Advancing the power of learning analytics and big data in education /

Saved in:
Bibliographic Details
Imprint:Hershey, PA : Information Science Reference, an imprint of IGI Global, [2021]
Description:1 online resource.
Language:English
Series:Advances in educational technologies and instructional design (AETID) book series
Advances in educational technologies and instructional design.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12545570
Hidden Bibliographic Details
Other authors / contributors:Azevedo, Ana, editor.
Azevedo, Jose Manuel, 1966- editor.
Uhomoibhi, J. O., editor.
Ossiannilsson, Ebba, 1953- editor.
ISBN:9781799871040
1799871045
9781799871033
9781799885658
Notes:Includes bibliographical references and index.
Description based on online resource; title from digital title page (viewed on April 19, 2021).
Other form:Print version: Advancing the power of learning analytics and big data in education Hershey, PA : Information Science Reference, an imprint of IGI Global, [2021] 9781799871033
Description
Summary:The term learning analytics is used in the context of the use of analytics in e-learning environments. Learning analytics is used to improve quality. It uses data about students and their activities to provide better understanding and to improve student learning. The use of learning management systems, where the activity of the students can be easily accessed, potentiated the use of learning analytics to understand their route during the learning process, help students be aware of their progress, and detect situations where students can give up the course before its completion, which is a growing problem in e-learning environments. Advancing the Power of Learning Analytics and Big Data in Education provides insights concerning the use of learning analytics, the role and impact of analytics on education, and how learning analytics are designed, employed, and assessed. The chapters will discuss factors affecting learning analytics such as human factors, geographical factors, technological factors, and ethical and legal factors. This book is ideal for teachers, administrators, teacher educators, practitioners, stakeholders, researchers, academicians, and students interested in the use of big data and learning analytics for improved student success and educational environments.
Physical Description:1 online resource.
Bibliography:Includes bibliographical references and index.
ISBN:9781799871040
1799871045
9781799871033
9781799885658