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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21686
Article Published : 8549
Total Authors : 22487
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| Paper Title: | Developing an Adaptive Recommendation System for Personalized Lear |
| Authors Name: | ARCHISMAN GUHA , DIPAYAN BAKSHI |
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IJRTI_203963
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| Published Paper Id: | IJRTI2505189 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | The increasing diversity of learners in modern educational systems necessitates personalized approaches to content delivery. This paper proposes an adaptive recommendation system for personalized learning, integrating advanced machine learning techniques to tailor educational resources—such as tutorials, quizzes, and courses—to individual learner profiles. By combining collaborative filtering (CF), content-based filtering (CBF), and a hybrid model, the system dynamically adapts to learners’ goals, prior knowledge, performance metrics, and preferences using real-time feedback loops. Evaluated on a simulated dataset of 1,500 learners and 750 resources, the hybrid model achieved a precision of 0.81, recall of 0.78, and learner satisfaction of 4.4/5, outperforming standalone CF and CBF approaches. Furthermore, learners using the system demonstrated a 28% improvement in learning outcomes compared to a 16% improvement with non-personalized content over a 12-week simulation. This research advances educational technology by offering a scalable, data-driven framework for personalization, addressing challenges such as cold starts, scalability, and learner diversity, with implications for K-12, higher education, and professional training environments. |
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| Cite Article: | "Developing an Adaptive Recommendation System for Personalized Lear", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.b773-b786, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505189.pdf |
| Downloads: | 000431 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2505189
Registration ID:203963
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: b773-b786 Country: KOLKATA, West Bengal, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505189 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505189 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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