Evaluating the impact of pattern recognition on AI skills development in universities


Kazimova D. Serikbayeva N. Samashova G. Zatyneyko A. Sarsenbayeva B.
2025Frontiers Media SA

Frontiers in Education
2025#10

Pattern recognition is a cornerstone of Artificial Intelligence (AI), shaping critical applications such as image analysis, speech processing, and automated decision-making. This study examines the impact of university curricula on developing AI competencies through dedicated pattern recognition training. A mixed-methods approach was employed to assess student comprehension, curriculum effectiveness, and challenges in mastering advanced concepts. The analysis reveals that structured coursework significantly enhances practical AI skills; therefore, recommendations include integrating more hands-on experiences and continuously updating course content. Such refinements promise to better prepare students for real-world challenges and industry demands. In conclusion, evolving instructional practices are essential for robust AI expertise. Copyright

AI skills development , artificial intelligence education , machine learning , neural networks , pattern recognition

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Applied Mathematics and Informatics Department, Buketov Karaganda State University, Karaganda, Kazakhstan
Department of Psychology, Semey State University, Semey, Kazakhstan
Faculty of Innovative Technologies, Buketov Karaganda State University, Karaganda, Kazakhstan
Department of Transport and Logistics, Buketov Karaganda State University, Karaganda, Kazakhstan
Pavlodar Pedagogical University, Pavlodar, Kazakhstan

Applied Mathematics and Informatics Department
Department of Psychology
Faculty of Innovative Technologies
Department of Transport and Logistics
Pavlodar Pedagogical University

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Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026