Design and Empirical Evaluation of an AI-Empowered Learning Ecosystem (AILEE) for Python Programming Education

Copyright & License

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.

BibTeX

@article{192844,
        author = {Dr. S. B. Ninu and T. Prem Kumar and Dr. A. P. Praveen Kumar and Dr.Ben M.Jebin},
        title = {Design and Empirical Evaluation of an AI-Empowered Learning Ecosystem (AILEE) for Python Programming Education},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {3518-3523},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192844},
        abstract = {},
        keywords = {Artificial intelligence in education, adaptive learning, intelligent tutoring systems, Python programming, learning analytics.},
        month = {February},
        }

Cite This Article

Ninu, D. S. B., & Kumar, T. P., & Kumar, D. A. P. P., & M.Jebin, D. (2026). Design and Empirical Evaluation of an AI-Empowered Learning Ecosystem (AILEE) for Python Programming Education. International Journal of Innovative Research in Technology (IJIRT), 12(9), 3518–3523.

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