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Learning Analytics Goes to School : A Collaborative Approach to Improving Education.

By: Krumm, Andrew.
Contributor(s): Means, Barbara | Bienkowski, Marie.
Material type: TextTextPublisher: London : Routledge, 2018Copyright date: ©2018Edition: 1st ed.Description: 1 online resource (191 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9781317307860.Subject(s): Education-Research-Data processing | Educational statistics | Big dataGenre/Form: Electronic books.Additional physical formats: Print version:: Learning Analytics Goes to School : A Collaborative Approach to Improving EducationDDC classification: 370.72 LOC classification: LB1028.43 .K786 2018Online resources: Click here to view book
Contents:
Cover -- Title -- Copyright -- Contents -- List of figures -- List of tables -- List of boxes -- Preface -- Acknowledgements -- 1 Introduction -- 2 Data Used in Educational Data-Intensive Research -- 3 Methods Used in Educational Data-Intensive Research -- 4 Legal and Ethical Issues in Using Educational Data -- 5 Foundations of Collaborative Applications of Educational Data Mining and Learning Analytics -- 6 Supporting Conditions for Collaborative Data-Intensive Improvement -- 7 Five Phases of Collaborative Data-Intensive Improvement -- 8 Lessons Learned and Prospects for the Future -- Glossary -- Index.
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Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online
LB1028.43 .K786 2018 (Browse shelf) https://ebookcentral.proquest.com/lib/uttyler/detail.action?docID=5217926 Available EBC5217926

Cover -- Title -- Copyright -- Contents -- List of figures -- List of tables -- List of boxes -- Preface -- Acknowledgements -- 1 Introduction -- 2 Data Used in Educational Data-Intensive Research -- 3 Methods Used in Educational Data-Intensive Research -- 4 Legal and Ethical Issues in Using Educational Data -- 5 Foundations of Collaborative Applications of Educational Data Mining and Learning Analytics -- 6 Supporting Conditions for Collaborative Data-Intensive Improvement -- 7 Five Phases of Collaborative Data-Intensive Improvement -- 8 Lessons Learned and Prospects for the Future -- Glossary -- Index.

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Author notes provided by Syndetics

<p>Dr. Andrew Krumm is Director of Learning Analytics Research at Digital Promise, a nonprofit organization that brings together the expertise of educators, researchers, and technology developers in the interest of improving teaching and learning. Dr. Krumm has launched multiple research-practice partnerships and his research addresses the use of data-intensive research techniques to improve learning environments.</p> <p> Dr. Barbara Means is Executive Director for Learning Sciences Research at Digital Promise. Formerly the founder and director of the Center for Technology in Learning at SRI International, Dr. Means is a nationally recognized expert in defining issues and approaches for evaluating the implementation and efficacy of technology-supported educational innovations.</p> <p> Dr. Marie Bienkowski is Director of the Center for Technology in Learning at SRI International, a nonprofit research and development organization based in Silicon Valley that takes innovative ideas and technologies from the laboratory to the end-user and marketplace. Dr. Bienkowski is a computer scientist and education researcher leading efforts to improve student learning, effective teaching, and meaningful assessment.</p>

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