Publication Type
Journal Article
Version
acceptedVersion
Publication Date
1-2024
Abstract
Massive Open Online Courses (MOOCs) platforms are becoming increasingly popular in recent years. Online learners need to watch the whole course video on MOOC platforms to learn the underlying new knowledge, which is often tedious and time-consuming due to the lack of a quick overview of the covered knowledge and their structures. In this paper, we propose ConceptThread , a visual analytics approach to effectively show the concepts and the relations among them to facilitate effective online learning. Specifically, given that the majority of MOOC videos contain slides, we first leverage video processing and speech analysis techniques, including shot recognition, speech recognition and topic modeling, to extract core knowledge concepts and construct the hierarchical and temporal relations among them. Then, by using a metaphor of thread, we present a novel visualization to intuitively display the concepts based on video sequential flow, and enable learners to perform interactive visual exploration of concepts. We conducted a quantitative study, two case studies, and a user study to extensively evaluate ConceptThread . The results demonstrate the effectiveness and usability of ConceptThread in providing online learners with a quick understanding of the knowledge content of MOOC videos.
Keywords
Computer aided instruction, Concept map, Data mining, Data visualization, Education, Electronic learning, MOOC summarization, online learning, Videos, Visual analytics, visualization in education
Discipline
Online and Distance Education | Software Engineering
Research Areas
Intelligent Systems and Optimization
Publication
IEEE Transactions on Visualization and Computer Graphics
First Page
1
Last Page
17
ISSN
1077-2626
Identifier
10.1109/TVCG.2024.3361001
Publisher
Institute of Electrical and Electronics Engineers
Citation
ZHOU, Zhiguang; YE, Li; CAI, Lihong; WANG, Lei; WANG, Yigang; WANG, Yongheng; CHEN, Wei; and Yong WANG.
ConceptThread: Visualizing threaded concepts in MOOC videos. (2024). IEEE Transactions on Visualization and Computer Graphics. 1-17.
Available at: https://ink.library.smu.edu.sg/sis_research/8655
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Additional URL
https://doi.org/10.1109/TVCG.2024.3361001