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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Book‘‘‘‘‘‘‘‘ 2024 they can find an easy entry to the field, as well as being comprehensive of all the major methodologies. For every method, the corresponding chapter starts with the basics, explains the main concepts, and reviews examples from the literature. Every chapter has a detailed explanation of the essentia

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978-3-031-54466-8The Editor(s) (if applicable) and The Author(s) 2024

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Mohammed Saqr,Sonsoles López-PernasThe book is a tutorial for learning analytics, data mining and quantitative methods in education.The book is or beginners and experienced readers with step-by-step tutorials, real-life data and code.T

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https://doi.org/10.1007/978-3-031-54464-4learning analytics methods; educational data mining; quantitative methods in education; social network

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Social Network Analysis: A Primer, a Guide and a Tutorial in Rsis of networks, computation of graph level measures as well as centralities with a concise interpretation in a collaborative environment. The chapter concludes with a discussion of network analysis, next steps as well as a list of further readings.

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aders with step-by-step tutorials, real-life data and code.T.This open access comprehensive methodological book offers a much-needed answer to the lack of resources and methodological guidance in learning analytics, which has been a problem ever since the field started. The book covers all important

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Predictive Modelling in Learning Analytics: A Machine Learning Approach in Rwell as a step-by-step tutorial of how to perform predictive modelling in LA using R. The tutorial demonstrates how to predict student success using learning traces originating from a learning management system, guiding the reader through all the required steps from the data preparation all to the evaluation of the built models.