Titlebook: Learning Analytics Methods and Tutorials; A Practical Guide Us Mohammed Saqr,Sonsoles López-Pernas Book‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if appl

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Santtu Tikka,Juho Kopra,Merja Heinäniemi,Sonsoles López-Pernas,Mohammed Saqr

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Santtu Tikka,Juho Kopra,Merja Heinäniemi,Sonsoles López-Pernas,Mohammed Saqr

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Sonsoles López-Pernas,Kamila Misiejuk,Santtu Tikka,Juho Kopra,Merja Heinäniemi,Mohammed Saqr

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Mohammed Saqr,Sonsoles López-Pernas,Satu Helske,Marion Durand,Keefe Murphy,Matthias Studer,Gilbert R

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Capturing the Wealth and Diversity of Learning Processes with Learning Analytics Methods,arning analytics field. Thanks to the unique wealth of authors’ backgrounds and expertise, which include authors of R packages and experts in methods and applications, the book offers a comprehensive array of methods that are described thoroughly with a primer on their usage in prior research in edu

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Dissimilarity-Based Cluster Analysis of Educational Data: A Comparative Tutorial Using Red heuristic dissimilarity-based clustering algorithms; namely, .-means, .-medoids, and agglomerative hierarchical clustering. The .-means clustering algorithm is described including the outline of the arguments of the relevant R functions and the main limitations and practical concerns to be aware

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