Title
Learning Analytics for Monitoring Students Participation Online: Visualizing Navigational Patterns on Learning Management System.
Abstract
With the increasing use of blended learning approaches in classroom, various kinds of technologies are incorporated to provide digital teaching and learning resources to support students. These resources are often centralized in learning management systems (LMSs), which also store valuable learning data of students. The data could assist teachers in their pedagogical decision making but they are often not well utilized. This paper proposes the use of data mining and visualization techniques as learning analytics to provide a more comprehensive overview of students' learning online based on log data from LMSs. The focus of this study is the discovery of frequent navigational patterns by sequential pattern mining techniques and the demonstration of how presentation of patterns through hierarchical clustering and sunburst visualization could facilitate the interpretation of patterns. The data in this paper were collected from a blended statistics course for undergraduate students.
Year
DOI
Venue
2017
10.1007/978-3-319-59360-9_15
BLENDED LEARNING: NEW CHALLENGES AND INNOVATIVE PRACTICES, ICBL 2017
Keywords
DocType
Volume
Learning analytics,Blended learning,Sequential pattern mining,Hierarchical clustering,Navigational pattern,LMS,Moodle
Conference
10309
ISSN
Citations 
PageRank 
0302-9743
1
0.39
References 
Authors
0
5
Name
Order
Citations
PageRank
Leonard K. M. Poon19410.96
Siu-Cheung Kong210.39
Thomas S. H. Yau320.82
Michael Y. W. Wong420.82
Man Ho Ling510.39