Creating a Higher Education Ecosystem Based on Artificial Intelligence Implementation
Y. B. Melnyk, I. S. Pypenko · KRPOCH eBooks · 2026
AI-generated evidence extraction, verified across multiple analytical personas. Not a substitute for the peer-reviewed original.
This is an AI analysis. Read the peer-reviewed original at the publisher: https://doi.org/10.26697/aids.2026.11
Methodology & findings
Study design
Conceptual model development and qualitative analysis based on classification of AI implementation directions in higher education
Main result
The study developed a model for optimal implementation of AI in higher education, finding that "The model of optimal implementation of AI in the educational ecosystem of higher education, based on the systems approach, has been developed and substantiated." This model includes both structural components (universities, faculties, departments, institutes) and functional components (internal and external aspects of educational content, teaching methods, and learning outcomes assessment).
Reports effect sizes.
Research paradigm
interpretivist/qualitative
Author conclusions
The authors conclude that "The curriculum should be relevant, meeting the interests of students and the current needs of employers. Education stakeholders are encouraged to use the available benefits of AI responsibly to address the challenges of student learning and teacher organisation in universities." They also state that "The results are essential for developing university strategies for developing educational ecosystem."
Open questions raised
- The paper identifies the need for developing university strategies for the educational ecosystem and for responsible implementation of AI benefits to address learning and organizational challenges in universities.
- The paper identifies the need for university strategies in developing AI-integrated educational ecosystems and addresses the requirement for curricula that are relevant and meet student interests and employer needs.
- The paper identifies the need for developing university strategies for the higher education ecosystem and emphasizes the importance of curriculum alignment with student interests and employer needs in the context of AI implementation.
Explore related topics
Related papers
- Guidance for conducting systematic scoping reviewsMicah D.J. Peters · 2015 · 7,472 citations
- Artificial intelligence in higher education: the state of the fieldHelen Crompton · 2023 · 1,378 citations
- A SWOT analysis of ChatGPT: Implications for educational practice and researchMohammadreza Farrokhnia · 2023 · 1,171 citations
- A comprehensive AI policy education framework for university teaching and learningCecilia Ka Yuk Chan · 2023 · 1,160 citations
- Ethics of AI in Education: Towards a Community-Wide FrameworkW. Holmes · 2021 · 1,056 citations
- ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishingBrady Lund · 2023 · 769 citations