Forecasting Trends in the Development of Educational Technologies Using Artificial Intelligence
DOI:
https://doi.org/10.5281/zenodo.15079581Keywords:
flexible learning, smart teaching help, computer-based tests, online teaching methods, student data analysis, tailored education, machine-made responsesAbstract
In this research the growth of school tools made by smart machines has been investigated. The authors hope to find out the new ideas from these machines, the way they can transform learning for each person, and check their role in changing schools. Different approaches, studying previous works and analyzing expert views, have been used to consider new applications of smart machines.
The progress in self–regulated learning, and clever tutorial systems, and tools for grading made by smart machines have been resulted in this research. The findings stress how these technologies could make learning better, easier to get to, and more interesting, which is shaping the future of teaching. These clues are very important for the people who make rules, the teachers, and tech makers.
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Copyright (c) 2025 Mykola Koziar, Tetiana Lysenko, Eleonora Privalko
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