Effective Intelligent Tutoring System: Integrating Advances in Cognitive Modeling, Personalized Instruction and Evaluation

Dr. Priti Khodke , Dr. Kiran A. Dongre

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.

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.

Published Paper   E-Certificate

"Effective Intelligent Tutoring System: Integrating Advances in Cognitive Modeling, Personalized Instruction and Evaluation", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.c445-c451, March-2023, Available :https://ijnrd.org/papers/IJNRD2303256.pdf

Volume 8 Issue 3, March-2023

Pages : c445-c451

Paper Reg. ID: IJNRD_189057

Published Paper Id: IJNRD2303256

Downloads: 000118844

Research Area: Computer Science & Technology 

Country: Badnera - Amravati, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303256

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303256

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition