Exploring Student Attitudes and Current Adoption of Artificial Intelligence in Medical and Biomedical Education: A Comparative Study across UK and Malaysia Campuses
Lead institution: Newcastle University Medicine Malaysia
Country: Malaysia
Project primary contact: Dr James Woon (james.woon@newcastle.edu.my), Lecturer
Additional Contacts: Dr Steffi Tan Shih May, (NUMed, Malaysia), Dr Vanessa Armstrong, FMS, (Newcastle University, UK), Dr Pamela Knight, BMS, (NUMed, Malaysia), Dr Pang Kok Lun, (NUMed, Malaysia), Dr Roshan Mascarenhas, (NUMed, Malaysia) and Dr Joanna Matthan, (NUMed, Malaysia).
Project Title: Exploring Student Attitudes and Current Adoption of Artificial Intelligence in Medical and Biomedical Education: A Comparative Study across UK and Malaysia Campuses
The project is: Not yet started
Project Summary:
Aligned with the guidance set forth by UNESCO for policymakers regarding AI and education, this research aims to establish a comprehensive evidence base concerning the utilisation of generative AI within our target student demographic (Malaysia and UK medical/biomedical students). The data collected will be valuable to guide future curriculum development or redesign, particularly in response to the growing prevalence of AI integration. Furthermore, we intend to conduct a comparative study spanning two distinct geographical contexts: the United Kingdom and Malaysia.
The juxtaposition of student experiences and perspectives from these diverse countries will show how AI adoption influences medical education across varied cultural and transnational educational landscapes. Through this collaborative exploration, we endeavour to pave the way for more informed and adaptive educational practices that harness the potential of AI while addressing the unique needs of students in both regions.
Aim 1: To assess students' attitudes towards using artificial intelligence in medical and biomedical higher education.
Aim 2: To examine the current individual utilisation of AI technologies in medical and biomedical education.
Aim 3: To compare students’ attitudes and adoption levels between campuses in the United Kingdom and Malaysia.
Impact: The project's intended impact is to provide a comprehensive understanding of students' attitudes towards and adoption of artificial intelligence in medical and biomedical education in the UK and Malaysia, guiding future curriculum development and fostering informed and adaptive educational practices in these diverse contexts.
Audience: The project is intended to have an impact on both medical and biomedical students and educators.
This output is part of a member project - AI Garage: Creating the Future Now which collects and curates cutting-edge practice examples of AI. You can explore other submissions here.