Responsible analytics and data mining in education : global perspectives on quality, support, and decision-making / edited by Badrul H. Khan, Joseph Rene Corbeil, Maria Elena Corbeil.
Contributor(s): Khan, Badrul H [editor.] | Corbeil, Joseph Rene [editor.] | Corbeil, Maria Elena [editor.].
New York ; London : Routledge, Taylor & Francis Group, ©2019Description: xxvi, 291 pages : illustrations ; 23 cm.ISBN: 9781138305908 (pbk).Subject(s): Education -- Data processing | Education -- Research -- Statistical methods | Education -- Decision making | Data mining | Educational planningDDC classification: 371.334 R31 2019| Item type | Current location | Collection | Call number | Status | Date due | Barcode |
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Books
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College Library General Circulation Section | GC | GC 371.334 R31 2019 (Browse shelf) | Available | HNU002946 |
Includes bibliographical references and index
Part I. Introduction --
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 --
Part II. 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 L. Moore --
Learning about learning online : the methodology of discourse analytics / Linda Harasim --
Part III. 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 --
Part IV. 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 --
Part V. Management and institutional issues --
Contingency planning for data breaches / Christopher R. Stevens and Todd L. Wirth --
Minimizing data errors through reflective process and knowledge management structures / Mark E. Deschaine, Ray Francis, and Sue Ann Sharma.
Responsible Analytics and Data Mining in Education addresses the thoughtful and purposeful navigation, evaluation, and implementation of these emerging forms of educational data analysis.
College of Education Bachelor of Secondary Education major in Science
College of Education General Education Curriculum (GEC)
College of Education Graduate Studies Master of Arts in Education Major in Elementary Science Teaching
College of Education Graduate Studies Master of Arts in Education Major in Teaching Elementary School Subjects
College of Education Graduate Studies Master of Arts in Education Major in Teaching Secondary School Subjects
Text in English
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