Utilizing learning analytics to support study success

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Special Collection:e-book
Format: Book
Language:English
Published: Cham : Springer International Publishing Imprint: Springer, 2019
Edition:1st ed. 2019.
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Online Access:https://doi.org/10.1007/978-3-319-64792-0
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245 0 0 |a Utilizing learning analytics to support study success  |c edited by Dirk Ifenthaler, Dana-Kristin Mah, Jane Yin-Kim Yau 
250 |a 1st ed. 2019. 
260 |a Cham  |b Springer International Publishing  |b Imprint: Springer  |c 2019 
300 |a XXIV, 328 p.  |b 47 ill., 24 ill. színes ; online forrás 
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505 0 |a Part I: Theoretical perspectives linking learning analytics and study success -- Part II: Technological innovations for supporting student learning -- Part III: Issues and challenges for implementing learning analytics at higher education institutions -- Part IV: Case studies showcasing successfully implemented learning analytics strategies at higher education institutions -- Index of Subjects and Topics. 
520 |a 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. . 
580 |a Nyomtatott kiadás: ISBN 9783319647913 
580 |a Nyomtatott kiadás: ISBN 9783319647937 
506 |a Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. 
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595 |a e-book 
650 0 4 |a tanulás  |x felsőoktatás  |x kutatás  |x módszertan 
650 0 |a Educational technology. 
650 0 |a Learning 
650 0 |a Instruction 
653 |a elektronikus könyv 
700 1 |a Ifenthaler, Dirk  |e szerkesztő 
700 1 |a Mah, Dana-Kristin  |e szerkesztő 
700 1 |a Yau, Jane Yin-Kim  |e szerkesztő 
710 2 |a SpringerLink (Online service)  |e közreadó testület 
856 4 0 |y Online változat  |u https://doi.org/10.1007/978-3-319-64792-0 
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264 1 |a Cham  |b Springer International Publishing  |b Imprint: Springer  |c 2019