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Download full textDavies, Randall; Allen, Gove; Albrecht, Conan; Bakir, Nesrin; Ball, Nick – Education Sciences, 2021
Analyzing the learning analytics from a course provides insights that can impact instructional design decisions. This study used educational data mining techniques, specifically a longitudinal k-means cluster analysis, to identify the strategies students used when completing the online portion of an online flipped spreadsheet course. An analysis…
Descriptors: Data Analysis, Identification, Learning Strategies, Electronic Learning
Direct linkSointu, Erkko; Saqr, Mohammed; Valtonen, Teemu; Hallberg, Susanne; Väisänen, Sanna; Kankaanpää, Jenni; Tuominen, Ville; Hirsto, Laura – Journal of Technology and Teacher Education, 2023
Pre-service teacher training is research intensive in Finland. Additionally, teaching as a profession is highly valued among young people. However, quantitative methods courses are challenging for teacher students from many reasons. Particularly, this is due to previous negative experiences and emotions (among other things). Thus, novel approaches…
Descriptors: Emotional Response, Preservice Teachers, Student Behavior, Difficulty Level
Blumenstein, Marion – Journal of Learning Analytics, 2020
The field of learning analytics (LA) has seen a gradual shift from purely data-driven approaches to more holistic views of improving student learning outcomes through data-informed learning design (LD). Despite the growing potential of LA in higher education (HE), the benefits are not yet convincing to the practitioner, in particular aspects of…
Descriptors: Learning Analytics, Instructional Design, Effect Size, Higher Education
