Abstract:

Higher Education (HE) is undergoing profound transformation driven by shifting student expectations, changing learning cultures, and the pervasive influence of artificial intelligence (AI). To explore how institutions can respond proactively, a futures-oriented workshop was conducted with university lecturers using a creative, collaborative format. Participants engaged with guiding questions on the future role of educators, expectations of upcoming student generations, essential graduate competencies, future learning spaces, and assessment design in an AI-rich environment.

Across all areas, participants highlighted the growing importance of human-centred, flexible, and ethically grounded approaches to teaching and learning. Regarding the role of educators, the findings indicate a shift towards coaching, mentoring, and moderating learning processes. Empathy, constructive feedback, enthusiasm, and boundary-setting were seen as increasingly decisive, although AI literacy remains necessary. In terms of future student expectations, individualisation, flexibility, modularisation, and transparent communication of purpose were identified as core demands and needs of Generation Z (and Alpha). Educators will need to guide students through increasingly virtual and digitally mediated learning journeys. According to the lecturers, graduates in 2035 must combine analytical, systemic, and problem-solving abilities with social and ethical competencies, including responsibility, inclusivity, resilience, and environmental awareness. Participants emphasised that cultivating such competencies requires learning environments that are both academically challenging and personally developmental. Future learning spaces should therefore incorporate flexible, modular physical settings combined with immersive and hybrid digital infrastructures. Such spaces should enable collaboration, creativity, and quiet reflection, supported by adaptable layouts, high technical standards, and AI-driven personalisation. These environments must also align with future assessment practices, where participants called for competence-oriented, fair, and process-focused approaches. Portfolios, project work, open-book formats, oral examinations, and continuous formative assessment were identified as strategies that maintain academic integrity while integrating AI as a supportive tool rather than a shortcut. At the same time, the shift from product to process was emphasised, along with the continued relevance of written paper-and-pencil exams.

Overall, the findings point to the need for a holistic transformation across pedagogy, learning spaces, graduate competencies, and institutional strategy. Preparing for the future of HE will require an integrated approach that places emphasis on human-centred teaching, flexible and adaptive learning ecosystems, ethically grounded and practice-oriented competencies, and assessment formats suited to an AI-enhanced environment.

In addition to presenting the workshop findings, this contribution offers hands-on, research-informed examples and good practices that illustrate and critically discuss how the areas explored can be translated into concrete action.

Keywords:

Higher Education development, pedagogical innovation, future learning, future teaching, educational change, learning environments.