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, & Pedagogy.- Chapter 3 Learning Traces, Competence Assessment, and Causal Inference for English Composition.- Chapter 4 QUESGEN: A Framework for Automatic Question Generation Using Semantic Web and Lexical Databases.- 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 Education Data 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.