Bug Model Based Intelligent Recommender System with Exclusive Curriculum Sequencing for Learner-Centric Tutoring

Autor/inn/en	Singh, Ninni; Ahuja, Neelu Jyothi
Titel	Bug Model Based Intelligent Recommender System with Exclusive Curriculum Sequencing for Learner-Centric Tutoring
Quelle	In: International Journal of Web-Based Learning and Teaching Technologies, 14 (2019) 4, S.1-25, Artikel 1 (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1548-1093
DOI	10.4018/IJWLTT.2019100101
Schlagwörter	Intelligent Tutoring Systems; Sequential Learning; Student Centered Learning; Curriculum Design; Cognitive Style; Prior Learning; Individualized Instruction; Models; Foreign Countries; Undergraduate Students; Young Adults; Achievement Gains; Knowledge Level; India + Suchen Sie Ihr Suchwort? Intelligentes Tutorsystem; Didaktische Sequenzierung; Lernsequenz; Group work; Student-entered learning; Student-centred learning; Student centred learning; Schülerorientierter Unterricht; Schülerzentrierter Unterricht; Gruppenarbeit; Lehrplangestaltung; Cognitive styles; Kognitiver Stil; Vorkenntnisse; Individualisierender Unterricht; Analogiemodell; Ausland; Young adult; Junger Erwachsener; Achievement gain; Leistungssteigerung; Wissensbasis; Indien
Abstract	Face-to-face human tutoring in classroom environments amply facilitates human tutor-learner interactions wherein the tutor gets opportunity to exercise his cognitive intelligence to understand learner's pre-knowledge level, learning pattern, specific learning difficulties, and be able to offer course content well-aligned to the learner's requirements and tutor in a manner that best suits the learner. Reaching this level in an intelligent tutoring system is a challenge even today given the advanced developments in the field. This article focuses on ITS, mimicking a human tutor in terms of providing a curriculum sequence exclusive for the learner. Unsuitable courseware disorients the learner and thus degrades the overall performance. A bug model approach has been used for curriculum design and its re-alignment as per requirements and is demonstrated through a prototype tutoring recommender system, SeisTutor, developed for this purpose. The experimental results indicate an enhanced learning gain through a curriculum recommender approach of SeisTutor as opposed to its absence. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01