Advanced Learning Analytics Methods

This is an open access book. This comprehensive and timely methodological book introduces several novel topics under the overarching sections of advanced learning analytics (LA), artificial intelligence (AI), precision education, and complex systems. These topics are presented using accessible langu...

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Հրապարակվել է: Springer Nature 2025
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Առցանց հասանելիություն:ONIX_20251128T131701_9783031953651_4
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collection Directory of Open Access Books
description This is an open access book. This comprehensive and timely methodological book introduces several novel topics under the overarching sections of advanced learning analytics (LA), artificial intelligence (AI), precision education, and complex systems. These topics are presented using accessible language, beginning with introductory chapters that cover the fundamentals of each section, followed by step-by-step tutorials featuring code and datasets for various methods within each area. Although the title refers to “advanced LA,” the book is written for the broader educational research community and is of interest to quantitative researchers from diverse backgrounds. The first section focuses on Explainable AI and machine learning (ML), with an introduction to the methods, their applications, and tutorials. The second section outlines the foundational concepts of LLMs, their potential applications, and related methodologies, with a tutorial on using LLMs in various analytical tasks. The third section focuses on complex systems, which have become integral to many disciplines and have enabled breakthroughs in modeling intractable problems. Here, three chapters cover Transition Network Analysis (TNA), which fills a critical gap in modeling the temporal unfolding of learning processes over time from a complex systems perspective. The final section addresses precision education, with a particular emphasis on person-centered and person-specific (idiographic) methodologies.
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spelling doab-20.500.12854ir-1695842025-11-29T05:43:41Z Advanced Learning Analytics Methods Saqr, Mohammed López-Pernas, Sonsoles Open Access learning analytics learning analytics methods educational data mining data mining with R predictive learning analytics explainable artificial intelligence complex systems peecisión education person-specific natural language processing psychological networks complex system dynamics idiographic analytics single subject analytics Artificial Intelligence machine learning Tutorials R Precision AI thema EDItEUR::J Society and Social Sciences::JN Education::JNV Educational equipment and technology, computer-aided learning (CAL) thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems thema EDItEUR::U Computing and Information Technology::UX Applied computing::UXJ Computer applications in the social and behavioural sciences This is an open access book. This comprehensive and timely methodological book introduces several novel topics under the overarching sections of advanced learning analytics (LA), artificial intelligence (AI), precision education, and complex systems. These topics are presented using accessible language, beginning with introductory chapters that cover the fundamentals of each section, followed by step-by-step tutorials featuring code and datasets for various methods within each area. Although the title refers to “advanced LA,” the book is written for the broader educational research community and is of interest to quantitative researchers from diverse backgrounds. The first section focuses on Explainable AI and machine learning (ML), with an introduction to the methods, their applications, and tutorials. The second section outlines the foundational concepts of LLMs, their potential applications, and related methodologies, with a tutorial on using LLMs in various analytical tasks. The third section focuses on complex systems, which have become integral to many disciplines and have enabled breakthroughs in modeling intractable problems. Here, three chapters cover Transition Network Analysis (TNA), which fills a critical gap in modeling the temporal unfolding of learning processes over time from a complex systems perspective. The final section addresses precision education, with a particular emphasis on person-centered and person-specific (idiographic) methodologies. 2025-11-29T05:43:41Z 2025-11-29T05:43:41Z 2025-11-28T12:18:40Z 2026 book ONIX_20251128T131701_9783031953651_4 https://library.oapen.org/handle/20.500.12657/108636 9783031953651 9783031953644 https://directory.doabooks.org/handle/20.500.12854/169584 eng Computer Science; Computer Science (R0) open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/108636/1/9783031953651.pdf Springer Nature Springer 10.1007/978-3-031-95365-1 10.1007/978-3-031-95365-1 9fa3421d-f917-4153-b9ab-fc337c396b5a df956fae-6ac3-406b-93bc-62761adc2cbc 9783031953651 9783031953644 Springer 593 Cham [...] open access
spellingShingle Open Access
learning analytics
learning analytics methods
educational data mining
data mining with R
predictive learning analytics
explainable artificial intelligence
complex systems
peecisión education
person-specific
natural language processing
psychological networks
complex system dynamics
idiographic analytics
single subject analytics
Artificial Intelligence
machine learning
Tutorials
R
Precision AI
thema EDItEUR::J Society and Social Sciences::JN Education::JNV Educational equipment and technology, computer-aided learning (CAL)
thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
thema EDItEUR::U Computing and Information Technology::UX Applied computing::UXJ Computer applications in the social and behavioural sciences
Advanced Learning Analytics Methods
title Advanced Learning Analytics Methods
title_full Advanced Learning Analytics Methods
title_fullStr Advanced Learning Analytics Methods
title_full_unstemmed Advanced Learning Analytics Methods
title_short Advanced Learning Analytics Methods
title_sort advanced learning analytics methods
topic Open Access
learning analytics
learning analytics methods
educational data mining
data mining with R
predictive learning analytics
explainable artificial intelligence
complex systems
peecisión education
person-specific
natural language processing
psychological networks
complex system dynamics
idiographic analytics
single subject analytics
Artificial Intelligence
machine learning
Tutorials
R
Precision AI
thema EDItEUR::J Society and Social Sciences::JN Education::JNV Educational equipment and technology, computer-aided learning (CAL)
thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
thema EDItEUR::U Computing and Information Technology::UX Applied computing::UXJ Computer applications in the social and behavioural sciences
topic_facet Open Access
learning analytics
learning analytics methods
educational data mining
data mining with R
predictive learning analytics
explainable artificial intelligence
complex systems
peecisión education
person-specific
natural language processing
psychological networks
complex system dynamics
idiographic analytics
single subject analytics
Artificial Intelligence
machine learning
Tutorials
R
Precision AI
thema EDItEUR::J Society and Social Sciences::JN Education::JNV Educational equipment and technology, computer-aided learning (CAL)
thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
thema EDItEUR::U Computing and Information Technology::UX Applied computing::UXJ Computer applications in the social and behavioural sciences
url ONIX_20251128T131701_9783031953651_4