Frontiers of Cyberlearning: Emerging Technologies for Teaching and Learning

By: Spector

Book Overview

Chapter 1 Learning Any Time, Anywhere: Big Educational Data from Smart DevicesMark A. Riedesel and Parick CharlesChapter 2 Framing Learning Analytics and Educational Data Mining for Teaching: Critical Inferencing, Domain Knowledge, & Pedagogy Owen G. McGrathChapter 3 Learning Traces, Competence Assessment, and Causal Inference for English CompositionClayton Clemens, Vivekanandan Kumar, David Boulanger, Jeremie Seanosky, KinshukChapter 4 QUESGEN: A Framework for Automatic Question Generation Using Semantic Web and Lexical Databases Nguyen-Thinh Le, Alexej Shabas, Patrick McLarenChapter 5 A big data reference architecture for teaching social media mining Jochen WulfChapter 6 Big Data in Education: Supporting Learners in Their Role as Reflective PractitionersSabine Seufert & Christoph MeierChapter 7 Towards Big Data in Education: the case at the Open University of the NetherlandsHubert Vogten, Rob KoperChapter 8 Learning Analytics in Practice: Providing e-Learning Researchers and Practitioners with Activity DataJ. Minguill?n, J. Conesa, M.E. Rodr?guez, F. SantanachChapter 9 Using Apache Spark for Modeling Education Data at ScaleNicholas Lewkow and Jacqueline FeildChapter 10 Towards a Cloud-Based Big Data Infrastructure for Higher Education InstitutionsStefaan Ternier, Maren Scheffel, Hendrik DrachslerChapter 11 Cloud Services in Collaborative Learning: Applications and ImplicationsDing-Chau Wang, Yong-Ming HuangChapter 12 Cloud Computing Environment in Big Data for EducationDharmpal SinghChapter 13 Head in the Clouds: Some of the Possible Issues with Cloud-Computing in EducationRichard A.W. Tortorella, Kinshuk, Nian-Shing Chen

• Format: Hardcover
• Language: English
• ISBN: 9811306494
• ISBN13: 9789811306495
• Release Date: November 2018
• Publisher: Springer
• Length: 246 Pages
• Weight: 1.17 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"