The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Learning Analytics
Abstract
Reinforcement of technology-enhanced education transformed education into a data-intensive domain. As in many other data-intensive domains, the interest for data analysis through various analytics is growing. The chapter starts by defining learning analytics (LA), with relevant views on the literature. A discussion about the relationships between LA, educational data mining, and academic analytics is included in the background section. In the main section of the chapter, the learning analytics, as an emerging trend in the educational systems is described by discussing the main issues, controversies, and problems on this topic. The final part of the chapter presents the future research directions and the conclusion.
Related Content
|
Mohammed Banu Ali.
© 2021.
19 pages.
|
|
Arunava Ghosh, Tuhin Sengupta, Amit K. Srivastava.
© 2021.
17 pages.
|
|
Jinnie Shin, Qi Guo, Mark J. Gierl.
© 2021.
11 pages.
|
|
Madhavi Arun Vaidya, Meghana Sanjeeva.
© 2021.
20 pages.
|
|
Qi Guo, Ying Cui, Jacqueline P. Leighton, Man-Wai Chu.
© 2021.
17 pages.
|
|
Aleksandra Mreła, Oleksandr Sokolov.
© 2021.
24 pages.
|
|
Nagayuki Saito, Madoka Aragaki.
© 2021.
15 pages.
|
|
|