Development of Intelligent Systems to Support Academic Staff in the Teaching Process
DOI:
https://doi.org/10.5281/zenodo.17143000Keywords:
educational technology, adaptive learning, academic support, instructional optimization, decision-making tools, teaching innovation.Abstract
This study focuses on the development of intelligent systems designed to support academic staff in the teaching process by improving instructional planning, assessment, and feedback. A mixed-methods approach was employed, encompassing system design, implementation, and pilot testing with university educators. The results revealed gains in efficiency, personalized instructional guidance, and enhanced decision-making capabilities. The findings emphasize the potential of intelligent systems to optimize teaching practices, alleviate administrative workload, and foster data-driven educational strategies, thereby contributing to more effective and adaptive learning environments.
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Copyright (c) 2025 Oksana Huda, Natalia Lemesheva, Zlata Litvina
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