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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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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