What AI prompt is the best for…? That is the question
Submitted: 11 August 2023
Accepted: 23 August 2023
Published online: 2 January, TAPS 2024, 9(1), 64-65
https://doi.org/10.29060/TAPS.2024-9-1/LE3109
Mildred Lopez
Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico
Artificial intelligence (AI) in education has raised several ethical questions regarding academic integrity, privacy, and bias in language algorithms (Master, 2023). These concerns have yielded to distrust to the point that several institutions banned chatbots at Campus locations. Still, the discussion should not be about whether we should use them but how fast we can leverage the data-crunching possibilities to address the biggest challenges of medical education. To do so, educators have the task of transforming the generic use of generative AI to a specific task, such as designing an educational case, a grading rubric, or an exam. However, the quality of the designs depends heavily on the clarity of the educational intent and the technological savviness of the user to provide clear instructions for the algorithm to process.
Early experimentation of educators with generative AI, such as ChatGPT, could be an opportunity to refine the technological savviness and the specificity of prompts we supply to make the algorithm produce more effectively. Recently, Rospigliosi (2023) discussed that the challenge is to define what to ask of ChatGPT, as the quality of the prompt makes the quality of the response. In this ideation and creation stage, where early adopters are piloting small-scale interventions and experimenting with the tool’s limits, educators must work collaboratively across continents and among fields to define guidelines and identify effective strategies for large-scale implementations. While doing so, we speed up the developing process of learning resources in medical education and aspire to have more updated content in the curriculum.
Nevertheless, once a recipe to generate a learning resource has been implemented, the quality of the produced content should be assessed by specialists in the field. The definition of that quality level is also a field for discussion but should be closely aligned with the educational intent. In the future, not so far away, we could even have an AI tool to assess the quality of the content that the generative AI created. Then the question remains: What AI prompt would be the best to do what I, as an educator, need to work on?
Notes on Contributors
ML wrote the manuscript and edited it.
Funding
No funding was received for writing this paper.
Declaration of Interest
The author declares that there is no conflict of interest to disclose.
References
Masters, K. (2023). Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158, Medical Teacher, 45(6), 574-584. https://doi.org/10.1080/0142159X.2023.2186203
Rospigliosi, P. (2023). Artificial intelligence in teaching and learning: What questions should we ask of ChatGPT? Interactive Learning Environments, 31(1), 1-3. https://doi.org/10.1080/10448 20.2023.2180191
*Mildred Lopez
Ave. Eugenio Garza Sada 2501 Sur. Col Tecnologico,
64710
Monterrey, Mexico
Email: mildredlopez@tec.mx
Announcements
- Fourth Thematic Issue: Call for Submissions
The Asia Pacific Scholar is now calling for submissions for its Fourth Thematic Publication on “Developing a Holistic Healthcare Practitioner for a Sustainable Future”!
The Guest Editors for this Thematic Issue are A/Prof Marcus Henning and Adj A/Prof Mabel Yap. For more information on paper submissions, check out here! - Best Reviewer Awards 2023
TAPS would like to express gratitude and thanks to an extraordinary group of reviewers who are awarded the Best Reviewer Awards for 2023.
Refer here for the list of recipients. - Most Accessed Article 2023
The Most Accessed Article of 2023 goes to Small, sustainable, steps to success as a scholar in Health Professions Education – Micro (macro and meta) matters.
Congratulations, A/Prof Goh Poh-Sun & Dr Elisabeth Schlegel! - Best Article Award 2023
The Best Article Award of 2023 goes to Increasing the value of Community-Based Education through Interprofessional Education.
Congratulations, Dr Tri Nur Kristina and co-authors! - Volume 9 Number 1 of TAPS is out now! Click on the Current Issue to view our digital edition.
- Best Reviewer Awards 2022
TAPS would like to express gratitude and thanks to an extraordinary group of reviewers who are awarded the Best Reviewer Awards for 2022.
Refer here for the list of recipients. - Most Accessed Article 2022
The Most Accessed Article of 2022 goes to An urgent need to teach complexity science to health science students.
Congratulations, Dr Bhuvan KC and Dr Ravi Shankar. - Best Article Award 2022
The Best Article Award of 2022 goes to From clinician to educator: A scoping review of professional identity and the influence of impostor phenomenon.
Congratulations, Ms Freeman and co-authors. - Volume 8 Number 3 of TAPS is out now! Click on the Current Issue to view our digital edition.
- Best Reviewer Awards 2021
TAPS would like to express gratitude and thanks to an extraordinary group of reviewers who are awarded the Best Reviewer Awards for 2021.
Refer here for the list of recipients. - Most Accessed Article 2021
The Most Accessed Article of 2021 goes to Professional identity formation-oriented mentoring technique as a method to improve self-regulated learning: A mixed-method study.
Congratulations, Assoc/Prof Matsuyama and co-authors. - Best Reviewer Awards 2020
TAPS would like to express gratitude and thanks to an extraordinary group of reviewers who are awarded the Best Reviewer Awards for 2020.
Refer here for the list of recipients. - Most Accessed Article 2020
The Most Accessed Article of 2020 goes to Inter-related issues that impact motivation in biomedical sciences graduate education. Congratulations, Dr Chen Zhi Xiong and co-authors.