan; Barenji, Reza Vatankhah – Interactive Learning Environments, 2023
The study of online higher education learning and academic achievement has increasingly emphasized self-regulated learning (SRL). Few studies so far have investigated the blockchain-based learning management system (LMS) and adaptive SRL intervention in online higher education. This paper aimed to develop a blockchain-enabled LMS as a…
Descriptors: Graduate Students, Metacognition, Programming, Technology
Construction and Analysis of a Decision Tree-Based Predictive Model for Learning Intervention Advice
Download full textChenglong 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
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
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
Kommers, Piet, Ed.; Issa, Tomayess, Ed.; Isaías, Pedro, Ed.; Hui, Wendy, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers and poster of the 6th International Conference on Educational Technologies 2019 (ICEduTech 2019), which has been organised by the International Association for Development of the Information Society and co-organised by the Lingnan University, in Hong Kong, February 8-10, 2019. ICEduTech is the scientific…
Descriptors: Educational Technology, Elementary School Students, Reflection, Computer Mediated Communication
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers
