Students' Competencies Discovery and Assessment Using Learning Analytics and Semantic Web

Autor/inn/en	Halimi, Khaled; Seridi-Bouchelaghem, Hassina
Titel	Students' Competencies Discovery and Assessment Using Learning Analytics and Semantic Web
Quelle	In: Australasian Journal of Educational Technology, 37 (2021) 5, S.77-97 (21 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Halimi, Khaled)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1449-5554
Schlagwörter	Performance Based Assessment; Learning Analytics; Alternative Assessment; Student Evaluation; Semantics; Artificial Intelligence; Technology Uses in Education + Suchen Sie Ihr Suchwort? Leistungsermittlung; Schulnote; Studentische Bewertung; Semantik; Künstliche Intelligenz; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen
Abstract	Traditional content-based assessment systems, which depend on the score as a key criterion for students' evaluation, have proven to have many drawbacks, especially with the development of learning methods in recent years. Based on these developments, there is a need to adopt new assessment methods to assess the actual skills of students in the digital age. Therefore, the competency-based assessment approach is adopted in this paper to address the subject of students' competency modelling and discovery in technology-enhanced learning systems. This method of assessment is perfectly suited to modern teaching trends. The authors proposed an approach of assessment semantic analytics to be used for discovering and assessing students' competencies. This study notes that, all knowledge about students and their competencies has been modelled by semantic representations. Student's models have been subjected to a set of learning analytics approaches to analyse data generated by students' activities in order to discover their explicit and latent competencies hidden behind their activities. This experimental study indicates that the competency-based assessment approach is efficient and expected to show significant advantages in evaluating students' competencies. (As Provided).
Anmerkungen	Australasian Society for Computers in Learning in Tertiary Education. Ascilite Secretariat, P.O. Box 44, Figtree, NSW, Australia. Tel: +61-8-9367-1133; e-mail: info@ascilite.org.au; Web site: https://ajet.org.au/index.php/AJET
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01