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Discovering social learning ecosystems during clinical clerkship from United States medical students’ feedback encounters: a content analysis
Anna T. Cianciolo, Heeyoung Han, Lydia A. Howes, Debra L. Klamen, Sophia Matos
J Educ Eval Health Prof. 2024;21:5.   Published online February 28, 2024
DOI: https://doi.org/10.3352/jeehp.2024.21.5    [Epub ahead of print]
  • 41 View
  • 11 Download
AbstractAbstract PDF
Purpose
We examined United States medical students’ self-reported feedback encounters during clerkship training to better understand in situ feedback practices. Specifically, we asked: Who do students receive feedback from, about what, when, where, and how do they use it? We explored whether curricular expectations for preceptors’ written commentary aligned with feedback as it occurs naturalistically in the workplace.
Methods
This study occurred from July 2021 to February 2022 at Southern Illinois University School of Medicine. We used qualitative survey-based experience sampling to gather students’ accounts of their feedback encounters in 8 core specialties. We analyzed the who, what, when, where, and why of 267 feedback encounters reported by 11 clerkship students over 30 weeks. Code frequencies were mapped qualitatively to explore patterns in feedback encounters.
Results
Clerkship feedback occurs in patterns apparently related to the nature of clinical work in each specialty. These patterns may be attributable to each specialty’s social learning ecosystem—the distinctive learning environment shaped by the social and material aspects of a given specialty’s work, which determine who preceptors are, what students do with preceptors, and what skills or attributes matter enough to preceptors to comment on.
Conclusion
Comprehensive, standardized expectations for written feedback across specialties conflict with the reality of workplace-based learning. Preceptors may be better able—and more motivated—to document student performance that occurs as a natural part of everyday work. Nurturing social learning ecosystems could facilitate workplace-based learning such that, across specialties, students acquire a comprehensive clinical skillset appropriate for graduation.
Effect of a transcultural nursing course on improving the cultural competency of nursing graduate students in Korea: a before-and-after study
Kyung Eui Bae, Geum Hee Jeong
J Educ Eval Health Prof. 2023;20:35.   Published online December 4, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.35
  • 440 View
  • 100 Download
AbstractAbstract PDFSupplementary Material
Purpose
This study aimed to evaluate the impact of a transcultural nursing course on enhancing the cultural competency of graduate nursing students in Korea. We hypothesized that participants’ cultural competency would significantly improve in areas such as communication, biocultural ecology and family, dietary habits, death rituals, spirituality, equity, and empowerment and intermediation after completing the course. Furthermore, we assessed the participants’ overall satisfaction with the course.
Methods
A before-and-after study was conducted with graduate nursing students at Hallym University, Chuncheon, Korea, from March to June 2023. A transcultural nursing course was developed based on Giger & Haddad’s transcultural nursing model and Purnell’s theoretical model of cultural competence. Data was collected using a cultural competence scale for registered nurses developed by Kim and his colleagues. A total of 18 students participated, and the paired t-test was employed to compare pre-and post-intervention scores.
Results
The study revealed significant improvements in all 7 categories of cultural nursing competence (P<0.01). Specifically, the mean differences in scores (pre–post) ranged from 0.74 to 1.09 across the categories. Additionally, participants expressed high satisfaction with the course, with an average score of 4.72 out of a maximum of 5.0.
Conclusion
The transcultural nursing course effectively enhanced the cultural competency of graduate nursing students. Such courses are imperative to ensure quality care for the increasing multicultural population in Korea.
Effect of motion-graphic video-based training on the performance of operating room nurse students in cataract surgery in Iran: a randomized controlled study
Behnaz Fatahi, Samira Fatahi, Sohrab Nosrati, Masood Bagheri
J Educ Eval Health Prof. 2023;20:34.   Published online November 28, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.34
  • 667 View
  • 68 Download
AbstractAbstract PDFSupplementary Material
Purpose
The present study was conducted to determine the effect of motion-graphic video-based training on the performance of operating room nurse students in cataract surgery using phacoemulsification at Kermanshah University of Medical Sciences in Iran.
Methods
This was a randomized controlled study conducted among 36 students training to become operating room nurses. The control group only received routine training, and the intervention group received motion-graphic video-based training on the scrub nurse’s performance in cataract surgery in addition to the educator’s training. The performance of the students in both groups as scrub nurses was measured through a researcher-made checklist in a pre-test and a post-test.
