Learning analytics is one of the most important research issues in the field of educational technology. By analyzing logs and records in educational databases and systems, it can provide useful information to teachers, learners, and decision makers – information which they can use to improve teaching strategies, learning performances, and educational policies. However, it is a great challenge for most researchers to efficiently analyze educational data in a meaningful way. This book presents various learning analytics approaches and applications, including the process of determining the coding scheme, analyzing the collected data, and interpreting the findings.
This book was originally published as a special issue of Interactive Learning Environments.
Introduction: Objectives, methodologies and research issues of learning analytics 1. Learning behaviours of low-achieving children’s mathematics learning in using of helping tools in a synchronous peer-tutoring system 2. Two tales of time: uncovering the significance of sequential patterns among contribution types in knowledge-building discourse 3. Unfolding online learning behavioral patterns and their temporal changes of college students in SPOCs 4. Analysis of learning behavior in a flipped programing classroom adopting problem-solving strategies 5. Effects of an online formative peer-tutoring approach on students’ learning behaviors, performance and cognitive load in mathematics 6. Applying learning analytics for improving students engagement and learning outcomes in an MOOCs enabled collaborative programming course 7. Learning behavior and achievement analysis of a digital game-based learning approach integrating mastery learning theory and different feedback models 8. Enhancing learning performance, attention, and meditation using a speech-to-text recognition application: evidence from multiple data sources 9. Learning analysis of K-12 students’ online problem solving: a three-stage assessment approach