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AI-Driven Adaptive MCQ Platform: Revolutionizing Knowledge Assessment and Analytics Across Domains

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Last date : 26-Jun-2026

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AI-Driven Adaptive MCQ Platform: Revolutionizing Knowledge Assessment and Analytics Across Domains


Janvi Thakur



Janvi Thakur "AI-Driven Adaptive MCQ Platform: Revolutionizing Knowledge Assessment and Analytics Across Domains" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025, pp.963-970, URL: https://www.ijtsrd.com/papers/ijtsrd79714.pdf

Rise of Artificial Intelligence is transforming knowledge testing in different regions. This research describes an AI adaptive multiple-choice question platform that aspires to change knowledge testing and evaluation. The platform is intended to be utilized in both professional and non-professional sectors and employs an ‘intelligent user model’ that enables automated dynamic assessments based on user’s achievement. Using AI, the platform improves the relevance of the users’ evaluations by ensuring the assessments are appropriate for the user’s expertise level. In addition, it gives assessments in real time meaning that it provides important information regarding performance patterns, knowledge deficits, and learning trends in a timely manner. The merge of intelligent analytics with adaptive assessment strategies improves the quality of evaluation and the experiences of participants in the assessment thus changing the way evaluation practices are conducted. The effectiveness of the platform in improving knowledge evaluation in different sectors is discussed in terms of design, functionality, and anticipated outcomes.

AI-Driven MCQ Platform, Adaptive Assessments, Knowledge Evaluation, Machine Learning in Education, Personalized Learning, Dynamic Assessment, Educational Analytics.


IJTSRD79714
Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025
963-970
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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