Automating the Mapping of Course Learning Outcomes to Program Learning Outcomes Using Natural Language Processing for Accurate Educational Program Evaluation

Autor/inn/en	Zaki, Nazar; Turaev, Sherzod; Shuaib, Khaled; Krishnan, Anusuya; Mohamed, Elfadil
Titel	Automating the Mapping of Course Learning Outcomes to Program Learning Outcomes Using Natural Language Processing for Accurate Educational Program Evaluation
Quelle	In: Education and Information Technologies, 28 (2023) 12, S.16723-16742 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Zaki, Nazar)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1360-2357
DOI	10.1007/s10639-023-11877-4
Schlagwörter	Program Evaluation; Outcomes of Education; Natural Language Processing; Higher Education; Automation; Concept Mapping; Accuracy + Suchen Sie Ihr Suchwort? Programme evaluation; Programmevaluation; Lernleistung; Schulerfolg; Natürliche Sprache; Hochschulbildung; Hochschulsystem; Hochschulwesen; Concept Map
Abstract	Quality control and assurance plays a fundamental role within higher education contexts. One means by which quality control can be performed is by mapping the course learning outcomes (CLOs) to the program learning outcomes (PLO). This paper describes a system by which this mapping process can be automated and validated. The proposed AI-based system automates the mapping process through the use of natural language processing. The framework underwent testing using two actual datasets from two educational programs, and the findings were promising. A testament to the potential of the suggested framework was the precision of the mapping detected (83.1% and 88.1% for the two programs, respectively) compared to the mapping performed by the domain experts. A web-based tool was created to help teachers and administrators execute automatic mappings (https://dsaluaeu.github.io/mapper.html). The data and software used in this research project can be found at the following URL: https://github.com/nzaki02/CLO-PLO. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01