Collaboration Circle: Mapping AI Challenges in Higher Education
Dates: 28 November, 11 December, 30 January
Location: Online
Application phase: 10 October – 7 November
Methodological approach:
- Dialogic Practice: Deep listening, reflection, and inclusion of diverse voices.
- Systemic Inquiry: Mapping key factors and interdependencies in AI adoption.
- Value Surfacing: Exploring motivations, assumptions, and values.
- Collective Sensemaking: Iterative sharing and synthesis to build a shared narrative.
Purpose and Goals
- Facilitate the co-creation of key challenges related to the implementation of AI in higher education, considering a multi-stakeholder perspective.
- Identify pain points and needs across the quadruple helix: academia, industry, government, and civil society.
- Explore the relevance of defining different university teacher profiles to propose tailored AI training adapted to each group’s specific needs.
- Build a shared understanding of the ethical, pedagogical, and professional implications of AI in teaching and learning.
- Establish an active and supportive network among participants to foster ongoing dialogue, mutual support, and potential joint research initiatives beyond the duration of the project.
Topic
A structured process with three sessions (combining online and local formats) focused on identifying key challenges and opportunities in the implementation of Artificial Intelligence (AI) in higher education. The goal is to collaboratively define relevant issues from multiple stakeholder perspectives—including academia, industry, government, and civil society—generating a shared understanding and foundational material for future research and training initiatives. The process emphasizes collaborative dialogue, systemic inquiry, and collective sensemaking, laying the groundwork for ongoing research and capacity-building projects.
A key objective is to explore the need to define different university teacher profiles in order to propose tailored AI training adapted to each profile’s specific needs.
Another central goal is to establish an active and supportive network among participants, encouraging continuous communication and mutual support from the first session onward. This network may also evolve into a sustained joint research line on the responsible use of AI in higher education, extending beyond the duration of the project.
Participants include professors, researchers, master’s students, external partners, and policy makers from ENGAGE.EU universities.
Dates and Times
- Session 1 (Online): November 28, 2025, 11:00 AM (Barcelona time, CET, UTC+1) – Kick-off, introduction, and mapping of challenges.
- Session 2 (Online): December 11, 2025, 10:00 AM (Barcelona time, CET, UTC+1) – Local focus groups by university, with all participants connected synchronously in a joint online session to identify context-specific challenges and solutions.
- Note: By January 9, participants are expected to submit the response template with identified keywords.
- Session 3 (Online): January 30, 2026, 11:00 AM (Barcelona time, CET, UTC+1) – Sharing findings, discussion, and future collaboration.
Duration: Three 90-minute sessions, spread over 2 months.
Session Structure
- Dialogic Practice: Deep listening, reflection, and inclusion of diverse voices.
- Systemic Inquiry: Mapping key factors and interdependencies in AI adoption.
- Value Surfacing: Exploring motivations, assumptions, and values.
- Collective Sensemaking: Iterative sharing and synthesis to build a shared narrative.
Methodology and Approach
Session 1: Online Focus Group for Local Leaders
The first session will be an online focus group with representatives from each university who will lead the local Collaboration Circle process. Attendance is intended for those responsible for organizing and facilitating the local focus groups, not necessarily for representatives from the productive or governmental sectors at this stage.
During this session, participants will address the challenges posed by artificial intelligence in higher education from various perspectives. In addition to collectively identifying the most relevant challenges, the session will include a training component: participants will learn how to extract keywords from responses, group them thematically, and categorize the identified challenges. This methodological guidance will be essential for each university to replicate the focus group in their own local context during the second session.
From this first session onward, a communication and collaboration channel will be established among all participating universities. Any questions or doubts that arise between sessions will be addressed, with special support provided from the Barcelona team. In fact, one of the key goals of this project is to foster an ongoing and active network of collaboration among universities.
Session 2: Synchronous Local Focus Groups
The second session will take place on the same day and at the same time for all participating universities, with everyone connected synchronously in a joint online event. After a joint introduction led from Barcelona, participants will be divided into virtual meeting rooms, one per university, where each institution will conduct its own local focus group. Each local focus group must be composed of 6 participants, ensuring representation from the quadruple helix: academia, industry, government, and civil society.
The discussion will be guided by a set of structured questions (three to five), with the aim of identifying context-specific challenges and exploring possible solutions. The Barcelona team will oversee the process, assigning facilitators to each room or rotating between them to ensure the smooth running of the dynamics and resolve methodological questions in real time.
Each university will document the main challenges and proposals that emerge from its local dialogue.
Participants are expected to submit the response template with identified keywords. These contributions will be compiled and will serve as concrete inputs for the Collaboration Circle’s general report.
Session 3: Sharing and Consolidating Results
The third session, also online, will focus on sharing and contrasting the findings from the local sessions. Participants in this session will be the same representatives from each university who attended Session 1 and led the local focus groups. Attendance is intended for those responsible for organizing and facilitating the local focus groups, not for representatives from the productive or governmental sectors.
Each university will present its results, highlighting the main challenges and proposals identified at the local level. This will be followed by a group discussion to analyze convergences and divergences between different contexts, fostering a broader and more comparative understanding. The session will also serve to identify opportunities for future collaboration, such as joint research projects or shared training initiatives on the responsible use of AI in higher education.
Outputs:
The main output will be a consolidated ENGAGE.EU report summarizing common challenges and emerging proposals, which will serve as a basis for future research and training project.
Application Requirements
Your Profile
- University community: professors, researchers, PhD candidates, and master’s as well as undergraduate students.
- External partners from the quadruple helix: representatives of industry, government, and civil society organizations.
Application
To apply for the Collaboration Circle you should provide:
- University affiliation (department and role)
- Students will need to provide their matriculation number
- Curriculum vitae
- Short motivation letter (max. 300 words) explaining interest in the activity and relevant experience
All documents must be submitted in English.
Identified benefits (for each involved stakeholder)
- Faculty, Researchers, and PhD Candidates: Opportunities to identify research gaps, formulate relevant questions, expand academic and professional networks, access funding and data sources, increase publication output, and experiment with innovative approaches.
- Students: Enhancement of CVs through skill development, acquisition of new competencies, exposure to international experiences, and access to valuable networking opportunities. Master’s students, in particular, may take on leadership roles in this initiative provided they are actively engaged in research, innovation, or institutional projects, and show a strong interest in the topic. Their involvement is expected to enrich the process with fresh perspectives and academic rigour, especially in interdisciplinary contexts such as AI in higher education.
- External Partners: Strengthening of employer branding, access to emerging talent, opportunities for funding and collaboration, participation in innovation labs, co-creation of research agendas, and contributions to regional development.
Selection
Each university is responsible for the selection process internally, within given deadlines.