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The Role of Learning Theory in Multimodal Learning Analytics
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Giannakos, Michail; Cukurova, Mutlu – British Journal of Educational Technology, 2023
This study presents the outcomes of a semi-systematic literature review on the role of learning theory in multimodal learning analytics (MMLA) research. Based on previous systematic literature reviews in MMLA and an additional new search, 35 MMLA works were identified that use theory. The results show that MMLA studies do not always discuss their…
Descriptors: Learning Theories, Multimedia Instruction, Learning Analytics, Research Reports
Collaborative Learning Analytics: Centring the Ethical Implications around Teacher and Student Empowerment. A Systematic Review
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Montse Guitert Catasús; Teresa Romeu Fontanillas; Juliana E. Raffaghelli; Juan Pedro Cerro Martínez – Journal of Learning Analytics, 2025
This article systematically reviews the role of learning analytics (LA) in collaborative learning, particularly exploring how it can empower both teachers and students. Based on the analysis of 87 articles, selected by adopting the PRISMA workflow, the study discusses the intersection of LA with collaborative learning (CL), emphasizing the…
Descriptors: Learning Analytics, Teacher Empowerment, Student Empowerment, Cooperative Learning
A Conversation between Learning Design and Classroom Observations: A Systematic Literature Review
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Eradze, Maka; Rodríguez-Triana, María Jesús; Laanpere, Mart – Education Sciences, 2019
Learning Design, as a field of research, provides practitioners with guidelines towards more effective teaching and learning. In parallel, observational methods (manual or automated) have been used in the classroom to reflect on and refine teaching and learning, often in combination with other data sources (such as surveys and interviews). Despite…
Descriptors: Literature Reviews, Instructional Design, Learning Analytics, Classroom Observation Techniques
Is There Order in the Mess? A Single Paper Meta-Analysis Approach to Identification of Predictors of Success in Learning Analytics
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Saqr, Mohammed; Jovanovic, Jelena; Viberg, Olga; Gaševic, Dragan – Studies in Higher Education, 2022
Predictors of student academic success do not always replicate well across different learning designs, subject areas, or educational institutions. This suggests that characteristics of a particular discipline and learning design have to be carefully considered when creating predictive models in order to scale up learning analytics. This study…
Descriptors: Meta Analysis, Learning Analytics, Predictor Variables, Correlation