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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 03

Published on: March 2026 2026

AN INTELLIGENT AI-DRIVEN COGNITIVE COMPUTING FRAMEWORK FOR ADAPTIVE SMART LEARNING ENVIRONMENTS WITH PERSONALIZED LEARNING ANALYTICS

N G Chaithra Achar Harish Kanchan Nirmala Shreekanth

Department of computer Applications Dr. B. B. Hegde First Grade College Kundapura Karnataka.

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

Artificial Intelligence has become a transformative technology in modern education by enabling intelligent and adaptive learning systems. This study proposes an AI-Enabled Cognitive Computing Framework for Smart Learning Environments aimed at enhancing personalized learning and improving student engagement. The proposed framework integrates cognitive computing techniques with machine learning algorithms to analyze learner behavior, academic performance, and interaction patterns within digital learning platforms.The system collects student learning data from various sources such as online learning management systems, quizzes, assignments, and classroom interactions. This data is processed using machine learning models to identify learning patterns and detect knowledge gaps. The cognitive computing module analyzes these patterns to understand individual learning styles and generate personalized learning recommendations. Additionally, predictive analytics is used to forecast student performance and provide early intervention for learners facing academic difficulties.

How to Cite this Paper

Achar, N. G. C., Kanchan, H., Nirmala, & Shreekanth, (2026). An Intelligent AI-Driven Cognitive Computing Framework for Adaptive Smart Learning Environments with Personalized Learning Analytics. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(03). https://doi.org/10.55041/ijcope.v2i3.176

Achar, N, et al.. "An Intelligent AI-Driven Cognitive Computing Framework for Adaptive Smart Learning Environments with Personalized Learning Analytics." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i3.176.

Achar, N,Harish Kanchan, Nirmala, and Shreekanth. "An Intelligent AI-Driven Cognitive Computing Framework for Adaptive Smart Learning Environments with Personalized Learning Analytics." International Journal of Creative and Open Research in Engineering and Management 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i3.176.

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References

[1] John McCarthy, “What is Artificial Intelligence?” Stanford University, 2007.

[2] Wayne Holmes, Maya Bialik, and Charles Fadel, Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston, MA, USA: Center for Curriculum Redesign, 2019.

[3] George Siemens, “Learning Analytics: The Emergence of a Discipline,” American Behavioral Scientist, vol. 57, no. 10, pp. 1380–1400, 2013.

[4] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 4th ed. Pearson Education, 2021.

[5] H. Farhood, M. Nyden, A. Beheshti, and S. Muller, “Artificial intelligence-based personalised learning in education: A systematic literature review,” Discover Artificial Intelligence, vol. 5, 2025. Available: https://link.springer.com/article/10.1007/s44163-025-00598-x

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Mar 29 2026
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