Digital Posters AAIN 2024 Conference

P11: Ethical Use of AI Learning Activities in a Master of Nursing Practice Degree to Extend Knowledge and Skill Development

Sarah Beasleigh, La Trobe University

In developing AI learning activities in nursing education, the focus should be on enhancing knowledge and skills, complementing traditional academic competencies rather than replacing them. Tertiary nursing courses should support students in learning AI tools and strengthening their digital literacy (O’Connor et al., 2023). In a graduate-entry Masters nursing program, AI activities were designed to build on students’ prior qualifications and extend their learning capabilities. These activities included defining and critiquing critical thinking and clinical reasoning, applying the clinical reasoning cycle to case studies using an AI chatbot, and appraising research through AI-assisted searches and data analysis.
The nursing profession must evaluate the benefits, limitations, and risks of AI in education (O’Connor et al., 2023) and ensure responsible use (Glauberman et al., 2023). Ethical use of AI, emphasising original thought, professionalism, and proper citation, is crucial to maintaining academic integrity (Alkhaquani, 2023). As course coordinator, my role was to promote ethical AI use, develop initial activities, support staff in further integration, and ensure the maintenance of academic integrity. Ongoing evaluation of AI learning activities is recommended to ensure they complement traditional academic skills and enhance student learning outcomes and maintain academic integrity.

References
Alkhaqani, A. L. (2023). ChatGPT and academic integrity in nursing and health sciences education. J Med Res Rev, 1(1), 5-8.
Glauberman, G., Ito-Fujita, A., Katz, S., & Callahan, J. (2023). Artificial Intelligence in Nursing Education: Opportunities and Challenges. Hawai’i journal of health & social welfare, 82(12), 302-305.
O’Connor, S., Leonowicz, E., Allen, B., & Denis-Lalonde, D. (2023). Artificial intelligence in nursing education 1: strengths and weaknesses. Nursing times (1987), 119(10), 23-26.
O’Connor, S., Permana, A. F., Neville, S., & Denis-Lalonde, D. (2023). Artificial intelligence in nursing education 2: opportunities and threats. Nursing times (1987), 119(11), 28-32.

Discussion starters:
  • What are challenges to ensuring that AI tools maintain academic integrity in your institution?
  • What has your experience been in using chatbots (ethically) in post-graduate coursework?
  • What are enablers and challengers to ensuring integrated AI contributes to effective learning in your program?
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