Getting Started with Generative Artificial Intelligence: Considerations and Strategies
The rapid adoption of artificial intelligence (AI) technology raises questions about implications for teaching and learning within medical education (Huang, 2023, UNESCO, 2023). It is human expertise which will unlock the power of AI (Mollick, 2023) and therefore, together we have the opportunity to navigate the challenges and imagine the possibilities. During this interactive session, facilitators will provide an overview of Generative AI facilitate discussions about its impact on medical education, provide definitions, and share resources. Participants will engage with various Generative AI to practice crafting well defined prompts designing teaching and learning activities, offering suggestions for curricular use.
After this workshop participants will be able to:
- Describe how Generative Artificial Intelligence (AI) works
- Discuss implications in medical education, including ethical considerations and potential bias of AI tools
- Identify generative AI resources to support medical education, self-directed learning, and curriculum development
- Practice using Generative AI (e.g. ChatGPT) for instruction and design of assessments
Workshop Materials
- Presentation
- AI-SPARC handout
Prompt Components (TRACI)
TRACI(link is external) is one kind of prompting framework that is useful for engineering prompts of Generative AI. The letters refer to various components of a prompt:
T-Task: Task referers to the type of output the prompt should achieve. For example, a rubric, learning goals, or a syllabus statement.
R-Role: Role refers to the persona generative AI should take on when responding. For example, an expert educator, a student advisor, and instructional designer
A-Audience: Audience refers to the group to whom the response is written. For example, introductory biology students, graduate level competitive study majors, Doctor of Pharmacy Students.
C-Create: Create refers to the format of the output, for example, 200 words, a three-column table, or an acrostic poem.
I-Intent: Intent communicates the purpose of the response for example to promote a growth mindset or clearly communicate expectations.
Considering the TRACI model will improve initial prompts and provide guidance as prompts are revised.
News
AAMC
Artificial Intelligence and Medical Education Community Resource: https://communities.aamc.org/resource-bundles/artificial-intelligence
- MedBiquitous®: International Advisory Committee for Artificial Intelligence. https://www.medbiq.org/initiatives/international-advisory-committee-artificial-intelligence
AMA
Interview with Dr. Marc Triola: https://youtu.be/K8KItGCWe2U?feature=shared
Feb 23, 2024: Why should AI be in classrooms? How do you integrate AI into a curriculum? AI tools for medical education, using AI in medical training and how AI can help you study. Our guest is Marc Triola, MD, associate dean of education informatics and director of the Institute for Innovations in Medical Education at NYU Grossman School of Medicine. American Medical Association CXO Todd Unger hosts.
Check out AMA’s ChangeMedEd®️ Initiative: https://bit.ly/AMA_ChangeMedEd 📰
Read more about the potential of AI in education and the future of AI in medical field: https://www.ama-assn.org/education/ch… 🏥
Learn more about the AMA Health System Program here: https://bit.ly/AMA_HealthSystemProgram
Educause
How (and Why) the University of Michigan Built Its Own Closed Generative AI Tools A.J. O’Connell
NBME
Webinar – AI in Assessment: Ethics, Innovation and Research
In March 2024, NBME researchers sat down to discuss the NBME’s approach to and development of ethical guidelines. The presentation was followed by a live Q&A session, during which attendees submitted questions for the presenters. Watch the full recording to learn more.
The White House
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/
Help Guides
- 7 Things You Should Know About Generative AI | EDUCAUSE Review(link is external)
- Prompt Library — AI for Education
- Practical AI for Instructors and Students Part 3: Prompting AI(link is external)
- Microsoft Copilot(link is external)
- User’s Guide to the TRACI Prompt Framework for ChatGPT(link is external)
- Ithaka S+R Generative AI Product Tracker
- OSU Teaching and Learning Resource Center –
Scholarly articles
- Abedi, M.; Alshybani, I.; Shahadat, M.R.B.; Murillo, M., 2023. Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education(link is external). Qeios. 2023.
- Ganjavi, C., Eppler, M. B., Pekcan, A., Biedermann, B., Abreu, A., Collins, G. S., Gill, I. S., & Cacciamani, G. E. (2024). Publishers’ and journals’ instructions to authors on use of generative artificial intelligence in academic and scientific publishing: bibliometric analysis. BMJ, 384, e077192. https://doi.org/10.1136/bmj-2023-077192
- Giray, L. Prompt Engineering with ChatGPT: A Guide for Academic Writers(link is external). Ann Biomed Eng., 2023, 1-5.
- Gordon, M., Daniel, M., Ajiboye, A., Uraiby, H., Xu, N. Y., Bartlett, R., Hanson, J., Haas, M., Spadafore, M., & Grafton-Clarke, C. (2024). A scoping review of artificial intelligence in medical education: BEME Guide No. 84. Medical teacher, 1-25. DOI: 10.1080/0142159X.2024.2314198
- Masters K. Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158. Med Teach. 2023;45(6):574-584. doi:10.1080/0142159X.2023.2186203
- Meskó, B. Prompt engineering as an important emerging skill for medical professionals(link is external): tutorial. J. Med. Internet Res, 2023, 25, e50638.
- Mollick, E.,Assigning AI: Seven Ways of Using AI in Class (oneusefulthing.org)
- Sharples, M. (2023). Towards social generative AI for education: theory, practices and ethics. Learning: Research and Practice, 9(2), 159-167. https://doi.org/10.1080/23735082.2023.2261131
- White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., Elnashar, A., Spencer-Smith, J. and Schmidt, D.C., 2023. A prompt pattern catalog to enhance prompt engineering with chatgpt.(link is external) arXiv preprint arXiv:2302.11382.\
- Zamfirescu-Pereira, J.D.; Wong, R.Y.; Hartmann, B.; Yang, Q. 2023, April. Why Johnny can’t prompt: how non-AI experts try (and fail) to design LLM prompts(link is external). In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023, 1-21.