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Sinopsis
Chapter 1 Learning Any Time, Anywhere: Big Educational Data from Smart Devices
Mark A. Riedesel and Parick Charles
Chapter 2 Framing Learning Analytics and Educational Data Mining for Teaching: Critical Inferencing, Domain Knowledge, & Pedagogy
Owen G. McGrath
Chapter 3 Learning Traces, Competence Assessment, and Causal Inference for English Composition
Clayton Clemens, Vivekanandan Kumar, David Boulanger, Jeremie Seanosky, Kinshuk
Chapter 4 QUESGEN: A Framework for Automatic Question Generation Using Semantic Web and Lexical Databases
Nguyen-Thinh Le, Alexej Shabas, Patrick McLaren
Chapter 5 A big data reference architecture for teaching social media mining
Jochen Wulf
Chapter 6 Big Data in Education: Supporting Learners in Their Role as Reflective Practitioners
Sabine Seufert & Christoph MeierChapter 7 Towards Big Data in Education: the case at the Open University of the Netherlands
Hubert Vogten, Rob Koper
Chapter 8 Learning Analytics in Practice: Providing e-Learning Researchers and Practitioners with Activity Data
J. Minguillón, J. Conesa, M.E. Rodríguez, F. Santanach
Chapter 9 Using Apache Spark for Modeling Education Data at Scale
Nicholas Lewkow and Jacqueline Feild
Chapter 10 Towards a Cloud-Based Big Data Infrastructure for Higher Education Institutions
Stefaan Ternier, Maren Scheffel, Hendrik Drachsler
Chapter 11 Cloud Services in Collaborative Learning: Applications and Implications
Ding-Chau Wang, Yong-Ming Huang
Chapter 12 Cloud Computing Environment in Big Data for Education
Dharmpal Singh
Chapter 13 Head in the Clouds: Some of the Possible Issues with Cloud-Computing in Education
Richard A.W. Tortorella, Kinshuk, Nian-Shing Chen
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