Forecasting Trends in the Development of Educational Technologies Using Artificial Intelligence

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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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-24
DOI
https://doi.org/10.5281/zenodo.15079580
Primary Topic
Artificial Intelligence and Decision Support Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Forecasting Trends in the Development of Educational Technologies Using Artificial Intelligence

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence and Decision Support Systems
article

Forecasting Trends in the Development of Educational Technologies Using Artificial Intelligence

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Bogomolets National Medical University (UA)
Quality Education
Openalex Percentile: Top 40%
Artificial Intelligence and Decision Support Systems
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