Journal of Advances in Medical Education & Professionalism

Review article

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.

Review article

Study of Deep Learning in Medical Education: Opportunities, Achievements and Future Challenges

HOSSEIN MORADIMOKHLES; GWO-JEN HWANG; HOSSEIN ZANGENEH; MARYAM POURJAMSHIDI; AMIR HOSSEIN AMOOEIRAZANI

Volume 12, Issue 3 , July 2024, Pages 148-162

https://doi.org/10.30476/jamp.2024.99740.1853

Abstract

Introduction: In this era of progress, interest has developed regarding advancing deep learning (DL) in medicine. However, there has been reluctance to use deep learning, particularly ... Read More Introduction: In this era of progress, interest has developed regarding advancing deep learning (DL) in medicine. However, there has been reluctance to use deep learning, particularly among medical educators. The limitations of previous research were examined in this study, along with the extent to which DL can be used in medical education and its potential impact on educational quality. We were interested in discussing DL’s prospects, and determining whether we could benefit from it in medical education.Methods: Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol was used to manage this review procedure. Six databases were searched carefully to obtain relevant studies. Our search identified 981 articles from the database based on our standards. After filtering the duplicated articles, 11 studies were included in the systematic review. Results: The results showed that DL applications attracted researchers’ attention in the medical and education technology owing to their effectiveness to provide the personalized assistanceand feedback. Furthermore, the majority of research concentrated on teaching medical students how to utilize DL applications in the classroom, and all of them tried to improve medical students’proficiency with DL instruments in practical applications. Deep learning components in medical learning environments have two segments—in the educational settings like speech recognitionor Video content analysis for affecting students’ learning, and in the medical settings, applying deep learning from diagnosis to prevention. An integration of them can work better in medicaleducation.Conclusion: Medical education uses DL to improve the students’ education. DL is a powerful instrument which has become more famous in terms of superb outcomes. Besides, using DL in medical education is likely to continue as a hotly debated area of research and a well-known classroom strategy.

Original Article

Empowering Medical Education: Unveiling the Impact of Reflective Writing and Tailored Assessment on Deep Learning

PUJA DULLOO; NEERAJ VEDI; MINAL PATEL; SUMAN SINGH

Volume 12, Issue 3 , July 2024, Pages 163-171

https://doi.org/10.30476/jamp.2024.101594.1938

Abstract

Introduction: Reflective thinking offers learners insight and encourages deeper understanding by leveraging past experiences. This study explores the impact of reflective writing, a ... Read More

Original Article

A Four-Axis-Method to Evaluate a Part of an Undergraduate Medical Students’ Curriculum

MONA MLIKA; SARRA CHEIKHROUHOU; ABDERRAOUF BEN MANSOUR; FAOUZI MEZNI; MOHAMED HÉDI LOUESLATI; IHEB LABBENE; MOHAMED JOUINI

Volume 12, Issue 3 , July 2024, Pages 172-179

https://doi.org/10.30476/jamp.2023.100837.1901

Abstract

Introduction: The evaluation of programs in faculties of medicine enables them to adequately reach their mission objectives, and social responsibilities and to correct their potential ... Read More Introduction: The evaluation of programs in faculties of medicine enables them to adequately reach their mission objectives, and social responsibilities and to correct their potential lacune. Fewpublications have described the process of internal evaluation of a program performed by the organizational members. The authors aimed to describe a practical method called the four-axis method to assess curriculum using a practical example.Methods: The authors performed a descriptive study, highlighting the application of a particular method of evaluation of a program called the four-axis method. It consisted of the assessment of the pedagogical alignment [1], teaching techniques and evaluation tests [2], students’ viewpoints and needs [3], and the teachers’ opinions and needs [4]. To contextualize this method, the authors described a practical experience of the assessment of a multidisciplinary theme (theme 16), which is taught during the second year of medical education. Was performed the evaluation from January 2020 to January 2021. The population studied consisted of the tutors implicated in the teaching of the theme and the students in the second year of medical education who accepted to answer the satisfaction questionnaires. The students and tutors who did not fill out the questionnaires were excluded. No statistical tests were needed because of the descriptive nature of the study. Results: The most relevant results highlighted that 48.4% of the teachers did not systematically use bioclinical cases involving interactions between students; also, 42.4% of the students believedthat the teaching sessions didn’t introduce practical examples giving rise to interactions between them. Therefore, the 4-axisbased analysis indicated that weaknesses were mostly attributedto the lack of homogeneity in the teaching methods and techniques which showed the teachers’ difficulties in integrating clinical data into their teaching so that they can help the students to assimilate the fundamental data.Conclusion: The authors’ used a particular approach since it focused both on an objective evaluation of the teaching methods and the evaluation tests and the students’ and teachers’ viewpoints and needs. The major limitation of this approach was the fact that itcould not integrate the educational environment that could impact the students’ performances.

Original Article

Roles of Two Learning Methods in the Perceived Competence of Surgery and Quality of Teaching: A Quasi-experimental Study among Operating Room Nursing Students

