The use of Artificial Intelligence for Creating Digital Content in the Learning Process

Kukuseva, Maja and Velinov, Aleksandar and Nikolova, Aleksandra and Stojkovic, Natasa and Zdravev, Zoran (2025) The use of Artificial Intelligence for Creating Digital Content in the Learning Process. Journal Of Computer Sciences and Mathematics (JCSM), 1 (2). ISSN 2955-246X

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Abstract

In the paper the capabilities of artificial intelligence (AI) in generating digital content for use in the learning process with focus on the course Fundamentals of Electrical Engineering are explored. Using three modern AI tools- ChatGPT, Copilot and Gemini, power point presentations are created to analyze the different approaches each tool takes in generating educational materials. The goal is to evaluate the structure, most relevant content, useful examples and the most effective visual elements for the need of electrical engineering students.
Through the research, each AI tool is used to create presentations on various topics from the course, such as fundamental electrical laws, electrical circuits, network theorems and dc transients. The presentations are compared based on several criteria: (1) information structure- how clearly and logically the content is organized; (2) quality of the content- accuracy, detail and relevance of the material; (3) examples- whenever and how the tool generates examples to explain the concepts; and (4) visibility and shareability.
The paper analyzes the strengths and weaknesses of each tool, with a particular focus on their usefulness for educators and students. Also, a discusses how AI tools can assist in improving learning by automating content creation while highlighting potential limitations will be represented. The results of this research will be valuable to the academic community, offering insights into which AI tool provides the best educational materials.

Item Type: Article
Subjects: Natural sciences > Computer and information sciences
Divisions: Faculty of Computer Science
Depositing User: Aleksandar Velinov
Date Deposited: 28 Jan 2026 08:59
Last Modified: 28 Jan 2026 08:59
URI: https://eprints.ugd.edu.mk/id/eprint/37329

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