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Autor/inn/enDeb, Kaustuv; Banerjee, Sonali; Das, Atanu; Bag, Rajib
TitelTutorial Gap Identification towards Student Modeling Using Fuzzy Logic
QuelleIn: International Journal of Information and Communication Technology Education, 15 (2019) 3, S.30-41, Artikel 3 (12 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1550-1876
DOI10.4018/IJICTE.2019070103
SchlagwörterIntelligent Tutoring Systems; Automation; Identification; Multiple Choice Tests; Mathematical Logic; Outcome Based Education; Engineering Education; College Students; Inferences
AbstractTutorial requirements of student modeling are traditionally identified by human tutors through crisp mental calculations, and the accuracy of this identification enhances with the experience of the tutor. These identifications become challenging when the mode of delivery is through e-learning. Automatic identification of tutorial requirements must be included in e-learning through ITS where some intelligent computational paradigms can help in automatic identification of the said requirements. This article proposes some fuzzy logic-based techniques toward the said purpose of automatic tutorial gap identification where analysis of the learner's responses to purposefully designed modular MCQ tests and verbal explanations are taken in to consideration as inputs for the purpose. Variation of the fuzzy logics was taken in to account to justify the usefulness of methods under consideration and to provide a realistic and adaptable approach. The experimental results show that the proposed methods are successful and efficient towards the said purpose. (As Provided).
AnmerkungenIGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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