Expression of Interest to join: Artificial Intelligence in Educational Public Health (AIIPHN) |
About AIIPHN
Artificial Intelligence in Public Health Network (AIIPHN)
Co-Leads:
Dr Cherie Lucas and Associate Professor Anita Heywood, School of Population Health, UNSW
Objectives of the AI Network Group:
This AIIPHN for CAPHIA aims to provide a collaborative space for knowledge sharing and innovative discussions on AI's role in shaping the future of public health education.
➢ Enhance collaboration among academics across institutions on the integration of AI in public health and population health education.
➢ Share insights on the use of AI in teaching, learning, and assessment within public health courses and programs.
➢ Examine and discuss policies and frameworks for AI use in both formative and summative assessments.
➢ Explore strategies for ensuring assessment integrity and assurance in the era of AI.
➢ Discuss approaches for building AI literacy among students, particularly in the context of public health education.
➢ Provide a platform for sharing best practices, case studies, and exemplars related to AI integration in higher education
Meeting Schedule
AIIPN will meet quarterly. Meetings dates are advertised in the CAPHIA Newsletter and Linkedin.
Eligibility
Meetings may be for BOTH academics and students OR focused on specific needs for either group to deeply explore how Gen AI and public health education.
Co-Leads:
Dr Cherie Lucas and Associate Professor Anita Heywood, School of Population Health, UNSW
Objectives of the AI Network Group:
This AIIPHN for CAPHIA aims to provide a collaborative space for knowledge sharing and innovative discussions on AI's role in shaping the future of public health education.
➢ Enhance collaboration among academics across institutions on the integration of AI in public health and population health education.
➢ Share insights on the use of AI in teaching, learning, and assessment within public health courses and programs.
➢ Examine and discuss policies and frameworks for AI use in both formative and summative assessments.
➢ Explore strategies for ensuring assessment integrity and assurance in the era of AI.
➢ Discuss approaches for building AI literacy among students, particularly in the context of public health education.
➢ Provide a platform for sharing best practices, case studies, and exemplars related to AI integration in higher education
Meeting Schedule
AIIPN will meet quarterly. Meetings dates are advertised in the CAPHIA Newsletter and Linkedin.
Eligibility
Meetings may be for BOTH academics and students OR focused on specific needs for either group to deeply explore how Gen AI and public health education.
About the CAPHIA Networks
CAPHIA Networks are designed to foster collaboration and expertise in specific areas of academic public health. They are informal, academic-led groups which drive professional development and best practice in an area of interest. Membership is open to CAPHIA member institutions. For more information about CAPHIA Networks, please click here.
CAPHIA Networks are designed to foster collaboration and expertise in specific areas of academic public health. They are informal, academic-led groups which drive professional development and best practice in an area of interest. Membership is open to CAPHIA member institutions. For more information about CAPHIA Networks, please click here.