ConceptThread: Visualizing threaded concepts in MOOC videos

ConceptThread: Visualizing threaded concepts in MOOC videos

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...

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Bibliographic Details
Main Authors: ZHOU, Zhiguang, YE, Li, CAI, Lihong, WANG, Lei, WANG, Yigang, WANG, Yongheng, CHEN, Wei, Yong WANG
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Computer aided instruction
Concept map
Data mining
Data visualization
Education
Electronic learning
MOOC summarization
online learning
Videos
Visual analytics
visualization in education
Online and Distance Education
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/8655
https://ink.library.smu.edu.sg/context/sis_research/article/9658/viewcontent/2401.11132.pdf
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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