Utilizing Learning Analytics to Support Study Success (Hardcover, 1st ed. 2019)

Students often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students' decisions to leave their institutions prior to degree completion. Advances in educational technology and the current availability of vast amounts of educational data make it possible to represent how students interact with higher education resources, as well as provide insights into students' learning behavior and processes. This volume offers new research in such learning analytics and demonstrates how they support students at institutions of higher education by offering personalized and adaptive support of their learning journey. It focuses on four major areas of discussion: * Theoretical perspectives linking learning analytics and study success. * Technological innovations for supporting student learning. * Issues and challenges for implementing learning analytics at higher education institutions. * Case studies showcasing successfully implemented learning analytics strategies at higher education institutions. Utilizing Learning Analytics to Support Study Success ably exemplifies how educational data and innovative digital technologies contribute to successful learning and teaching scenarios and provides critical insight to researchers, graduate students, teachers, and administrators in the general areas of education, educational psychology, academic and organizational development, and instructional technology.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	2019
First published:	2019
Editors:	Dirk Ifenthaler • Dana-Kristin Mah • Jane Yin-Kim Yau
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	328
Edition:	1st ed. 2019
ISBN-13:	978-3-319-64791-3
Categories:	Books > Social sciences > Education > Teaching skills & techniques Books > Social sciences > Education > Educational resources & technology > General
LSN:	3-319-64791-1
Barcode:	9783319647913

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