Supporting online video learning with concept map-based recommendation of learning path

Chien Lin Tang, Jingxian Liao, Hao Chuan Wang, Ching Ying Sung, Yu Rong Cao, Wen-Chieh Lin

研究成果: Conference contribution同行評審

7 引文 斯高帕斯(Scopus)

摘要

People increasingly use online video platforms, e.g., YouTube, to locate educational videos to acquire knowledge or skills to meet personal learning needs. However, most of existing video platforms display video search results in generic ranked lists based on relevance to queries. These relevance-based information display does not take into account the inner structure of the knowledge domain, and may not suit the need of online learners. In this paper, we present ConceptGuide, a prototype system for learning orientations to support ad hoc online learning from unorganized video materials. ConceptGuide features a computational pipeline that performs content analysis on the transcripts of YouTube videos queried by the user and generates concept-map-based visual recommendations of conceptual and content links between videos, forming learning pathways to provide structures feasible and usable for learners to consume.

原文English
主出版物標題CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
發行者Association for Computing Machinery
ISBN(電子)9781450368193
DOIs
出版狀態Published - 25 4月 2020
事件2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States
持續時間: 25 4月 202030 4月 2020

出版系列

名字Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
國家/地區United States
城市Honolulu
期間25/04/2030/04/20

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