Method

  • Desktop Research:
    This involves gathering data from sources such as conferences, academic papers, and online and offline content. The goal is to collect information on current trends and developments related to generative AI.

  • Qualitative Interviews:
    In-depth, personal interviews will be conducted on-site or online with key stakeholders, including students, tutors, AI professionals, and clients from the creative industries. These interviews will provide detailed perspectives on the integration of AI in both educational and professional practices.

  • Surveys:
    I have designed short, 7-8 question surveys to maximize participation and gather diverse input. Each survey will conclude with an invitation for a follow-up interview to delve deeper into specific responses. Initially, the surveys will target participants within WdKA, with plans to expand nationally and internationally to capture broader insights.

This research applies a mixed-methods approach, integrating both qualitative and quantitative methodologies to provide a well-rounded understanding of the subject. The qualitative component includes an in-depth exploration of secondary sources and interviews, while the quantitative aspect is driven by surveys.

 

Research phases

The research process is divided into five distinct phases, each contributing to a deeper understanding and structured approach to the integration of generative AI within the Willem de Kooning Academy.

Phase 1 – Exploration (October – March 2025)
In this initial phase, the focus will be on gaining a general understanding of how generative AI is currently being addressed at WdKA. Through interviews with staff and students, as well as by reviewing literature and institutional resources, I aim to map the landscape of generative AI in relation to the academy. The goal of this phase is to gather diverse perspectives and compile a network of information, culminating in a list of priorities and concerns identified by stakeholders.

Phase 2 – Orientation (March – June 2025)
Building on the findings from the exploration phase, this stage will focus on identifying the most urgent topics for further investigation. By analyzing the collected data, I will define a more focused research question that aligns with the needs of WdKA’s community.

Phase 3 – Deepening of Insights (August – December 2025)
Once a specific research question has been identified, this phase will focus on further investigation into the selected topic. This will involve deeper qualitative and quantitative analysis. The aim is to develop specific recommendations and practical tools that can be applied in WdKA’s context.

Phase 4 – Testing and Prototyping (January – March 2026) (New Phase)
In this phase, any recommendations or tools developed in the previous phase will be piloted with selected groups of students and staff. The goal is to test the applicability of these solutions and gather feedback for refinement.

Phase 5 – Dissemination and Reflection (March – June 2026)
The final phase will focus on sharing the research findings within and beyond the academy. This will include presentations, publications, and discussions. Additionally, a reflective component will be incorporated to evaluate the impact of the research on WdKA and to provide recommendations for future research and long-term integration of AI technologies.

 

Research Tools

Student Survey

Tutor Survey

AI-professional Survey

AI-client Survey

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