THE ROLE OF ARTIFICIAL INTELLIGENCE ALGORITHMS IN ASSESSING STUDENTS’ KNOWLEDGE
This article analyzes the role and importance of artificial intelligence algorithms in the student knowledge assessment process. Problems
inherent in traditional assessment systems, such as subjectivity, time constraints, and a lack of individualized approach, are examined, and
the potential of AI-based automated assessment systems to overcome these limitations is highlighted. The effectiveness of machine
learning, natural language processing, and data analysis algorithms in evaluating tests, written assignments, and practical work is
demonstrated. The advantages of such systems in terms of objectivity, rapid analysis, and the ability to provide individualized
recommendations to students are also emphasized.
1. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
2. Ilalovich K. K. (2022). The Structure of the Nonlinear-Cumulative Model of Students’ Assessment. European Journal Of
Innovation In Nonformal Education, 2(1), 147–150.
3. Jain A., Duin R. P. W. & Mao J. (2000). Statistical Pattern Recognition: A Review. IEEE Transactions on Pattern Analysis and
Machine Intelligence, 22(1), 4–37.
4. Kalimбетov K. Decision-making in the teaching and assessment of computer science for students of higher education institutions
in the context of an inexhaustible supply of information. http://science.nuu.uz/uzmu.php
5. Kenesbaevich S. K., Ilalovich K. K. & Meyrmanovich M. B. (2024). Assessment In Teaching Based On Interactive Methods In
Higher Education Institutions. Onomázein, 62 (2023: December), 2563–2567.
6. Pedregosa F., Varoquaux G., Gramfort A., Michel V., Thirion B., Grisel O. & Duchesnay E. (2011). Scikit-learn: Machine
Learning in Python. Journal of Machine Learning Research, 12, 2825–2830.
7. Russell S. & Norvig P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
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