Learning Analytics Methods And Tutorials
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Learning Analytics Methods and Tutorials
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 quantitative topics in education at large as well as the latest in learning analytics and education data mining. The book also goes deeper into advanced methods that are at the forefront of novel methodological innovations. Authors of the book include world-renowned learning analytics researchers, R package developers, and methodological experts from diverse fields offering an unprecedented interdisciplinary reference on novel topics that is hard to find elsewhere. The book starts with the basics of R as a programming language, the basics of data cleaning, data manipulation, statistics, and analytics. In doing so, the book is suitable for newcomers as 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 essential techniques and basic functions combined with code and a full tutorial of the analysis with open-access real-life data. A total of 22 chapters are included in the book covering a wide range of methods such as predictive learning analytics, network analysis, temporal networks, epistemic networks, sequence analysis, process mining, factor analysis, structural topic modeling, clustering, longitudinal analysis, and Markov models. What is really unique about the book is that researchers can perform the most advanced analysis with the included code using the step-by-step tutorial and the included data without the need for any extra resources. This is an open access book.
Proceedings of TEEM 2024
Author: Rafael Molina Carmona
language: en
Publisher: Springer Nature
Release Date: 2025-08-15
This volume comprises of the proceedings of The Twelfth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM). It reflects outstanding advances, with a multidisciplinary perspective, in the technological ecosystems that support Knowledge Society building and development. This book covers broad-scope research areas, such as Educational Assessment and Orientation, Human-Computer Interaction, eLearning, Computers in Education, Communication Media and Education, Medicine and Education, Learning Analytics, Engineering Education, Robotics in Education, Diversity in Education, Smart Learning and Gamification, and Games for Learning. TEEM is divided into fifteen thematic and highly cohesive tracks, each of which is oriented to a specific community of interest, including researchers, professionals, and students. Additionally, the multidisciplinary approach allows cross-track interest, which enhances the value of the overall volume.
Technology Enhanced Learning for Inclusive and Equitable Quality Education
Author: Rafael Ferreira Mello
language: en
Publisher: Springer Nature
Release Date: 2024-09-12
The two-volume set LNCS 15159 and 15160 constitutes the proceedings of 19th European Conference on Technology Enhanced Learning, EC-TEL 2024, which took place in Krems, Austria, in September 2024. The 37 full papers, 25 poster papers, and 10 demo papers presented in the proceedings were carefully reviewed and selected from 140 submissions for research papers, and 26 poster and 19 demo submissions. They focus on effective technology adoption in educational settings, ethical concerns, and the possible digital divide these technologies could create. The theme for the 2024 conference aimed to explore the role of Technology-Enhanced Learning (TEL) in this critical context and in achieving the United Nations’ Sustainable Development Goal for education: “Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all.”