Frontiers of Cyberlearning: Emerging Technologies for Teaching and Learning

ISBN-13: 9789811344718 / Angielski / Miękka / 2019 / 246 str.

J. Michael Spector; Vivekanandan Kumar; Alfred Essa

Spis treści

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 Meier

Chapter 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

O autorze

Johnathan Michael Spector is a professor at the Study Technology Department, School of Information, University of North Texas and former chairman of the Association of American Education and Communication Technology.

Vivekanandan Kumar is a professor at the School of Computing and Information Systems at Athabasca University, Canada. He holds the Natural Sciences and Engineering Research Council of Canada’s Discovery Grant on Anthropomorphic Pedagogical Agents, funded by the Government of Canada.

Alfred Essa is vice president of Analytics and R&D at McGraw-Hill Education, where he leads the company-wide learning science research and data science practices. Previously he was director of Analytics Research & Strategy at Desire2Learn Inc, where he was responsible for research and business strategy for the analytics portfolio.

Yueh-Min Huang is a chair professor of the Multimedia Network Lab at the Department of Engineering Science, National Cheng Kung University. His research interests include multimedia communications, e-learning, wireless networking and artificial intelligence.

Rob Koper is a distinguished professor at the Open University of the Netherlands with a specific focus on the innovation of online education. He studies the social and cognitive aspects of human learning, the effective use of ICTs for human learning and the improvement of educational institutions to facilitate teaching and learning.

Blurb

This book demonstrates teachers’ and learners’ experiences with big data in education; education and cloud computing; and new technologies for teacher support. It also discusses the advantages of using these frontier technologies in teaching and learning and predicts the future challenges. As such, it enables readers to better understand how technologies can improve learning and teaching experiences. It is intended for graduates and scholars in educational technology disciplines and anyone interested in the applications of frontier technologies in education.