Learning Analytics Methods and Tutorials
portes grátis
Learning Analytics Methods and Tutorials
A Practical Guide Using R
Lopez-Pernas, Sonsoles; Saqr, Mohammed
Springer International Publishing AG
06/2024
736
Dura
9783031544637
15 a 20 dias
Descrição não disponível.
Chapter. 1. Capturing the Wealth and Diversity of Learning Processes with LearningAnalytics Methods.- Part. I. Getting started.- Chapter. 2. A Broad Collection of Datasets for Educational Research Training and Application.- Chapter. 3. Getting started with R for Education Research.- Chapter. 4. An R Approach to Data Cleaning and Wrangling for Education.- Chapter. 5. Introductory Statistics with R for Educational Researchers.- Chapter. 6. Visualizing and Reporting Educational Data with R.- Part. II. Machine Learning.- Chapter. 7. Predictive Modelling in Learning Analytics using R.- Chapter. 8. Dissimilarity-based Cluster Analysis of Educational Data: A Comparative Tutorial using R.- Chapter. 9. An Introduction and R Tutorial to Model-based Clustering in Education via Latent Profile Analysis.- Part. III. Temporal methods.- Chapter. 10. Sequence Analysis in Education: Principles, Technique, and Tutorial with R.- Chapter. 11. Modeling the Dynamics of Longitudinal Processes in Education. A tutorial with R for The VaSSTra Method.- Chapter. 12. A Modern Approach to Transition Analysis and Process Mining with Markov Models in Education.- Chapter. 13. Multichannel Sequence Analysis in Educational Research Using R.- Chapter. 14. The Why, the How, and the When of Educational Process Mining in R.- Part. IV. Network analysis.- Chapter. 15. Social Network Analysis: A Primer, a Guide and a Tutorial in R.- Chapter. 16. Community Detection in Learning Networks Using R.- Chapter. 17. Temporal Network Analysis: Introduction, Methods, and Analysis with R.- Chapter. 18. Epistemic Network Analysis and Ordered Network Analysis in Learning Analytics.- Part. V. Psychometrics.- Chapter. 19. Psychological Networks: A Modern Approach to Analysis of Learning and Complex Learning Processes.- Chapter. 20. Factor Analysis in Education Research using R.- Chapter. 21. Structural Equation Modeling with R for Education Scientists.- Chapter. 22. Why educational research needs a complex system revolution that embraces individual differences, heterogeneity, and uncertainty.-
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learning analytics methods;educational data mining;quantitative methods in education;social network analysis;sequence analysis;Process mining;machine learning in education;artificial intelligence in education;temporal networks;epistemic networks;open access
Chapter. 1. Capturing the Wealth and Diversity of Learning Processes with LearningAnalytics Methods.- Part. I. Getting started.- Chapter. 2. A Broad Collection of Datasets for Educational Research Training and Application.- Chapter. 3. Getting started with R for Education Research.- Chapter. 4. An R Approach to Data Cleaning and Wrangling for Education.- Chapter. 5. Introductory Statistics with R for Educational Researchers.- Chapter. 6. Visualizing and Reporting Educational Data with R.- Part. II. Machine Learning.- Chapter. 7. Predictive Modelling in Learning Analytics using R.- Chapter. 8. Dissimilarity-based Cluster Analysis of Educational Data: A Comparative Tutorial using R.- Chapter. 9. An Introduction and R Tutorial to Model-based Clustering in Education via Latent Profile Analysis.- Part. III. Temporal methods.- Chapter. 10. Sequence Analysis in Education: Principles, Technique, and Tutorial with R.- Chapter. 11. Modeling the Dynamics of Longitudinal Processes in Education. A tutorial with R for The VaSSTra Method.- Chapter. 12. A Modern Approach to Transition Analysis and Process Mining with Markov Models in Education.- Chapter. 13. Multichannel Sequence Analysis in Educational Research Using R.- Chapter. 14. The Why, the How, and the When of Educational Process Mining in R.- Part. IV. Network analysis.- Chapter. 15. Social Network Analysis: A Primer, a Guide and a Tutorial in R.- Chapter. 16. Community Detection in Learning Networks Using R.- Chapter. 17. Temporal Network Analysis: Introduction, Methods, and Analysis with R.- Chapter. 18. Epistemic Network Analysis and Ordered Network Analysis in Learning Analytics.- Part. V. Psychometrics.- Chapter. 19. Psychological Networks: A Modern Approach to Analysis of Learning and Complex Learning Processes.- Chapter. 20. Factor Analysis in Education Research using R.- Chapter. 21. Structural Equation Modeling with R for Education Scientists.- Chapter. 22. Why educational research needs a complex system revolution that embraces individual differences, heterogeneity, and uncertainty.-
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