Key insights from the INFINITE WP4 implementation at the University of the Aegean
How do we move beyond abstract discussions about Artificial Intelligence in higher education and support responsible, meaningful, and ethical use of AI in everyday teaching and learning? This question was at the heart of the Greek implementation of the INFINITE project, carried out at the University of the Aegean.
Over the course of 2025, academics and students engaged with AI not as a shortcut or replacement for learning, but as a tool for reflection, critical thinking, and pedagogical innovation. What emerged were not only new skills, but also valuable lessons about what works—and what needs careful attention—when AI enters the higher education classroom.
AI training works best when pedagogy comes first
One of the strongest insights from the Greek implementation is that AI capacity building is most effective when it is pedagogically framed. Both academics and students participated in blended courses built around the INFINITE learning scenarios, which emphasise intentional use, ethical awareness, and “human-in-the-loop” approaches.
Rather than focusing on mastering specific tools, participants explored why, when, and how AI might support learning. This shift in focus proved crucial. Post-course feedback shows increased confidence not only in recognising AI applications, but also in evaluating their limitations and risks. Importantly, participants did not become uncritical adopters of AI; instead, they developed more reflective and selective attitudes toward its use.
Real classrooms reveal real challenges—and real learning
Two undergraduate classroom implementations provided a powerful reality check. When AI tools were integrated into courses on literature and history education, students initially tended to trust AI-generated content too easily. Hallucinations, oversimplified language, biased perspectives, and factual inaccuracies quickly surfaced.
Rather than treating these issues as failures, instructors used them as learning opportunities. By applying the INFINITE Visualised Framework and AI Readiness Checklist, students were guided to question outputs, verify information, and revise AI-generated material using their own disciplinary knowledge. This process transformed moments of uncertainty into deep learning experiences.
A key lesson here: AI literacy grows strongest where friction exists. Encountering the limits of AI helped students sharpen critical thinking, ethical judgement, and disciplinary awareness—skills that are central to higher education and future teaching professions.
Ethical awareness resonates with both students and academics
Across courses and classroom activities, ethical considerations consistently stood out as one of the most meaningful aspects of the experience. Participants reported the greatest learning gains in areas such as:
• recognising bias and inaccuracies
• understanding authorship and academic integrity
• evaluating when AI use is appropriate—and when it is not
Notably, even after the courses, both academics and students remained cautious about using AI in assessment and high-stakes academic work. This nuance is significant: the goal was never to promote unrestricted AI use, but to cultivate informed, responsible decision-making.
Using multiple AI tools builds digital resilience
Another important insight concerns the value of working with more than one AI system. By comparing outputs from tools such as ChatGPT, DeepSeek, and Gemini, participants quickly realised that AI tools are neither neutral nor interchangeable.
This comparative approach helped demystify AI and supported the development of what instructors described as digital resilience: the ability to assess outputs critically, adapt prompts, and avoid overreliance on any single system. For students—especially pre-service teachers—this understanding is vital for navigating an evolving digital landscape.
Lessons for the future
The Greek WP4 experience offers several clear lessons for future AI initiatives in higher education:
• Critical AI literacy must remain central. Technical skills alone are insufficient without ethical reflection and verification practices.
• Discipline-specific examples matter. Humanities and social sciences benefit greatly from tailored scenarios and prompts.
• Assessment needs rethinking. Hybrid human–AI work requires transparent criteria and redesigned evaluation methods.
• Flexibility supports participation. Blended and asynchronous formats help academics and students engage meaningfully despite workload pressures.
Above all, the experience shows that AI training can act as a catalyst for broader pedagogical reflection. Academics reconsidered teaching and assessment practices, while students reflected on their future professional responsibilities as educators.
Moving forward with intention
By meeting—and in many cases exceeding—its participation and engagement targets, the University of the Aegean’s implementation of WP4 demonstrates how the INFINITE project can translate European priorities into grounded, classroom-level change.
The key takeaway is clear: responsible AI integration is not about doing more with technology, but about thinking better with it. When supported by thoughtful pedagogy, ethical frameworks, and reflective practice, AI can become a powerful tool for learning—not by replacing human judgement, but by strengthening it.