Chapter 2 Utilising Learning Analytics for Study Success: Reflections on Current Empirical Findings

Chapter 3 Supporting Stakeholders with Learning Analytics to Increase Study Success

Chapter 4 Implementing Learning Analytics into Existing Higher Education Legacy Systems

Chapter 5 When Students Get Stuck: Adaptive Remote Labs as a Way to Support Students in Practical Engineering Education

Chapter 6 Learning Analytics Challenges to Overcome in Higher Education Institutions

Chapter 7 The LAPS Project: Using Machine Learning Techniques for Early Student Support

Chapter 8 Monitoring the Use of Learning Strategies in a Web-Based Pre-course in Mathematics

Chapter 9 Issues and Challenges for Implementing Writing Analytics at Higher Education

Chapter 10 Digital Applications as Smart Solutions for Learning and Teaching at Higher Education Institutions

Chapter 11 Learning Analytics to Support Teachers’ Assessment of Problem Solving: A Novel Application for Machine Learning and Graph Algorithms

Chapter 12 Utilizing Learning Analytics in Small Institutions: A Study of Performance of Adult Learners in Online Classes

Chapter 13 Empowering Teachers to Personalize Learning Support

Chapter 14 Predicting Success, Preventing Failure

Chapter 15 Using Learning Analytics to Examine Relationships Between Learners’ Usage Data with Their Profiles and Perceptions: A Case Study of a MOOC Designed for Working Professionals

Chapter 16 Learning Analytics Leading to Remote Invigilation for eTests: A Case Study

Chapter 17 Epilogue: Future Directions on Learning Analytics to Enhance Study Success