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Book Cover
Author Khan, Badrul H

Title Responsible Analytics and Data Mining in Education : Global Perspectives on Quality, Support, and Decision-Making
Published Milton : Routledge, 2018
Online access available from:
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Description 1 online resource (319 pages)
Contents Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; Acknowledgments; About the Editors; Contributor Biographies; Foreword, Ben Kei Daniel; Preface; Organization of the Book; Purpose of the Book; PART I: Introduction; Chapter 1: A Framework for Implementing Responsible Data Mining and Analytics in Education; Introduction; A Framework for Analyzing Educational Issues; The Eight Dimensions of Khan's Learning Framework; Implementing the Learning Framework for Responsible Data Mining and Analytics in Education
Chapter 5: Data Sources for Educators: Mining Meaningful Data for Course and Program Decision MakingIntroduction; Structured and Unstructured Data; Learning Management Systems; Online Activity; Tests and Quizzes; Discussion Boards; Student Response Systems; Blog Posts; Email; Synchronous Chats; Media Production; Method for Analyzing Data in Education; Conclusions and Next Steps; Discussion Questions; Appendix A; References; Chapter 6: The Role of Data Analytics in Education: Possibilities and Limitations; Introduction; Khan's E-Learning Framework; The Pedagogical Dimension; Learning Analytics
Educational Data MiningText Mining; Data-Driven Decision Making; The Technological Dimension; Big Data; Machine Learning; The Interface Design Dimension; Dashboards; The Ethical Dimension; Key Issues; Student Concerns; Conclusion and Next Steps; Discussion Questions; References; Chapter 7: Learning about Learning Online: The Methodology of Discourse Analytics; Introduction; Background; The Core Principles of Collaborativism; How to Assess Student Participation?; Methodology of Online Discourse Analytics; Discourse Analysis Methodology; Quantitative Analysis; Qualitative Analysis
Key Works and Important ScholarsEvolution of the Field; Theoretical Discussion in EDM-LA Research; Conclusion; Discussion Questions; References; Chapter 4: Mapping Responsible Learning Analytics: A Critical Proposal; Introduction; What Makes a Proposal Critical?; Mapping the Contours of Responsible Learning Analytics; Khan's E-Learning Framework (2010) Through a Responsible and Response-able Lens; A Critical Proposal; (In)Conclusions and Next Steps; References; PART II: Pedagogical and Interface Design Issues
The Learning Framework as a Distillery for Large Volumes of Related DataSummary; Discussion Questions; References; Chapter 2: Evolution and Facets of Data Analytics for Educational Data Mining and Learning Analytics; Introduction; Genealogy of Data Analytics and its Applications; Facets of Data Analytics; Machine Learning and (Educational) Data Mining; Resources and Tools; Summary and Conclusions; Discussion Questions; References; Chapter 3: Historical and Theoretical Perspectives of Data Analytics and Data Mining in Education; Introduction; Background; EDM and LA and Related Key Events
Summary 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 theaccuracy 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
Notes Examples of Student-generated Discourse Analyses
Print version record
Subject Data mining.
Education -- Data processing.
Education -- Decision making
Education -- Research -- Statistical methods
Educational planning.
Badrul H. Khan.
Data mining.
EDUCATION -- Computers & Technology.
EDUCATION -- Distance Education & Learning.
Education -- Data processing.
Education -- Decision making.
Education -- Research -- Statistical methods.
Educational planning.
Joseph Rene Corbeil.
Maria Elena Valdes-Corbeil.
Responsible Analytics and Data Mining in Education.
data analysis.
data-based decision-making.
data-driven errors.
information and communication technology.
institutional management.
interface design.
learning technologies.
progam evaluation.
web-based instruction.
Form Electronic book
Author Corbeil, Joseph-Rene
Corbeil, Maria Elena
ISBN 020372870X