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S. Asha; V. P. Joshith – Journal of Educational Technology Systems, 2025
Learning analytics (LA) has become a critical field for transforming educational practices through data-driven insights. This study presents a comprehensive bibliometric analysis of LA research in higher education from 2013 to 2023, utilizing the Scientific Procedures and Rationales for Systematic Literature Review (SPAR-4-SLR) approach. By…
Descriptors: Bibliometrics, Learning Analytics, Educational Change, Educational Practices
Ida Martinez Lunde – Scandinavian Journal of Educational Research, 2024
Learning analytics platforms (LAPs) have become important modes of anticipatory governance in education. Educational futures are governed by utilizing various forms of learning analytics to track student data over time, suggesting that school leaders and teachers are expected to improve school quality by engaging with digital presentations of…
Descriptors: Learning Analytics, Time, Networks, Social Theories
Xieling Chen; Xinyue Li; Di Zou; Haoran Xie; Fu Lee Wang – Educational Technology Research and Development, 2025
Metacognition, which involves the deliberate awareness and analysis of one's own learning and thought processes, has gained significant traction among educational researchers. The burgeoning volume of metacognition studies underscores the importance of examining its current status and evolving trends. Leveraging topic modeling and bibliometrics on…
Descriptors: Metacognition, Bibliometrics, Research Reports, Periodicals
Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
Fangni Li – International Journal of Information and Communication Technology Education, 2025
Traditional assessment in international sports communication is often fragmented and subjective, limiting timely, learner-centered feedback. This study presents a curriculum framework enhanced by generative artificial intelligence, coupled with a deep learning (DL) model for instructional effectiveness assessment in international sports…
Descriptors: Artificial Intelligence, Technology Uses in Education, Curriculum Design, Athletics

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