Journal of Advances in Medical Education & Professionalism

Integrating Artificial Intelligence in Medical Education: A Meta-Synthesis of Potentials and Pitfalls of ChatGPT

AHMAD KEYKHA; BEHESHTEH FAZLALI; SARA BEHRAVESH; ZOHREH FARAHMANDPOUR

Volume 13, Issue 3 , July 2025, , Pages 155-172

https://doi.org/10.30476/jamp.2024.104617.2071

Abstract

Introduction: ChatGPT serves as a double-edged sword in education, offering either constructive information or potential challenges. Its impact ranges from being a transformative tool ... Read More Introduction: ChatGPT serves as a double-edged sword in education, offering either constructive information or potential challenges. Its impact ranges from being a transformative tool to a disruptive force, making it difficult to evaluate its educational efficacy comprehensively. In light of this complexity, the primary aim of this research was to investigate the opportunities and challenges associated with the integration of ChatGPT into the domain of medical education.Methods: The study utilized the Interaction Equivalency Theorem as its conceptual framework to guide the investigation. To achieve the research objectives, a meta-synthesis of the literature wasconducted to systematically integrate the findings of selected studies. Data collection involved comprehensive searches across specialized academic databases, including Science Direct, Springer, ERIC, Emerald, SAGE, Wiley Online Library, PubMed, and Google Scholar, focusing on publications from 2022 to 2024. 88 articles were meticulously selected based on their relevanceto the research topic. The data were then subjected to thematic analysis, facilitating the extraction of key insights and patterns to address the study objectives.Results: The findings were organized into four primary subthemes highlighting the opportunities presented by ChatGPT in medical education. These sub-themes encompassed benefits for educators, learners, curriculum development, and the learning process. Similarly, the challenges related to the integration of ChatGPT were categorized into four primary sub-themes: addressing the difficulties experienced by educators, learners, curriculum development, and the learning process. Together, these challenges were further delineated into 11 secondary sub-themes,offering a comprehensive analysis of the complexities involved.Conclusion: The findings suggest that improving educational efficiency, assisting with self-development, enhancing communication skills, creating and expanding curriculum, and improving the learning environment are opportunities for utilizing ChatGPT. The study outcomes also reveal that lack of technological knowledge, negative attitudes, reduction in education quality, diminishing students’ capabilities, reducing learning quality, flaws in learning development, difficulties in designing educational content, and bias in learning evaluation are challenges of applying ChatGPT in medical education.

The Advantages and Challenges of Electronic Exams: A Qualitative Research based on Shannon Entropy Technique

AHMAD KEYKHA; MASOOMEH IMANIPOUR; JAFAR SHAHROKHI; MOEIN AMIRI

Volume 13, Issue 1 , January 2025, , Pages 1-11

https://doi.org/10.30476/jamp.2024.102951.1987

Abstract

Introduction: The electronic exam is one of the foremost imperative instruments for evaluating students’ execution. Accordingly, this study aimed to identify the advantages and ... Read More

ChatGPT and Medical Research: A Meta-Synthesis of Opportunities and Challenges

AHMAD KEYKHA; SARA BEHRAVESH; FERESHTEH GHAEMI

Volume 12, Issue 3 , July 2024, , Pages 135-147

https://doi.org/10.30476/jamp.2024.101068.1910

Abstract

Introduction: The utility of ChatGPT in research is ambiguous, serving as both a boon and bane and presenting challenges and opportunities. Accordingly, this study aimed to delineate ... Read More Introduction: The utility of ChatGPT in research is ambiguous, serving as both a boon and bane and presenting challenges and opportunities. Accordingly, this study aimed to delineate themerits and demerits of ChatGPT within the realm of research.Methods: A meta-synthesis methodology involving a seven-step process was adopted to pursue the research objectives. Data were collected from comprehensive studies across specialized research databases, such as Science Direct, Springer, Eric, Emerald, Sage Journals, Wiley Online Library, PubMed, and Google Scholar, within the time frame spanning from 2022 to 2023. A total of 57 articles were meticulously chosen for analysis through judgmental sampling. Subsequently, key concepts were distilled from these articles and categorized using the thematic analysis approach while considering Karl Llewellyn’s octagonal model from 1963.Results: The outcomes underwent scrutiny employing the thematic analysis strategy devised by Wolcott. The results about the capabilities and constraints of ChatGPT encompass eight dimensions, including formulating the research problem, reviewing relevant literature, selecting an appropriate research design, defining the population and choosing the sample, collecting data, analyzing data, interpreting data, and discussing and drawing conclusions. The credibility of these dimensions was substantiated through adherence to the criteria established by Lincoln and Guba.Conclusion: ChatGPT manifests myriad potentialities and constraints within the research purview based on the results. In light of the expeditious progression of artificial intelligence acrossmultifarious domains, integrating this technological paradigm in research becomes an inexorable imperative, and excluding its use in research is untenable. Thus, policymakers and higher education strategists should devise policies that harness ChatGPT’s potential in research endeavors, engendering many opportunities.

Rearrangement of mentoring components for Student Achievement of medical universities

AHMAD KEYKHA; ELHAM KEYKHA

Volume 10, Issue 3 , July 2022, , Pages 179-190

https://doi.org/10.30476/jamp.2022.93404.1526

Abstract

Introduction: Mentoring programs are the most important factor in the achievement of students’ human capital. However, in Iran’s higher health education system, these initiatives ... Read More

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Author = AHMAD KEYKHA

Integrating Artificial Intelligence in Medical Education: A Meta-Synthesis of Potentials and Pitfalls of ChatGPT

Abstract

The Advantages and Challenges of Electronic Exams: A Qualitative Research based on Shannon Entropy Technique

Abstract

ChatGPT and Medical Research: A Meta-Synthesis of Opportunities and Challenges

Abstract

Rearrangement of mentoring components for Student Achievement of medical universities

Abstract