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Responsible Analytics and Data Mining in Education

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academic data governance
Adaptive Learning Systems
Amir M. Golan
Badrul H. Khan
Barbara Filipczyk
Big Data
Bruce Scharlau
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Christopher R. Stevens
cybersecurity
data analysis
Data Mining
data-based decision-making
data-driven errors
Dhana L. Rao
Didem Tufan
Distributed Ledger Technology
e-learning
E-Learning Framework
Early Alert Systems
EDM
Educational Data
educational data privacy
educational technology policy
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eq_society-politics
ethical data practices
ethical decision making in education
Fitbit Charge
George D. Magoulas
Grzegorz Filipczyk
Gwen White
Hataichanok Saevanee
High Performance Computing
information and communication technology
Information Visualization
institutional management
interface design
Joanna Paliszkiewicz
Joseph Rene Corbeil
Junhua Ding
Kevin Stelfox
Konstantinos Karoudis
Krzysztof Kania
Learning Analytics
Learning Analytics Applications
learning analytics ethics
Learning Analytics Research
learning technologies
Linda Harasim
Marcia Ham
Maria Elena Corbeil
Maria Elena Valdes-Corbeil
Mark E. Deschaine
Missing Data
MOOC Context
Multiple Linear Regression
Nonnegative Matrix Factorization
Online Week
Paul Prinsloo
progam evaluation
Rachel Shanks
Ray Francis
Responsible Analytics and Data Mining in Education
Rick Voithofer
Robert L. Moore
Sensitive Information
Sharon Slade
Smart Contracts
Soner Yildirim
student data protection
Student Engagement
Sue Ann Sharma
Support Vector Machines
Todd L. Wirth
Unsupervised Machine Learning
Venkat N. Gudivada
Vice Versa
web-based instruction

Product details

  • ISBN 9781138305885
  • Weight: 566g
  • Dimensions: 152 x 229mm
  • Publication Date: 11 Dec 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

Winner of two Outstanding Book Awards from the Association of Educational Communications and Technology (Culture, Learning, & Technology and Systems Thinking & Change divisions)! 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. Responsible Analytics and Data Mining in Education 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.
About

Badrul H. Khan is Founder of McWeadon Education, a professional development institution. He previously served as Founding Director of the Educational Technology Leadership (ETL) graduate cohort program at The George Washington University, USA, Founding Director of the Educational Technology (ET) graduate program at The University of Texas, Brownsville, USA, and Instructional Designer and Evaluation Specialist in the School of Medicine at Indiana University, Indianapolis, USA. You can find more about Dr. Khan at http://badrulkhan.com.

Joseph Rene Corbeil is Professor of Teaching and Learning, Coordinator for the Master of Education in Educational Technology, and Lead Faculty for Educational Technology Specialization for the Doctor of Education at The University of Texas Rio Grande Valley, USA.

Maria Elena Corbeil is Associate Professor in the College of Education and P-16 Integration at The University of Texas Rio Grande Valley, USA.