Results
The mean scores for performance in the pre-test and post-test were 17.83 and 26.44 in the control group and 18.33 and 50.94 in the intervention group, respectively, and a significant difference was identified between the mean scores of the pre- and post-test in both groups (P=0.001). The intervention also led to a significant increase in the mean performance score in the intervention group compared to the control group (P=0.001).
Conclusion
Considering the significant difference in the performance score of the intervention group compared to the control group, motion-graphic video-based training had a positive effect on the performance of operating room nurse students, and such training can be used to improve clinical training.
Brief report
ChatGPT (GPT-3.5) as an assistant tool in microbial pathogenesis studies in Sweden: a cross-sectional comparative study  
Catharina Hultgren, Annica Lindkvist, Volkan Özenci, Sophie Curbo
J Educ Eval Health Prof. 2023;20:32.   Published online November 22, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.32
  • 513 View
  • 77 Download
  • 1 Crossref
AbstractAbstract PDFSupplementary Material
ChatGPT (GPT-3.5) has entered higher education and there is a need to determine how to use it effectively. This descriptive study compared the ability of GPT-3.5 and teachers to answer questions from dental students and construct detailed intended learning outcomes. When analyzed according to a Likert scale, we found that GPT-3.5 answered the questions from dental students in a similar or even more elaborate way compared to the answers that had previously been provided by a teacher. GPT-3.5 was also asked to construct detailed intended learning outcomes for a course in microbial pathogenesis, and when these were analyzed according to a Likert scale they were, to a large degree, found irrelevant. Since students are using GPT-3.5, it is important that instructors learn how to make the best use of it both to be able to advise students and to benefit from its potential.

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  • Information amount, accuracy, and relevance of generative artificial intelligence platforms’ answers regarding learning objectives of medical arthropodology evaluated in English and Korean queries in December 2023: a descriptive study
    Hyunju Lee, Soobin Park
    Journal of Educational Evaluation for Health Professions.2023; 20: 39.     CrossRef
Research articles
Medical students’ patterns of using ChatGPT as a feedback tool and perceptions of ChatGPT in a Leadership and Communication course in Korea: a cross-sectional study  
Janghee Park
J Educ Eval Health Prof. 2023;20:29.   Published online November 10, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.29
  • 924 View
  • 105 Download
  • 1 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
This study aimed to analyze patterns of using ChatGPT before and after group activities and to explore medical students’ perceptions of ChatGPT as a feedback tool in the classroom.
Methods
The study included 99 2nd-year pre-medical students who participated in a “Leadership and Communication” course from March to June 2023. Students engaged in both individual and group activities related to negotiation strategies. ChatGPT was used to provide feedback on their solutions. A survey was administered to assess students’ perceptions of ChatGPT’s feedback, its use in the classroom, and the strengths and challenges of ChatGPT from May 17 to 19, 2023.
Results
The students responded by indicating that ChatGPT’s feedback was helpful, and revised and resubmitted their group answers in various ways after receiving feedback. The majority of respondents expressed agreement with the use of ChatGPT during class. The most common response concerning the appropriate context of using ChatGPT’s feedback was “after the first round of discussion, for revisions.” There was a significant difference in satisfaction with ChatGPT’s feedback, including correctness, usefulness, and ethics, depending on whether or not ChatGPT was used during class, but there was no significant difference according to gender or whether students had previous experience with ChatGPT. The strongest advantages were “providing answers to questions” and “summarizing information,” and the worst disadvantage was “producing information without supporting evidence.”
Conclusion
The students were aware of the advantages and disadvantages of ChatGPT, and they had a positive attitude toward using ChatGPT in the classroom.

