| Author(s) | Dirk Ifenthaler, Dana-Kristin Mah, Jane Yin-Kim Yau |
 | Year | 2019 |
 | Pages | 341 |
 | Language | English |
 | Format | PDF |
 | Size | 7 MB
|
 | Publisher | Springer |
 | ISBN | 3319647911, 978-3319647913, B07FMSV6R1 |
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.
