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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16178
Title: Advanced Intelligent Tutoring Systems: Featuring the Learning Management Systems of the Future
Authors: Rohil, Mukesh Kumar
Keywords: Computer Science
Machine learning (ML)
Learning Management Systems
Issue Date: 2024
Publisher: Springer
Abstract: An Intelligent Tutoring System (ITS) is employed with two goals in mind: (1) to deliver one-on-one smart teaching guidance that is superior to standard computer-assisted education and a skilled human instructor, and (2) to establish appropriate guidelines for designing and evaluating models of the academic process. The “intelligence” of an ITS is derived from the use of artificial intelligence techniques in four interacting components, namely (1) the knowledge base (to represent and manipulate domain knowledge), (2) the student's model (to represent student's current academic state), (3) Pedagogical Model (to incorporate and use the teaching strategies), and (4) User Interface Model (to make the system usable, and to establish effective communication between the user and the system). On the other hand, a Learning Management System (LMS), an online (may be web-based)-integrated software, is used for creating, delivering, tracking, and reporting educational courses or training resources and also helps in assessing their outcomes. In this paper, we discuss various existing Intelligent Tutoring Systems and systematically present the comparison of an ITS with a LMS. We emphasise that the ITS usage should be encouraged because of number of advantages, including improving both the learning curve and the learning experience, associated with an ITS over an LMS.
URI: https://link.springer.com/chapter/10.1007/978-981-99-7954-7_41
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16178
Appears in Collections:Department of Computer Science and Information Systems

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