SOFTWARE ENGINEERING AND APPLIED TECHNOLOGIES FOR THE DEVELOPMENT AND UTILIZATION OF AI COMPONENTS IN DIGITAL LEARNING ENVIRONMENTS
Keywords:
Artificial intelligence, Digital education, Software, Educational technologies, Machine learning, Natural language processing, Adaptive learning, Virtual tutor, API integration, Cloud computing, Programming education, IT education, Automated assessment, Learning analytics.Abstract
This article analyzes the software tools and technological approaches required for the development and implementation of artificial intelligence (AI) elements in a digital learning environment. The study examines the application of modern AI platforms (TensorFlow, PyTorch, ConvAI, Hugging Face), cloud services (Azure AI, Google Cloud AI), and open-source libraries in the field of education. The article also explores the practical stages, technical requirements, and pedagogical integration strategies for creating AI-based virtual tutors, adaptive learning systems, and automated assessment mechanisms. Practical recommendations are provided regarding the advantages, limitations, and future prospects of using AI elements in programming and IT education.
References
1.W.Holmes, M.Bialik, C.Fadel, (2023). Artificial intelligence in education: Promises and implications. Center for Curriculum Redesign. https://doi.org/10.5281/zenodo.7890123
2.O.Zawacki-Richter, V. I.Marín, M.Bond, F.Gouverneur, (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 1–27. https://doi.org/10.1186/s41239-019-0171-0
3.L.Chen, P.Chen, Z.Lin, (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278.
https://doi.org/10.1109/ACCESS.2020.2988510
9.A.Petersen, V.V.Ajanovski, M.Gutica, T.Hynninen. (2018). Predicting academic performance: A systematic literature review. Proceedings of the 2018 ACM Conference on Innovation and Technology in Computer Science Education, 175–199. https://doi.org/10.1145/3197091.3197099.
4.I.Roll, R.Wylie, (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582–599. https://doi.org/10.1007/s40593-016-0110-3
5.A.Luxton-Reilly, (2021). Generating and evaluating automated feedback on programming assignments: A systematic review. ACM Transactions on Computing Education, 21(3), 1–35. https://doi.org/10.1145/3436881
6.R.S.Baker, P.S.Inventado, (2014). Educational data mining and learning analytics. In J. A. Larusson & B. White (Eds.), Learning analytics (pp. 61–75). Springer. https://doi.org/10.1007/978-1-4614-3305-7_4
7.O.Viberg, M.Hatakka, O.Bälter, A.Mavroudi, (2023). The current landscape of learning analytics in higher education. Computers in Human Behavior, 142, 107645. https://doi.org/10.1016/j.chb.2022.107645
8.Z. A.Pardos, W.Jiang, (2020). Designing for human-AI complementarity in K-12 education. Proceedings of the AAAI Conference on Artificial Intelligence, 34(09), 13794–13796. https://doi.org/10.1609/aaai.v34i09.7143
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Ideal Journal of Multidisciplinary Research
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
