International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

Intelligent Tutoring and Counselling Systems in Education: A Comprehensive Review of AI- Driven Personalized Learning and Career Guidance.

Author(s) Ms. Paavani Bargoti, Ms. Esha Vasale, Mr. Jaitirth Marathe, Dr. Sandeep Kulkarni
Country India
Abstract Intelligent Tutoring System (ITS) and AI-based counselling systems, as the result of Artificial Intelligence (AI) application in education, are designed to help improve the efficiency of the teaching and learning processes. This technology has been applied in these systems to deliver adaptive instruction, personalized feedback, and informed career guidance using machine learning, natural language processing, learning analytics, and predictive modelling. Intelligent Tutoring Systems emulate the human tutoring process by adapting learning plans according to the performance of the students whereas AI-based counselling systems are used in assisting them make academic, emotional and career related decisions. This paper presents an in-depth overview of AI-based educational technologies, conversational agents, and emotional AI, and how they facilitate the functions of enhancing student engagement, learning outcomes, and decision support.
Nonetheless, the introduction of these systems is also associated with multiple problems such as issues with data security, ethical concerns, bias in algorithms, and emotional intelligence restriction. Moreover, existing systems tend to be in separated mode and there is no integration of tutoring and counselling features and hence, student fragmentation in the system. In this paper, the research gaps that are identified are explainable AI, greater emotional adaptability and the application of real-time and multimodal data to make correct predictions. The paper concludes that the educational system in the future ought to be directed to creating all- encompassing, clear, and scalable AI-driven solutions that would offer comprehensive support to learners at academic, emotional, and professional levels
Keywords Intelligent Tutoring Systems, Artificial Intelligence, Personalized Learning, AI- Based Counselling Systems, Conversational AI, Emotional AI, Educational Data Mining.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-04-05
DOI https://doi.org/10.36948/ijfmr.2026.v08i02.73169

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