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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.
List of contents
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
About the author
Gwo-Jen Hwang is a Chair Professor at the National Taiwan University of Science and Technology, Taipei City, Taiwan. Owing to the reputation in academic research and innovative inventions in e-learning, he received the annual most Outstanding Researcher Award from the National Science Council of Taiwan in the years of 2007, 2010 and 2013. Moreover, in 2016, he was announced by
Times Higher Education as being the most prolific and cited researcher in the world in the field of social sciences.
Hui-Chun Chu serves as an Editorial Board Member and a Reviewer for more than 15 academic journals. Her research interests include mobile and ubiquitous learning, game-based learning, information technology-applied instructions, flipped learning, and knowledge engineering in education. Owing to her distinguished academic performance and service in e-learning, she received the Annual Young Scholars Outstanding Researcher Award - Ta-You Wu Memorial Award from the Ministry of Science and Technology in 2014.
Chengjiu Yin is an Associate Professor at Kobe University, Japan. He has more than 10 years of experience in the field of educational technology, with a focus on language learning and mobile learning. His current research focuseses on learning analysis. His research has been published in journals including the
Journal of Educational Technology & Society and
Interactive Learning Environments.
Summary
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.
