This workshop addresses emerging and young researchers in the field of Vocational Education and Training research. With a focus on both the practical and theoretical aspects of conducting research in VET, the session will explore methodologies, research designs, and the specific challenges associated with VET emerging researchers’ experiences. The workshop will combine input with hands-on activities, fostering critical thinking and collaboration among participants.
The objective of this workshop is to provide participants with examples, ideas, and opportunities for exchange on innovative and emerging methodological approaches in VET research. Through an interactive format, the workshop will explore cutting-edge topics such as Artificial Intelligence (AI), Virtual Reality (VR), and advanced research methods like fuzzy set Qualitative Comparative Analysis (fsQCA). Participants will engage in discussions, share insights, and critically reflect on how these methods can be applied to the design, critique, and implementation of VET research and projects.

The workshop will be structured to provide a blend of guidance and interactive engagement, ensuring participants actively contribute to and learn from the session. Facilitators will kick off the session by offering an overview of both traditional and emerging methodologies in VET research. This will include discussions on qualitative, quantitative, mixed methods and “trend” methods such as fuzzy set Qualitative Comparative Analysis (fsQCA). In the next segment, participants will engage in interactive group work. They will work collaboratively to design research projects based on VET-related questions, applying the methodologies discussed earlier. Groups will consider various approaches to directly connect theory to practice, using their understanding of the various methods in the context of VET research. Additionally, the workshop will feature a peer review exercise, where participants will critique a hypothetical VET research proposal that contains common methodological flaws. Through constructive feedback, participants will sharpen their critical thinking skills and improve their ability to assess research designs effectively. A significant portion of the session will also focus on future trends and technological innovations in VET research. Participants will brainstorm how emerging technologies—such as Artificial Intelligence (AI), Virtual Reality (VR), and data analytics—are influencing and reshaping research methodologies. Finally, the workshop will conclude with a period for individual reflection and group discussion. Participants will reflect on key takeaways and how they can apply the newly acquired knowledge to their own research endeavors. This will also provide a valuable opportunity for networking, allowing participants to establish connections with fellow researchers and facilitators for future collaboration and support.

Participants will gain an understanding of methodologies in VET research, including qualitative, quantitative, and mixed methods, and will think about practical ideas in designing studies that tackle, for example, challenges like data access, AI or ethical concerns. The workshop will also encourage engagement with research proposals, exploration of emerging technologies, and foster networking opportunities for collaboration with peers and experts in the field.

Leischnig, A., Henneberg, S. C. & Thornton, S. (2014). Performing Configurational Analyses in Management Research. A Fuzzy Set Approach. Kuckartz, U., & Rädiker, S. (2024). Qualitative Inhaltsanalyse. Methoden, Praxis, Umsetzung mit Software und künstlicher Intelligenz (6. Auflage). Juventa Verlag.