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Assessment Design through Co-Creation: Student-Staff Partnership in Evaluating the Impact of Artificial Intelligence

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  • Author(s): Ellie Ingle; Andrew Williams
  • Language:
    English
  • Source:
    International Journal for Students as Partners. 2025 9(1):214-226.
  • Publication Date:
    2025
  • Document Type:
    Journal Articles
    Reports - Research
  • Additional Information
    • Availability:
      McMaster University Library Press. McMaster University Library, 1280 Main Street West, Hamilton, ON L8S $L6 Canada. e-mail: scom@mcmaster.ca; Web site: https://mulpress.mcmaster.ca/ijsap
    • Peer Reviewed:
      Y
    • Source:
      13
    • Education Level:
      Higher Education
      Postsecondary Education
    • Subject Terms:
      Teacher Student Relationship; Test Construction; Artificial Intelligence; Man Machine Systems; Natural Language Processing; Cooperation; Undergraduate Students; College Faculty; Medicine
    • Abstract:
      This case study reports on a co-creation initiative that explored the use of generative artificial intelligence (AI) technologies in the context of higher education assessments. The AI Co-Creators project aimed to promote dialogue between students and staff on the impact of AI with the objective of using AI tools more effectively. The case study presents a collaborative partnership which focused on evaluating ChatGPT-generated output in response to diverse coursework assessments on an undergraduate medical sciences programme. The co-design of evaluation criteria and key findings are presented and resultant challenges faced by students and staff are explored through dialogue, interview, and thematic analysis. The value of the student-staff collaboration is explored from the perspective of the student, staff, and institution, while the benefits, limitations and recommendations for future co-creation projects are presented in the context of AI and higher education assessment and learning.
    • Abstract:
      As Provided
    • Publication Date:
      2025
    • Accession Number:
      EJ1476831