Learning Analytics Methods and Tutorials: A Practical Guide Using R (Paperback, 2024)

Chapter. 1. Capturing the Wealth and Diversity of Learning Processes with Learning
Analytics MethodsPart. I.?Getting startedChapter. 2.?A Broad Collection of Datasets for Educational Research Training and?ApplicationChapter. 3.?Getting started with R for Education ResearchChapter. 4.?An R Approach to Data Cleaning and Wrangling for EducationChapter. 5.?Introductory Statistics with R for Educational ResearchersChapter. 6.?Visualizing and Reporting Educational Data with RPart. II.?Machine LearningChapter. 7.?Predictive Modelling in Learning Analytics using RChapter. 8.?Dissimilarity-based Cluster Analysis of Educational Data: A?Comparative Tutorial using RChapter. 9.?An Introduction and R Tutorial to Model-based Clustering in Education?via Latent Profile AnalysisPart. III.?Temporal methodsChapter. 10.?Sequence Analysis in Education: Principles, Technique, and Tutorial?with RChapter. 11.?Modeling the Dynamics of Longitudinal Processes in Education. A?tutorial with R for The VaSSTra MethodChapter. 12.?A Modern Approach to Transition Analysis and Process Mining with?Markov Models in EducationChapter. 13.?Multichannel Sequence Analysis in Educational Research Using RChapter. 14.?The Why, the How, and the When of Educational Process Mining in RPart. IV.?Network analysisChapter. 15.?Social Network Analysis: A Primer, a Guide and a Tutorial in RChapter. 16.?Community Detection in Learning Networks Using RChapter. 17.?Temporal Network Analysis: Introduction, Methods, and Analysis with?RChapter. 18.?Epistemic Network Analysis and Ordered Network Analysis in?Learning Analytics.- Part. V.?PsychometricsChapter. 19.?Psychological Networks: A Modern Approach to Analysis of Learning?and Complex Learning ProcessesChapter. 20.?Factor Analysis in Education Research using RChapter. 21.?Structural Equation Modeling with R for Education ScientistsChapter. 22.?Why educational research needs a complex system revolution that?embraces individual differences, heterogeneity, and uncertainty