12:15 - 13:00
Parallel sessions 4
12:15 - 13:00
Submission 64
Beyond Data Signal: A University-Industry Collaboration for Agile Learning Design
Presented by: Carles Bruguera
Carles BrugueraNatalí BasilicoPaula Pedro
Universitat Oberta de Catalunya (UOC)
The acceleration of the twin green and digital transition is reshaping labor markets, creating a significant demand for "hybrid professionals" who integrate green, digital and soft skills. While technological disruption drives this shift, Higher Education Institutions (HEIs) often face institutional inertia, struggling to adapt their lifelong learning offerings at the pace of market evolution. This paper presents a collaborative framework designed to bridge the gap between shifting market signals and academic strategy, emphasizing that successful transformation requires cross-sectoral dialogue and human-centered collaboration. Moving beyond purely quantitative data-driven approaches, the study employs an explanatory sequential mixed-methods design. First, it analyzes 1,274,595 online job advertisements (OJA) in Catalonia (2018–2024) to map the integrated demand for these skills. Second, it operationalizes these findings through qualitative co-creation workshops with 39 strategic stakeholders, including industry leaders and faculty members. The results suggest that the productive potential of technical expertise is significantly enhanced when activated by soft skills, a finding that points toward the value of shared pedagogical reflection between academia and industry. Insights from the workshops highlight a strategic tension: while industry partners seek greater programmatic agility, the lack of formalized collaborative channels often leads to a reliance on temporary external consultancy. This study indicates that the transition toward modular formats, such as industry-informed micro-credentials, may be particularly effective when developed within a participatory co-creation ecosystem. Such a framework allows HEIs to transform labor market intelligence into agile, human-centered learning designs for both active workers and new graduates. By bridging big data foresight with participatory renewal, the research opens a dialogue on how co-creation ecosystems can facilitate more responsive and human-centered learning design.