The integration of artificial intelligence into higher education requires structured, evidence-based approaches rather than reactionary policies. Recent news articles from Ireland highlight how institutions are taking proactive steps to shape this transition. From June 14 to 16, 2026, the EDEN 2026 Conference in Porto, Portugal, served as a primary forum for these discussions. The event, themed “Beyond Technology: Human-AI Collaboration for Learning and Teaching,” gathered international educators, researchers, and institutional leaders. TU Dublin maintained a strong presence at the event, presenting multiple papers that demonstrated a clear, practical approach to incorporating Generative AI into university curricula and student support systems.
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Understanding TU Dublin’s Impact at the EDEN 2026 Conference
Ireland’s higher education sector has consistently prioritized digital transformation, and TU Dublin’s contributions to the EDEN 2026 Conference reinforce this trajectory. Rather than focusing solely on the technical capabilities of new software, the TU Dublin delegates examined how human-AI partnerships can fundamentally improve learning design, inclusion, and institutional practices. The university’s presentations covered a broad spectrum of applications—from theoretical pedagogical frameworks to deployed student-facing chatbots and data-driven curriculum analytics.
This multifaceted approach reflects a mature institutional strategy. By addressing the ethical, practical, and administrative dimensions of Generative AI simultaneously, TU Dublin provided a comprehensive case study of how a modern technological university can navigate the complexities of digital education. The work presented in Porto illustrates that successful AI integration relies on human oversight, structured student partnerships, and robust data infrastructure.
Fostering AI Ethicists Through Student Partnership
One of the primary challenges in modern education is moving beyond binary policies that either ban or uncritically accept AI tools. Dr. Fionnuala Darby from the School of Global Business addressed this directly by presenting a paper titled “Create, Think, Trust: Embedding Engagement in GenAI through Student Partnership.” Recognized by the session chair as a valuable contribution to the conference theme, this research outlines an embedded pedagogical model designed to build confidence and competence in using Generative AI.
The “Create, Think, Trust” framework relies on three core pillars:
- Discovery and Creation: Encouraging students to actively use AI tools to generate initial drafts, brainstorm ideas, and explore different approaches to assignments.
- Critical Analysis: Training students to evaluate AI outputs for accuracy, bias, and relevance, ensuring they do not accept machine-generated content at face value.
- Reflective Practice: Requiring students to document and reflect on their interactions with AI, creating a transparent record of how the technology influenced their final work.
This structured integration supports inclusive learning environments by providing a common framework for all students, regardless of their prior technical background. Furthermore, it promotes transparent assessment practices. By advocating for the co-development of “AI ethicists” in higher education, Dr. Darby’s approach positions both educators and learners as active, critical, and ethical participants in the digital landscape. This shifts the narrative from AI as a threat to academic integrity to AI as a tool that requires rigorous, human-led governance.
The Marketing AI Assistant (MAIA) Project: Practical Application
While theoretical frameworks are essential, students also require immediate, practical support to navigate university life. Rodger Faherty from the School of Business Technology, Retail and Supply Chain presented the Marketing AI Assistant (MAIA) project, which exemplifies applied Generative AI in a real-world educational setting.
MAIA builds upon a previous chatbot initially developed to help third-year marketing students access sustainability-related information. Recognizing the potential for broader application, the project expanded the assistant’s capabilities to help students retrieve critical information, including:
- Course and module outlines
- Assessment criteria and deadlines
- Pastoral support resources
- GPA calculations and academic standing
- Assessment regulations and institutional policies
The immediate goal of the MAIA project is to build and launch the assistant utilizing existing university data and public information. By leveraging established knowledge bases, the development team ensures the AI provides accurate, reliable responses. The future phases of the project involve evaluating the tool’s usefulness through student feedback and exploring wider implementation across the School of Marketing and Entrepreneurship, as well as the broader Faculty of Business. Projects like MAIA demonstrate how Generative AI can reduce administrative friction, allowing students to focus on their academic responsibilities rather than searching for basic institutional information.
Data-Driven Curriculum Design Using Technology-Enhanced Learning
Generative AI and advanced analytics are not only useful for student-facing tools; they also offer significant advantages for academic administration and curriculum design. Shaun Ferns, Dr. Barry Ryan, and Dr. Fionnuala Darby presented their work on “Programme-Level TEL for Human-Centred Educational Decision-Making.” This contribution focused on the design and early implementation of programme-level technology-enhanced learning (TEL) decision-support tools tailored for the Irish higher education context.
Historically, curriculum design has relied heavily on individual module reviews, which can sometimes obscure broader programme-level issues such as assessment bunching, skill gaps, or misaligned learning outcomes. The TU Dublin team utilized Microsoft Forms, Power BI, and emerging curriculum analytics to create a centralized view of programme health. These tools aggregate data to help programme teams visualize the cumulative consequences of their design decisions.
The Value of AI-Supported Curriculum Intelligence
The core argument of this presentation was that AI-supported curriculum intelligence should augment, rather than replace, professional judgment. When faculty members can see data-driven insights about their programmes, they can engage in more productive, evidence-based curriculum conversations. This leads to better-structured courses, improved student workload distribution, and clearer progression pathways. By framing data analytics as a support mechanism for human decision-making, TU Dublin avoids the pitfalls of algorithmic management and maintains the human-centric focus that defined the EDEN 2026 Conference.
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Preparing for Agentic AI in Educational Settings
The discussions at the EDEN 2026 Conference also looked toward the future, specifically the transition from traditional Generative AI to Agentic AI—systems capable of taking autonomous actions to achieve specific goals. Dr. Kevin Byrne, Head of the School of Business Technology, Retail and Supply Chain, noted that the event provided unique insights into the tensions Generative AI creates across all actors in the education sector.
As AI systems become more autonomous, the need for robust governance structures, ethical guidelines, and critical digital literacy will only increase. Dr. Byrne emphasized that the takeaways from Porto will directly assist TU Dublin in influencing the journey of its staff and students as EdTech continues to advance. Preparing for this next phase requires institutions to move beyond basic AI literacy and begin developing comprehensive frameworks for managing autonomous systems within educational workflows.
The Future of Human-Centred Digital Education in Ireland
TU Dublin’s collective presentations at the EDEN 2026 Conference in Porto underline the institution’s growing influence in international conversations surrounding responsible AI, curriculum design, and learner partnership. By combining high-level pedagogical theory with practical, deployed tools like the MAIA chatbot, TU Dublin demonstrates a balanced approach to digital education.
The integration of Generative AI into higher education is an ongoing process that requires continuous evaluation, stakeholder engagement, and a willingness to adapt institutional practices. The work showcased in Portugal highlights a clear path forward: one where technology serves to enhance human capability, support transparent assessment, and provide actionable data for academic leaders. For educators and students in Ireland and beyond, these developments signal a shift toward more structured, ethical, and highly supportive digital learning environments.
