Assessment personalization in the Semantic Web

Issue title: Intelligent Systems and Knowledge Management

Guest editors: D.N. Kanellopoulos, S.B. Kotsiantis and P. Pintelas

Article type: Research Article

Authors: Cheniti-Belcadhi, Lilia^{a; *} | Henze, Nicola^b | Braham, Rafik^a

Affiliations: [a] PRINCE Research Group, ISITC, University of Sousse, Sousse, Tunisia | [b] IVS-Semantic Web Group, University of Hannover, Hannover, Germany

Correspondence: [*] Corresponding author. Tel.: +216 98 535 638; Fax: +216 73 364 411; E-mail: [email protected].

Abstract: The work described in this paper relates to the formal description, implementation and use of a web-based personalized assessment system. The assessment techniques are formalized with First Order Logic rules which are able to reason over resources annotated with Semantic Web metadata formats according to LOM and IMS/ QTI standards. They were tested using TRIPLE, a rule-based language for the Semantic Web. We also describe the service-based architecture, which was implemented as part of the Personal Reader Framework. Personalization functionalities are available as web services that communicate via Semantic Web technologies without the need for centralized control. Appropriate assessment resources are searched after checking the learner's last saved performance. We illustrate this system with an object oriented programming course taken by students in our university.

Keywords: Distance learning, ontology design, predicate logic, personalization, self-assessment, Web Service, Semantic Web

DOI: 10.3233/JCM-2008-8302

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 8, no. 3, pp. 163-182, 2008