Learning Analytics for Educational Improvement
| Author | : | |
| Rating | : | 4.75 (821 Votes) |
| Asin | : | 1138121835 |
| Format Type | : | paperback |
| Number of Pages | : | 224 Pages |
| Publish Date | : | 2017-04-01 |
| Language | : | English |
DESCRIPTION:
Means is an educational psychologist whose research focuses on ways in which technology can support students' learning of advanced skills and the revitalization of classrooms and schools. Marie Bienkowski is deputy director of SRI International's Center for Technology in Learning, where she contributes her computer science skill set to multidisciplinary projects in developing and evaluating technology.. Dr. Andrew Krumm is a senior education researcher in SRI International’s Center for Technology in Learning.Dr. Recently named a fellow of the American Educational Research Association, she is regarded as a leader in defining issues and approaches for e
Dr. Andrew Krumm is a senior education researcher in SRI International’s Center for Technology in Learning.Dr. Dr. Barbara Means directs the Center for Technology in Learning at SRI International. Dr. Recently named a fellow of the American Educational Research Association, she is regarded as a leader in defining issues and approaches for evaluating the implementation and efficacy of technology-supported educational innovations. Marie Bienkowski
This book serves as a one-stop reference for a variety of learning analytics tools and techniques and makes those methods meaningful by describing their application in a wide range of real-world education contexts.. Although application of big data techniques to learning and education is quite new, learning analytics and educational data mining have been growing rapidly, fueled by the visible successes of applications of data analytics in the commercial and political realms. Learning Analytics for Educational Improvement presents a framework for understanding how to conduct new forms of education research and enact new approaches to improving education practice made possible by big data