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Advanced Data Mining Solution for Educational Decision Making

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Proceedings of the 11th International Conference on Advanced Intelligent Systems and Informatics (AISI 2025) (AISI 2025)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 238))

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Abstract

The proposed solution includes a detailed and novel description of a data mining model applied to the educational environment and an intuitive and easy-to-use software tool that implements it. This model starts with the presentation of the educational problem to be analyzed and ends by providing the alternatives of possible solutions, i.e., an end-to-end model. What is interesting and novel is that most of the complex tasks to be performed to achieve the objective have been automated using techniques such as Exploratory Data Analysis, ETL’s Scripts, Automated Machine Learning, and Automatic Interpretability and Explainability. In addition, the model takes into consideration the ethical standards that must be met in terms of privacy and security. This solution allows institutions to find patterns within the educational big data that allow them to understand the complexity of their problems and the main factors that generate them.

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Author information

Authors and Affiliations

  1. School of Computing and Information Technology, Eastern International University, Thu Dau Mot, Vietnam

    N. C. Debnath

  2. National University of Villa Mercedes, Villa Mercedes, Argentina

    G. A. Novillo-Rangone & W. R. Molina

  3. National University of San Luis, San Luis, Argentina

    G. A. Montejano, A. G. Garis & D. Riesco

Authors
  1. N. C. Debnath
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  2. G. A. Novillo-Rangone
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  3. G. A. Montejano
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  4. A. G. Garis
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  5. W. R. Molina
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  6. D. Riesco
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Corresponding author

Correspondence to N. C. Debnath .

Editor information

Editors and Affiliations

  1. Faculty of Computers Artificial Intelligence, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  2. Port Said University, Port Said, Egypt

    Rawya Y. Rizk

  3. Helwan University, Cairo, Egypt

    Ashraf Darwish

  4. Department of Marketing, The University of Jordan, Sharjah, United Arab Emirates

    Muhammad Turki Raji Alshurideh

  5. VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snášel

  6. Computer and Information Sciences, Ain Shams University, Cairo, Egypt

    Mohammed F. Tolba

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Debnath, N.C., Novillo-Rangone, G.A., Montejano, G.A., Garis, A.G., Molina, W.R., Riesco, D. (2025). Advanced Data Mining Solution for Educational Decision Making. In: Hassanien, A.E., Rizk, R.Y., Darwish, A., Alshurideh, M.T.R., Snášel, V., Tolba, M.F. (eds) Proceedings of the 11th International Conference on Advanced Intelligent Systems and Informatics (AISI 2025). AISI 2025. Lecture Notes on Data Engineering and Communications Technologies, vol 238. Springer, Cham. https://doi.org/10.1007/978-3-031-81308-5_2

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