Frontiers of Cyberlearning

Chapter 1 Learning Any Time, Anywhere: Big Educational Data from Smart Devices

Chapter 2 Framing Learning Analytics and Educational Data Mining for Teaching: Critical Inferencing, Domain Knowledge, and Pedagogy

Chapter 3 Learning Traces, Competence Assessment, and Causal Inference for English Composition

Chapter 5 A Big Data Reference Architecture for Teaching Social Media Mining

Chapter 6 Big Data in Education: Supporting Learners in Their Role as Reflective Practitioners

Chapter 7 Towards Big Data in Education: The Case at the Open University of the Netherlands

Chapter 8 Learning Analytics in Practice: Providing E-Learning Researchers and Practitioners with Activity Data

Chapter 9 Using Apache Spark for Modeling Student Behavior at Scale

Chapter 10 Towards a Cloud-Based Big Data Infrastructure for Higher Education Institutions

Chapter 11 Cloud Services in Collaborative Learning: Applications and Implications

Chapter 12 Cloud Computing Environment in Big Data for Education

Chapter 13 Head in the Clouds: Some of the Possible Issues with Cloud Computing in Education