Citations

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  • ChatGPT and Clinical Training: Perception, Concerns, and Practice of Pharm-D Students
    Mohammed Zawiah, Fahmi Al-Ashwal, Lobna Gharaibeh, Rana Abu Farha, Karem Alzoubi, Khawla Abu Hammour, Qutaiba A Qasim, Fahd Abrah
    Journal of Multidisciplinary Healthcare.2023; Volume 16: 4099.     CrossRef
  • Information amount, accuracy, and relevance of generative artificial intelligence platforms’ answers regarding learning objectives of medical arthropodology evaluated in English and Korean queries in December 2023: a descriptive study
    Hyunju Lee, Soobin Park
    Journal of Educational Evaluation for Health Professions.2023; 20: 39.     CrossRef
Development and validation of the student ratings in clinical teaching scale in Australia: a methodological study  
Pin-Hsiang Huang, Anthony John O’Sullivan, Boaz Shulruf
J Educ Eval Health Prof. 2023;20:26.   Published online September 5, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.26
  • 719 View
  • 105 Download
AbstractAbstract PDFSupplementary Material
Purpose
This study aimed to devise a valid measurement for assessing clinical students’ perceptions of teaching practices.
Methods
A new tool was developed based on a meta-analysis encompassing effective clinical teaching-learning factors. Seventy-nine items were generated using a frequency (never to always) scale. The tool was applied to the University of New South Wales year 2, 3, and 6 medical students. Exploratory and confirmatory factor analysis (exploratory factor analysis [EFA] and confirmatory factor analysis [CFA], respectively) were conducted to establish the tool’s construct validity and goodness of fit, and Cronbach’s α was used for reliability.
Results
In total, 352 students (44.2%) completed the questionnaire. The EFA identified student-centered learning, problem-solving learning, self-directed learning, and visual technology (reliability, 0.77 to 0.89). CFA showed acceptable goodness of fit (chi-square P<0.01, comparative fit index=0.930 and Tucker-Lewis index=0.917, root mean square error of approximation=0.069, standardized root mean square residual=0.06).
Conclusion
The established tool—Student Ratings in Clinical Teaching (STRICT)—is a valid and reliable tool that demonstrates how students perceive clinical teaching efficacy. STRICT measures the frequency of teaching practices to mitigate the biases of acquiescence and social desirability. Clinical teachers may use the tool to adapt their teaching practices with more active learning activities and to utilize visual technology to facilitate clinical learning efficacy. Clinical educators may apply STRICT to assess how these teaching practices are implemented in current clinical settings.
Experience of introducing an electronic health records station in an objective structured clinical examination to evaluate medical students’ communication skills in Canada: a descriptive study  
Kuan-chin Jean Chen, Ilona Bartman, Debra Pugh, David Topps, Isabelle Desjardins, Melissa Forgie, Douglas Archibald
J Educ Eval Health Prof. 2023;20:22.   Published online July 4, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.22
  • 2,472 View
  • 131 Download
AbstractAbstract PDFSupplementary Material
Purpose
There is limited literature related to the assessment of electronic medical record (EMR)-related competencies. To address this gap, this study explored the feasibility of an EMR objective structured clinical examination (OSCE) station to evaluate medical students’ communication skills by psychometric analyses and standardized patients’ (SPs) perspectives on EMR use in an OSCE.
Methods
An OSCE station that incorporated the use of an EMR was developed and pilot-tested in March 2020. Students’ communication skills were assessed by SPs and physician examiners. Students’ scores were compared between the EMR station and 9 other stations. A psychometric analysis, including item total correlation, was done. SPs participated in a post-OSCE focus group to discuss their perception of EMRs’ effect on communication.
Results
Ninety-nine 3rd-year medical students participated in a 10-station OSCE that included the use of the EMR station. The EMR station had an acceptable item total correlation (0.217). Students who leveraged graphical displays in counseling received higher OSCE station scores from the SPs (P=0.041). The thematic analysis of SPs’ perceptions of students’ EMR use from the focus group revealed the following domains of themes: technology, communication, case design, ownership of health information, and timing of EMR usage.
Conclusion
This study demonstrated the feasibility of incorporating EMR in assessing learner communication skills in an OSCE. The EMR station had acceptable psychometric characteristics. Some medical students were able to efficiently use the EMRs as an aid in patient counseling. Teaching students how to be patient-centered even in the presence of technology may promote engagement.
Factors influencing the learning transfer of nursing students in a non-face-to-face educational environment during the COVID-19 pandemic in Korea: a cross-sectional study using structural equation modeling  
Geun Myun Kim, Yunsoo Kim, Seong Kwang Kim
J Educ Eval Health Prof. 2023;20:14.   Published online April 27, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.14
  • 1,217 View
  • 139 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
The aim of this study was to identify factors influencing the learning transfer of nursing students in a non-face-to-face educational environment through structural equation modeling and suggest ways to improve the transfer of learning.
