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

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  • Ninni Singh

    (University of Petroleum and Energy Studies, Dehradun, India)

  • Neelu Jyothi Ahuja

    (University of Petroleum and Energy Studies, Dehradun, India)

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.

Suggested Citation

  • Ninni Singh & Neelu Jyothi Ahuja, 2019. "Bug Model Based Intelligent Recommender System with Exclusive Curriculum Sequencing for Learner-Centric Tutoring," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 14(4), pages 1-25, October.
    • Handle: RePEc:igg:jwltt0:v:14:y:2019:i:4:p:1-25
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    Cited by:

    1. Ninni Singh & Vinit Kumar Gunjan & Amit Kumar Mishra & Ram Krishn Mishra & Nishad Nawaz, 2022. "SeisTutor: A Custom-Tailored Intelligent Tutoring System and Sustainable Education," Sustainability, MDPI, vol. 14(7), pages 1-24, March.

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