What Was Discussed During the Course: Key Themes and Reflections
The course covered a wide range of topics and discussions, helping participants not only to acquire technical skills but also to reflect on how AI is transforming education and research.
1. AI and Higher Education — Artificial intelligence reshapes teaching methods just as electricity or computers once transformed everyday life. The goal is not to ban but to understand and guide innovation so that Ukrainian graduates remain competitive globally.
2. AI and Academic Integrity — Educators discussed how the definition of honesty is shifting in the age of generative AI. The main question now is how to teach responsible AI use, not how to prohibit it.
3. Assessment in the AI Era — Evaluation should be continuous, emphasizing critical thinking, creativity, oral components, and project-based learning. AI should be integrated thoughtfully, not replace human judgment.
4. Legal and Ethical Aspects — Discussions focused on principles of responsible AI use: human-centeredness, transparency, fairness, safety, and accountability — key to building trust and ensuring ethical practices in education.
5. Dilemmas of AI in Education and Science — Questions arose about authorship, fairness, and access. Can AI be a “co-author”? How do we prevent new forms of inequality?
6. AI as a Teaching Assistant — Examples of using AI for personalized learning, automation of administrative tasks, content generation, and real-time feedback were explored.
7. AI as a Colleague, Not a Tool — Speakers emphasized the paradigm shift: AI is not just a tool but a collaborator
that inspires creativity. Teachers become curators and learning designers.
8. AI in Curricula and Pedagogy — Integration of AI competencies into programs, flexible curricula, and facilitation-oriented teaching approaches were highlighted.
9. AI in Scientific Research — AI’s role in data collection, analysis, visualization, and hypothesis generation was discussed, along with issues of research ethics and authorship.
10. Responsible AI in Higher Education — Key focuses included academic integrity, bias mitigation, data privacy, and explainability of AI-driven decisions.
11. Ukraine’s AI Future — Representatives of the Ministry of Digital Transformation presented the Center of Excellence on AI, aimed at shaping policy, nurturing talent, and fostering innovation.
12. Prompt Engineering for Education — The closing module focused on effective interaction with generative AI — how to formulate queries, engage in dialogue, and teach students “AI communication” as a new 21st-century literacy skill.