Learning Analytics

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Applied Learning Analytics
behavioural analytics in education
Blended Learning
Category=JN
Category=UN
Category=UXJ
Cognitive Load Questionnaire
Conventional Learning Method
digital game-based learning
educational data mining
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
flipped programming
formative assessment strategies
Formative PT
game-based learning
Grant Number NSC
H1 Tool
Knowledge Acquisition
Knowledge Building Dialogues
Knowledge Building Discourse
Lag Sequential Analysis
Learning Activity Management System
Learning Analytics
Learning Analytics Approaches
learning behaviours
mastery learning theory
MOOC
MOOCs
Non-native English Speaking Students
Online Collaborative Group
Online Learning Behaviors
online problem solving
Open Educational Data
Peer Tutoring Group
Peer Tutoring Process
peer tutoring systems
peer-tutoring
PT Approach
PT System
Sequential Behavioral Patterns
SPOCs
student engagement analysis

Product details

  • ISBN 9780367584085
  • Weight: 290g
  • Dimensions: 174 x 246mm
  • Publication Date: 30 Jun 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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.