Topic outline

  • Methodology

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    • We used a mixed-methods design that combines Qualtrics-administered surveys, interviews, and stakeholder feedback to ensure comprehensive insights.

      Quality and Ethics

      This study was conducted 18–20 months after the release of ChatGPT. We surveyed different stakeholder groups: academic staff, students, academic integrity officers (AIOs), and industry professionals. All surveys addressed consistent themes, including skill requirements, policy gaps, and educational strategies. Qualitative data (e.g., interview transcripts, open-ended responses) were analysed by identifying recurring themes, while quantitative data (Likert scales, closed-ended responses) were analysed using statistical methods.

      We emphasised voluntary participation, confidentiality, and participants’ right to withdraw at any time. Pilot testing was conducted, and we implemented Qualtrics-driven quality controls, including checks for straightlining responses. To enhance validity, we also triangulated data across stakeholder groups. By integrating perspectives from educators, AIOs, industry advisors, and students, this methodology provides practical insights for curriculum development, policy reform, and improving graduate employability.

      Survey Administration

      The flowchart depicting the survey pathway is shown in Figure 2 and briefly described in the interactive below.


      Figure 2 - Survey Administration (also showing timeline)


      See below for details of how each survey was conducted.

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