Extracting prerequisite relations among concepts from the introduction of online courses
33rd International Conference on Software Engineering and Knowledge Engineering, SEKE 2021
; 2021-July:375-380, 2021.
Article
in English
| Scopus | ID: covidwho-1404150
ABSTRACT
Affected by the COVID-19 pandemic, teaching tasks have gradually shifted from offline to online, which expanded online education resources unprecedentedly. “Concept” is a professional vocabulary in the curriculum. Exploring the prerequisite relations among concepts is of great significance to educational planning. This research extracts concepts from online course introduction and proposes a mixed method for extracting concept prerequisite relations. Experiments on public data set show that this method outperforms existing ones. Tests were also carried out on the datasets of eleven schools, which proves that this model has good scalability. © 2021 Knowledge Systems Institute Graduate School. All rights reserved.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
33rd International Conference on Software Engineering and Knowledge Engineering, SEKE 2021
Year:
2021
Document Type:
Article
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