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Anil Harun Kiliç; Serkan Izmirli – Asian Journal of Distance Education, 2024
This study conducted a systematic literature review of articles on learning analytics published between 2004 and January 2024. A total of 1,064 articles, identified using the keyword "learning analytic*" in the Scopus database, were analyzed. The study integrated systematic literature review and bibliometric analysis approaches to…
Descriptors: Literature Reviews, Learning Analytics, Foreign Countries, Data Use
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Lenhart, Cindy; Bouwma-Gearhart, Jana – Education Sciences, 2021
This paper explores the affordances and constraints of STEM faculty members' instructional data-use practices and how they engage students (or not) in reflection around their own learning data. We found faculty used a wide variety of instructional data-use practices. We also found several constraints that influenced their instructional data-use…
Descriptors: STEM Education, Data Use, Reflection, College Faculty
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Admiraal, Wilfried; Vermeulen, Jordi; Bulterman-Bos, Jacquelien – Technology, Pedagogy and Education, 2020
Computer-based assessments can provide students with feedback to guide their learning as well as inform teachers who extract information to prepare their teaching. Five secondary school teachers were monitored during one school year to answer the following research questions: (1) What kind of student data do teachers use for their teaching…
Descriptors: Learning Analytics, Computer Assisted Testing, Data Use, Formative Evaluation
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Hershkovitz, Arnon – Technology, Instruction, Cognition and Learning, 2015
Data-driven instruction is still a huge scope and has many shades. One promising way of adding learning analytics to traditional teaching is to offer teachers accessible, data-driven information, either in a dashboard style or with a UI with which they could perform their own analysis on student data (e.g., Ben-Naim, Bain, & Marcus, 2009;…
Descriptors: Data Use, Learning Analytics, Computer Interfaces, Reflection