Toward a better self-regulation: degree of certainty through fuzzy logic in a formative assessment. Issue 2 (May 2016)

• Record Type: Journal Article
• Authors: Naji, A.; Ramdani, M.
• Is Part Of: AI & society. Volume 31:Issue 2(2016:May)
• Page Start: 259
• Page End: 264
• Publication Date: 2016-05
• Subjects: ILE -- QCM -- Degree of certainty -- QCM-FDC -- Assessment -- Self-adjustment -- Fuzzy logic; Artificial intelligence -- Periodicals; 006.3
• DOI: 10.1007/s00146-015-0586-7
• Languages: English
• ISSNs: 0951-5666

Abstract

Abstract In the present paper, we plan to introduce a new procedure for learner's assessment in the learning environment in a way true to reality by using fuzzy logic. In this evaluation, learner's responses are accompanied by a degree of certainty expressed by him. This method allows detection of problems encountered by the learner and also to fix the concepts mastered and those that are not. It is a diagnostic procedure that improves the process of content adaptation and self-adjustment on the one hand and makes the knowledge model clearly interpretable and more understandable to learner and tutor/teacher/head teacher on the other hand.