Use of Innovative Educational Technologies Based on Artificial Intelligence to Train Specialists in Higher Education Institutions for the Implementation of Sustainable Development Goals

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Authors: Артем Андросенко, Hanna Voshkolup, Mariia Boiko, Євген Бохонько, Nadiia P. Stognii
Cited by: 0

Abstract

In view of comprehensive access to information and the expansion of the impact of artificial intelligence (AI), there is a need for a deep rethinking of the role of higher education in achieving the sustainable development goals (SDGs) of humanity. The aim of the study is to determine the impact of innovative AI-based educational technologies on the development of key competencies for sustainable development in higher school students. The study employed empirical research methods. The content analysis using the MeetGeek tool revealed the teachers’ key concerns related to the use of AI in educational activities. The survey assessed the impact of AI tools on the quality of the educational process and the development of key sustainability competencies. Case analysis contributed to the identification and systematization of effective pedagogical approaches. Statistical analysis provided comprehensive processing and interpretation of the obtained data. A total of 217 teachers of the humanities of higher education institutions (HEIs) of Ukraine participated in the survey. The results showed that AI-based educational technologies contribute to improving the quality of learning. The respondents highlighted the interactivity, flexibility, and practical orientation of learning using AI tools as key advantages of their integration into the educational process. Of them, 68.1% of teachers agreed that AI-assisted learning promotes the development of key sustainability competencies. Critical thinking (78.7%), Systems Thinking (75.5%), and the Integrated Problem-Solving (72.7%) are most affected. Anticipatory Thinking (69.1%), Strategic Thinking (66.4%), and Collaborative Ability (64.0%) are moderately affected. The student’s value orientation (60.8%), self-awareness and reflexivity (57.5%) are least affected. The results of the study showed that AI-based educational practices should be organized using scientifically based methods of developing thinking and innovative pedagogical approaches. Special emphasis should be placed on the implementation of continuous problem-oriented project-based learning approaches that support the principles of sustainable development, ethical, socially oriented and critical thinking.

Fields of Study & Subjects

Artificial Intelligence in Education Sustainability in Higher Education Innovative Educational Technologies

Publication details

Journal / source
Journal of Education and Training Studies
Volume
14
Issue
2
Pages
201–201
Publication date
12 February 2026
Language
EN