RESUMEN
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 the merits 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 across multifarious 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.
RESUMEN
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 have received less attention. The goal of this research is to reorganize the components of mentoring for medical university student achievement. Methods: This qualitative study was conducted using a Meta synthesis method. Keywords of mentoring medical students, mentoring academics students, human capital development, student development, and mentoring were searched in database: Science Direct, Springer, Wiley Online Library, ERIC, Sage, Emerald, Pub Med from 2000 to 2021. Out of total 91 studies, finally 51 studies were selected. Results: The findings are divided into two parts. The first part deals with the characteristics of faculty members and students in the mentoring programs of medical universities. These features include student-specific characteristics, faculty-specific characteristics and common characteristics. In the second part of findings, the components of mentoring programs were extracted. These components include university, communication, soft capacities; before the implementation of the program, during program implementation, monitoring and evaluation of program implementation, and consequences of program implementation. Conclusion: The suggested components should be examined by managers of the higher health education system for student human capital development due to the relevance of mentoring programs in the development of medical students' human capital.