SINA GHASEMI; BEHZAD IMANI; ALIREZA JAFARKHANI; HOSSEIN HOSSEINEFARD

Volume 12, Issue 3 , July 2024, Pages 180-188

https://doi.org/10.30476/jamp.2024.101481.1932

Abstract

Introduction: Nowadays, Clinical courses are meticulously structured to give students essential opportunities to elevate their professional qualifications, so that the patients’ ... Read More Introduction: Nowadays, Clinical courses are meticulously structured to give students essential opportunities to elevate their professional qualifications, so that the patients’ safety is protected and their conditions improve. Given the many challenges in the clinical environment of the operating room, this study was conducted to compare the impact of team-based and task-based learning methods in the clinical settings on the perceived competence of surgery and the quality of training from the operating room nursing students’ point of view∙Methods: This quasi-experimental study was conducted on fifty 5th semester operating room technology students at Hamadan University of Medical Sciences in 2023. In this study, studentswere selected using the convenience sampling method and placed in two educational groups (team-based and task-based) of 25 subjects using the matching method. After implementing thetraining process in the operating room setting, the data related to the study were collected using the valid questionnaires of perceived competence in surgery (Cronbach’s alpha=0.86) andquality of education (Cronbach’s alpha=0.94). Also, the data analysis was conducted at the descriptive and inferential (included independent t-test and analysis of covariance) statistics level using SPSS version 16 software. Results: Findings showed that the mean clinical training quality score was significantly higher in the team-based learning group than in the other group (P=0.014). Also, after the medianintervention, the perceived competence score of surgery was higher in the task-based learning group than in the team-based group, and the difference in the average change of the competence score between the two groups was statistically significant (P<0.001).Conclusion: Based on the results, it is suggested that a task-based learning method should be used for the clinical instructors to increase level of the perceived competence of the surgery among operating roon nursing students.

Original Article

Design and Effect of Neurosurgical Educational Software Using Gamification on Students’ Learning and Motivation

SEDIGHEH HANNANI; MAHDIEH SALEHI; FARDIN AMIRI; NEMAM ALI AZADI

Volume 12, Issue 3 , July 2024, Pages 189-198

https://doi.org/10.30476/jamp.2024.101115.1917

Abstract

Introduction: Gamification is an innovative learning approach that, when combined with technology, aligns well with students’ preferences. Recognizing the necessity of employing ... Read More

Original Article

Investigating the Effect of Online Gamification on Electrocardiogram Interpretation and Self-Directed Learning in Nursing Students

HAMID TAGHINEJAD; MOSAYEB MOZAFARI; AMIRREZA BAZHDAN; ALIREZA VASIEE

Volume 12, Issue 3 , July 2024, Pages 199-207

https://doi.org/10.30476/jamp.2024.101396.1925

Abstract

Introduction: Knowing and interpreting the Electrocardiogram correctly and taking care based on it is one of the most important ways to save the patient’s life. Therefore, this ... Read More Introduction: Knowing and interpreting the Electrocardiogram correctly and taking care based on it is one of the most important ways to save the patient’s life. Therefore, this study aimed toinvestigate the effect of online gamification on the ability to interpret Electrocardiograms and Self-Directed Learning in nursing students.Methods: The present study was carried out quasi-experimentally on 44 nursing students (22 participants for each group) in the fifth semester in Ilam city in 2023 using a convenience sampling method by four permutations balanced block randomization to control and intervention groups. During four sessions in four weeks, the participants in the intervention group receivedElectrocardiogram interpretation as training on the Storyline platform and playing games in the Socrative software. The control group received the same content in the form of education from the same lecturer. ECG Interpretation Learning Test, Self-Directed Learning, Mini-Mental Status Examination, and demographic questionnaires were filled out before the intervention (pre-test).Then, Electrocardiogram Interpretation Learning Test and Self-Directed Learning questionnaires were completed two weeks after the end of the intervention (post-test), and the data were analyzed in the standard error of 0.05 using Shapiro-Wilk, independent t-test, paired t-test, chi-square, and multiple linear regression tests in SPSS V.16. Results: The mean and standard deviation of the participants’age was 21.35±1.02, and 59% of the samples were male. Before the intervention, no significant difference was observed between the two groups, but after the intervention, the mean and standard deviation of the ECG interpretation scores in the intervention group increased significantly (14.1±2.94) compared to the control group (8.8±1.36) (P=0.007). Also, Self-Directed Learning in the intervention group (168±10.42) compared to the control group (125±4.3) showed a statistically significant difference (P=0.003).Conclusion: Using online gamification as a new educational method in nursing students improves the ability to interpret Electrocardiograms and Self-Directed Learning. It is suggested that this method should be used to teach lessons that are more useful and important at the hospital.

Commentary

The Transformative Impact of Stealth Assessment on Medical Education

AMIN HABIBI; EHSAN TOOFANINEJAD; SEYED AHMAD RAHIMI; MASOMEH KALANTARION

Volume 12, Issue 3 , July 2024, Pages 208-210

https://doi.org/10.30476/jamp.2024.101479.1931

Abstract

This Letter explores the transformative impact of stealth assessment on medical education and its potential to enhance learning outcomes. Stealth assessment, an innovative approach, ... Read More

Letter to Editor

Expressing degrees of uncertainty in medical discourse: Hedging revisited

FARZANEH SHOMOOSSI; NASRIN SHOKRPOUR

Volume 12, Issue 3 , July 2024, Pages 211-213

https://doi.org/10.30476/jamp.2024.101282.1919

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Volume & Issue: Volume 12, Issue 3, July 2024, Pages 135-213

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

Abstract

Study of Deep Learning in Medical Education: Opportunities, Achievements and Future Challenges

Abstract

Empowering Medical Education: Unveiling the Impact of Reflective Writing and Tailored Assessment on Deep Learning

Abstract

A Four-Axis-Method to Evaluate a Part of an Undergraduate Medical Students’ Curriculum

Abstract

Roles of Two Learning Methods in the Perceived Competence of Surgery and Quality of Teaching: A Quasi-experimental Study among Operating Room Nursing Students

Abstract

Design and Effect of Neurosurgical Educational Software Using Gamification on Students’ Learning and Motivation

Abstract

Investigating the Effect of Online Gamification on Electrocardiogram Interpretation and Self-Directed Learning in Nursing Students

Abstract

The Transformative Impact of Stealth Assessment on Medical Education

Abstract

Expressing degrees of uncertainty in medical discourse: Hedging revisited

Abstract