Title :
A Framework of E-Learning Analytics for Asynchronous Discussion Forums
Author_Institution :
Dept. of Manage. & Inf., N.O.U., Taipei, Taiwan
Abstract :
In this research, we developed a framework of e-learning analytics for asynchronous forums. The framework has been used to collect data and to compute indicators for analyzing the teaching style and behavioral patterns of online asynchronous interaction. The result helps us get a deeper insight into the dynamics of a discussion forum. The value of the e-learning analytics framework has been verified by empirical results.
Keywords :
computer aided instruction; teaching; asynchronous discussion forums; behavioral patterns; e-learning analytics; online asynchronous interaction; teaching style; Collaborative work; Computers; Data mining; Discussion forums; Electronic learning; Message systems; asynchronous discussion forums; collaborative learning; e-learning; learning analytics;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on
Conference_Location :
Beijing
DOI :
10.1109/ICALT.2013.12