Methods
In this cross-sectional study, data were collected via online surveys from February 9 to March 1, 2022, from 218 nursing students in Korea. Learning transfer, learning immersion, learning satisfaction, learning efficacy, self-directed learning ability and information technology utilization ability were analyzed using IBM SPSS for Windows ver. 22.0 and AMOS ver. 22.0.
Results
The assessment of structural equation modeling showed adequate model fit, with normed χ2=1.74 (P<0.024), goodness-of-fit index=0.97, adjusted goodness-of-fit index=0.93, comparative fit index=0.98, root mean square residual=0.02, Tucker-Lewis index=0.97, normed fit index=0.96, and root mean square error of approximation=0.06. In a hypothetical model analysis, 9 out of 11 pathways of the hypothetical structural model for learning transfer in nursing students were statistically significant. Learning self-efficacy and learning immersion of nursing students directly affected learning transfer, and subjective information technology utilization ability, self-directed learning ability, and learning satisfaction were variables with indirect effects. The explanatory power of immersion, satisfaction, and self-efficacy for learning transfer was 44.4%.
Conclusion
The assessment of structural equation modeling indicated an acceptable fit. It is necessary to improve the transfer of learning through the development of a self-directed program for learning ability improvement, including the use of information technology in nursing students’ learning environment in non-face-to-face conditions.

Citations

Citations to this article as recorded by  
  • The Mediating Effect of Perceived Institutional Support on Inclusive Leadership and Academic Loyalty in Higher Education
    Olabode Gbobaniyi, Shalini Srivastava, Abiodun Kolawole Oyetunji, Chiemela Victor Amaechi, Salmia Binti Beddu, Bajpai Ankita
    Sustainability.2023; 15(17): 13195.     CrossRef
  • Transfer of Learning of New Nursing Professionals: Exploring Patterns and the Effect of Previous Work Experience
    Helena Roig-Ester, Paulina Elizabeth Robalino Guerra, Carla Quesada-Pallarès, Andreas Gegenfurtner
    Education Sciences.2023; 14(1): 52.     CrossRef
Students’ performance of and perspective on an objective structured practical examination for the assessment of preclinical and practical skills in biomedical laboratory science students in Sweden: a 5-year longitudinal study  
Catharina Hultgren, Annica Lindkvist, Sophie Curbo, Maura Heverin
J Educ Eval Health Prof. 2023;20:13.   Published online April 6, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.13
  • 1,113 View
  • 113 Download
AbstractAbstract PDFSupplementary Material
Purpose
It aims to find students’ performance of and perspectives on an objective structured practical examination (OSPE) for assessment of laboratory and preclinical skills in biomedical laboratory science (BLS). It also aims to investigate the perception, acceptability, and usefulness of OSPE from the students’ and examiners’ point of view.
Methods
This was a longitudinal study to implement an OSPE in BLS. The student group consisted of 198 BLS students enrolled in semester 4, 2015–2019 at Karolinska University Hospital Huddinge, Sweden. Fourteen teachers evaluated the performance by completing a checklist and global rating scales. A student survey questionnaire was administered to the participants to evaluate the student perspective. To assess quality, 4 independent observers were included to monitor the examiners.
Results
Almost 50% of the students passed the initial OSPE. During the repeat OSPE, 73% of the students passed the OSPE. There was a statistically significant difference between the first and the second repeat OSPE (P<0.01) but not between the first and the third attempt (P=0.09). The student survey questionnaire was completed by 99 of the 198 students (50%) and only 63 students responded to the free-text questions (32%). According to these responses, some stations were perceived as more difficult, albeit they considered the assessment to be valid. The observers found the assessment protocols and examiner’s instructions assured the objectivity of the examination.
Conclusion
The introduction of an OSPE in the education of biomedical laboratory scientists was a reliable, and useful examination of practical skills.
Comparison of nursing students’ performance of cardiopulmonary resuscitation between 1 semester and 3 semesters of manikin simulations in the Czech Republic: a non-randomized controlled study  
Vera Spatenkova, Iveta Zvercova, Zdenek Jindrisek, Ivana Veverkova, Eduard Kuriscak
J Educ Eval Health Prof. 2023;20:9.   Published online March 31, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.9
  • 1,119 View
  • 83 Download
AbstractAbstract PDFSupplementary Material
Purpose
This study aimed to assess the effect of simulation teaching in critical care courses in a nursing study program on the quality of chest compressions of cardiopulmonary resuscitation (CPR).
