Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{196177,
author = {Pranjal Vijay Chavan and Richa Prashant Jadyal and Tanvi Sandip Dagade and Tanvi Sandip Gadage and Prof. Vidya Bharde},
title = {THINK SMART: EMPOWERING STUDENT GROWTH WITH INTELLIGENT LEARNING USING DEEP LEARNING},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {2613-2620},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=196177},
abstract = {The fast growth of digital education platforms has greatly increased access to learning opportunities around the world. However, most existing systems do not offer personalized learning experiences made for individual needs. Popular platforms like Coursera, edX, Byju’s, and Khan Academy mainly provide structured content that doesn't adjust to a learner's pace, engagement level, or learning style. To solve this issue, this paper gives Think Smart, an intelligent learning system that uses deep learning techniques to provide personalized educational content and adaptive assessments. The system watches how a student learns and how well they are doing, then instantly changes the lessons to be easier or harder. By combining intelligent learning with predictive analytics, the system aims to improve student understanding, holding, and overall academic growth. Experimental findings show that this approach growing learner engagement and offers a more customized experience compared to traditional e-learning platforms.},
keywords = {Intelligent Learning, Personalized Education, Deep Learning, Adaptive Assessment, Predictive Analytics, E-Learning Platforms.},
month = {April},
}
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