Learning Analytics Methods and Tutorials : A Practical Guide Using R

✍ Scribed by Mohammed Saqr; Sonsoles López-Pernas

• Publisher: Springer Nature Switzerland
• Year: 2024
• Tongue: English
• Leaves: 770
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Cover
Front Matter
Capturing the Wealth and Diversity of Learning Processes with Learning Analytics Methods
Part I. Getting Started
A Broad Collection of Datasets for Educational Research Training and Application
Getting Started with R for Education Research
An R Approach to Data Cleaning and Wrangling for Education Research
Introductory Statistics with R for Educational Researchers
Visualizing and Reporting Educational Data with R
Part II. Machine Learning
Predictive Modelling in Learning Analytics: A Machine Learning Approach in R
Dissimilarity-Based Cluster Analysis of Educational Data: A Comparative Tutorial Using R
An Introduction and R Tutorial to Model-Based Clustering in Education via Latent Profile Analysis
Part III. Temporal Methods
Sequence Analysis in Education: Principles, Technique, and Tutorial with R
Modeling the Dynamics of Longitudinal Processes in Education. A Tutorial with R for the VaSSTra Method
A Modern Approach to Transition Analysis and Process Mining with Markov Models in Education
Multi-Channel Sequence Analysis in Educational Research: An Introduction and Tutorial with R
The Why, the How and the When of Educational Process Mining in R
Part IV. Network Analysis
Social Network Analysis: A Primer, a Guide and a Tutorial in R
Community Detection in Learning Networks Using R
Temporal Network Analysis: Introduction, Methods and Analysis with R
Epistemic Network Analysis and Ordered Network Analysis in Learning Analytics
Part V. Psychometrics
Psychological Networks: A Modern Approach to Analysis of Learning and Complex Learning Processes
Factor Analysis in Education Research Using R
Structural Equation Modeling with R for Education Scientists
Why Educational Research Needs a Complex System Revolution that Embraces Individual Differences, Heterogeneity, and Uncertainty
Back Matter