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Vatsalan, Dinusha; Rakotoarivelo, Thierry; Bhaskar, Raghav; Tyler, Paul; Ladjal, Djazia – British Journal of Educational Technology, 2022
With Big Data revolution, the education sector is being reshaped. The current data-driven education system provides many opportunities to utilize the enormous amount of collected data about students' activities and performance for personalized education, adapting teaching methods, and decision making. On the other hand, such benefits come at a…
Descriptors: Privacy, Risk, Data, Markov Processes
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Niemelä, Marko; Kärkkäinen, Tommi; Äyrämö, Sami; Ronimus, Miia; Richardson, Ulla; Lyytinen, Heikki – British Journal of Educational Technology, 2020
Serious games are designed to improve learning instead of providing only entertainment. Serious games analytics can be used for understanding and enhancing the quality of learning with serious games. One challenge in developing the computerized support for learning is that learning of skills varies between players. Appropriate algorithms are…
Descriptors: Educational Games, Game Based Learning, Learning Analytics, Reading Skills
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Herodotou, Christothea; Hlosta, Martin; Boroowa, Avinash; Rienties, Bart; Zdrahal, Zdenek; Mangafa, Chrysoula – British Journal of Educational Technology, 2019
This study presents an advanced predictive learning analytics system, OU Analyse (OUA), and evidence from its evaluation with online teachers at a distance learning university. OUA is a predictive system that uses machine learning methods for the early identification of students at risk of not submitting (or failing) their next assignment.…
Descriptors: Learning Analytics, Teacher Empowerment, Distance Education, College Faculty