ALGORITHMIZATION OF CONTENT PREPARATION FOR A COMPILATION DISCIPLINE USING ARTIFICIAL INTELLIGENCE TOOLS

descriptionPublicationkeyboard_double_arrow_right Article 26 Aug 2024Publisher:State University "Kyiv Aviation Institute"Journal:Distance Education in Ukraine: Innovative, Normative-Legal, Pedagogical Aspects (eissn: 2786-5495,

Authors: Volodymyr Momot; Olena Lytvynenko;

doi: 10.18372/2786-5495.1.18883

ALGORITHMIZATION OF CONTENT PREPARATION FOR A COMPILATION DISCIPLINE USING ARTIFICIAL INTELLIGENCE TOOLS

- Summary
- Subjects
- Metrics

Abstract

Based on the experience of developing the content of the compilation discipline «Technologies of Training Delivery» at the Alfred Nobel University using the main modern AI tools (ChatGPT 4.0, Gemini and Claude), a robust algorithm is proposed. The main problems that arise when using AI tools, such as initial bias and low trust level among the teaching staff. The possibilities of joint use of AI visualization tools (DAL-E 3.0 neural network) and presentation tools commonly used in the educational process (PowerPoint and Keynote) are shown. The problems of trust that arise during the deep implementation of AI tools in the educational process are considered. Recommendations are given on the systematic use of AI tools in the preparation and improvement of educational content.

Related Organizations

Alfred Nobel University
Ukraine

Keywords

штучний інтелект, robustness, Bard, Claude, artificial intelligence, робастність, ChatGPT, DAL-E, алгоритмізація, algorithmization, Gemini

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average