Responsible analytics and data mining in education : global perspectives on quality, support, and decision-making / editors, Badrul H. Khan, Joseph Rene Corbeil, Maria Elena Corbeil.Material type: TextPublisher: New York, NY : Routledge, c2019Description: xxvi, 291 pages : illustrations ; 23 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781138305885 (hbk); 9781138305908 (pbk)Subject(s): Education -- Data processing | Education -- Research -- Statistical methods | Education -- Decision making | Data mining | Educational planningLOC classification: LB 1028.43 | .R31 2019
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|Books||DLSU-D GRADUATE STUDIES Graduate Studies||Graduate Studies||LB 1028.43 .R31 2019 (Browse shelf)||1||Available||3CIR2019067882|
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|LB 1028.38 .C332 2019 Real world instructional design : an iterative approach to designing learning experiences /||LB 1028.38 .G122 2005 Principles of instructional design /||LB 1028.43 .F749 1996 The computer as a productivity tool in education /||LB 1028.43 .R31 2019 Responsible analytics and data mining in education : global perspectives on quality, support, and decision-making /||LB 1028.46 .B457 2013 Data analysis for continuous school improvement /||LB 1028.46 .P785 1997 Education for an information age :||LB 1028.5 .Ed83 1996 Education and technology :|
Includes bibliographical references and index.
A framework for implementing responsible data mining and analytics in education / Maria Elena Corbeil, Joseph Rene Corbeil, and Badrul H. Khan -- Evolution and facets of data analytics for educational data mining and learning analytics / Venkat Gudivada, Dhana L. Rao, and Junhua Ding -- Historical and theoretical perspectives of data analytics and data mining in education / Didem Tufan and Soner Yildirim -- Mapping responsible learning analytics : a critical proposal / Paul Prinsloo and Sharon Slade -- Pedagogical and interface design issues -- Data sources for educators : mining meaningful data for course and program decision making / Rick Voithofer and Amir Golan -- The role of data analytics in education : possibilities & limitations / Robert Moore -- Learning about learning online : the methodology of discourse analytics / Linda Harasim -- Technological and resource support issues -- Supporting data analytics in education : human and technical resources for collecting, storing, analyzing, and mining data / Dhana L. Rao, Junhua Ding, and Venkat N. Gudivada -- User model interoperability in education : sharing learner data using the experience API and distributed ledger technology / Konstantinos Karoudis and George D. Magoulas -- Human and technological resources needed to develop and sustain a city-wide educational data observatory / Rachel Shanks, Bruce Scharlau, Hataichanok Saevanee, and Kevin Stelfox -- Evaluation and ethical issues -- Assessing data quality : determining what data to trust and use / Barbara Filipczyk, Krzysztof Kania, Grzegorz Filipczyk, and Joanna Paliszkiewicz -- Ethical issues and potential unintended consequences of data-based decision making / Rick Voithofer and Marcia Ham -- The application of ethical themes for responsible data-driven decision making in education / Gwen White -- Management and institutional issues -- Contingency planning for data breaches / Christopher Stevens and Todd Lindsay Wirth -- Minimizing data errors through reflective process and knowledge management structures / Mark E. Deschaine, Raymond W. Francis, and Sue Ann Sharma.
Rapid advancements in our ability to collect, process, and analyze massive amounts of data along with the widespread use of online and blended learning platforms have enabled educators at all levels to gain new insights into how people learn. This book addresses the thoughtful and purposeful navigation, evaluation, and implementation of these emerging forms of educational data analysis. Chapter authors from around the world explore how data analytics can be used to improve course and program quality; how the data and its interpretations may inadvertently impact students, faculty, and institutions; the quality and reliability of data, as well as the accuracy of data-based decisions; ethical implications surrounding the collection, distribution, and use of student-generated data; and more. This volume unpacks and explores this complex issue through a systematic framework whose dimensions address the issues that must be considered before implementation of a new initiative or program. -- From the Publisher