Development of an ontology-based adaptive personalized e-learning system

• Autorzy: Boyinbode Olutayo , Olotu Paul , Akintola Kolawole

Identyfikatory

DOI

10.23743/acs-2020-30

• Języki publikacji: EN

Abstrakty

EN

E-learning has fast become an active field of research with a lot of investments towards web-based delivery of personalized learning contents to learners. Some issues of e-learning arise from the heterogeneity and interoperability of learning content adapting to learner's styles and preferences. This has brought about the development of an ontology-based personalized learning system to solve this problem. This research developed an ontology-based personalized e-learning system that presents suitable learning contents to learners based on their learning style, preferences, background knowledge, and personal profile.

Słowa kluczowe

EN

Felder-Silverman Learning Style Model; item response theory; ontology; learning ability; difficulty level

PL

model Feldera-Silvermana; teoria odpowiedzi na pytania; ontologia; zdolność uczenia się; poziom trudności

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2020
• Tom: Vol. 16, no 4
• Strony: 64--84
• Opis fizyczny: Bibliogr. 18 poz., fig., tab.

Twórcy

autor

Boyinbode Olutayo

• The Federal University of Technology, School of Computing, Department of Information Technology, FUTA Rd, Akure, Nigeria

autor

Olotu Paul

• The Federal University of Technology, School of Computing, Department of Information Technology, FUTA Rd, Akure, Nigeria

autor

Akintola Kolawole

• The Federal University of Technology, School of Computing, Department of Information Technology, FUTA Rd, Akure, Nigeria

Bibliografia

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