Paper Title
Effective Intelligent Tutoring System: Integrating Advances in Cognitive Modeling, Personalized Instruction and Evaluation
Article Identifiers
: Authors
Keywords
Intelligent Tutoring System (ITS), cognitive modeling, personalized instruction, recommendation system, collaborative filtering, natural language processing, personalized feedback, assessment tools, motivational factors, affective factors, engagement, learning outcomes, continuous evaluation, data analysis.
Abstract
This paper proposes a model for implementing an Intelligent Tutoring System (ITS). The proposed model includes seven steps: identifying learning objectives and target audience, developing a cognitive model of the learning domain, implementing a recommendation system, providing timely and personalized feedback, integrating assessment and tutoring, considering motivational and affective factors, and continuously evaluating and improving the ITS. The model emphasizes the importance of tailoring the ITS to the specific needs and characteristics of the learners, using cognitive modeling to inform the design, and incorporating personalized feedback and assessment tools. The proposed model also considers motivational and affective factors that impact the learner's engagement and learning outcomes, and emphasizes the need for continuous evaluation and improvement of the ITS.
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How To Cite (APA)
Dr. Priti Khodke & Dr. Kiran A. Dongre (March-2023). Effective Intelligent Tutoring System: Integrating Advances in Cognitive Modeling, Personalized Instruction and Evaluation. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(3), c445-c451. https://ijnrd.org/papers/IJNRD2303256.pdf
Issue
Volume 8 Issue 3, March-2023
Pages : c445-c451
Other Publication Details
Paper Reg. ID: IJNRD_189057
Published Paper Id: IJNRD2303256
Downloads: 000122254
Research Area: Computer Science & TechnologyÂ
Author Type: Indian Author
Country: Badnera - Amravati, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2303256.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303256
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