Methods
An observational cross-sectional study was conducted at the Faculty of Health Studies at the Technical University of Liberec. The success rate of CPR was tested in exams comparing 2 groups of students, totaling 66 different individuals, who completed half a year (group 1: intermediate exam with model simulation) or 1.5 years (group 2: final theoretical critical care exam with model simulation) of undergraduate nursing critical care education taught completely with a Laerdal SimMan 3G simulator. The quality of CPR was evaluated according to 4 components: compression depth, compression rate, time of correct frequency, and time of correct chest release.
Results
Compression depth was significantly higher in group 2 than in group 1 (P=0.016). There were no significant differences in the compression rate (P=0.210), time of correct frequency (P=0.586), or time of correct chest release (P=0.514).
Conclusion
Nursing students who completed the final critical care exam showed an improvement in compression depth during CPR after 2 additional semesters of critical care teaching compared to those who completed the intermediate exam. The above results indicate that regularly scheduled CPR training is necessary during critical care education for nursing students.
Effect of a smartphone-based online electronic logbook to evaluate the clinical skills of nurse anesthesia students in Iran: a randomized controlled study  
Ali Khalafi, Nahid Jamshidi, Nasrin Khajeali, Saeed Ghanbari
J Educ Eval Health Prof. 2023;20:10.   Published online March 31, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.10
  • 1,371 View
  • 100 Download
AbstractAbstract PDFSupplementary Material
Purpose
This study was conducted to evaluate a smartphone-based online electronic logbook used to assess the clinical skills of nurse anesthesia students in Iran.
Methods
This randomized controlled study was conducted after tool development at Ahvaz Jundishapur University of Medical Sciences in Ahvaz, Iran from January 2022 to December 2022. The online electronic logbook involved in this study was an Android-compatible application used to evaluate the clinical skills of nurse anesthesia students. In the implementation phase, the online electronic logbook was piloted for 3 months in anesthesia training in comparison with a paper logbook. For this purpose, 49 second- and third-year anesthesia nursing students selected using the census method were assigned to intervention (online electronic logbook) and control (paper logbook) groups. The online electronic logbook and paper logbook were compared in terms of student satisfaction and learning outcomes.
Results
A total of 39 students participated in the study. The mean satisfaction score of the intervention group was significantly higher than that of the control group (P=0.027). The mean score of learning outcomes was also significantly higher for the intervention than the control group (P=0.028).
Conclusion
Smartphone technology can provide a platform for improving the evaluation of the clinical skills of nursing anesthesia students, leading to increased satisfaction and improved learning outcomes.
What impacts students’ satisfaction the most from Medicine Student Experience Questionnaire in Australia: a validity study  
Pin-Hsiang Huang, Gary Velan, Greg Smith, Melanie Fentoullis, Sean Edward Kennedy, Karen Jane Gibson, Kerry Uebel, Boaz Shulruf
J Educ Eval Health Prof. 2023;20:2.   Published online January 18, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.2
  • 1,277 View
  • 121 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
This study evaluated the validity of student feedback derived from Medicine Student Experience Questionnaire (MedSEQ), as well as the predictors of students’ satisfaction in the Medicine program.
Methods
Data from MedSEQ applying to the University of New South Wales Medicine program in 2017, 2019, and 2021 were analyzed. Confirmatory factor analysis (CFA) and Cronbach’s α were used to assess the construct validity and reliability of MedSEQ respectively. Hierarchical multiple linear regressions were used to identify the factors that most impact students’ overall satisfaction with the program.
Results
A total of 1,719 students (34.50%) responded to MedSEQ. CFA showed good fit indices (root mean square error of approximation=0.051; comparative fit index=0.939; chi-square/degrees of freedom=6.429). All factors yielded good (α>0.7) or very good (α>0.8) levels of reliability, except the “online resources” factor, which had acceptable reliability (α=0.687). A multiple linear regression model with only demographic characteristics explained 3.8% of the variance in students’ overall satisfaction, whereas the model adding 8 domains from MedSEQ explained 40%, indicating that 36.2% of the variance was attributable to students’ experience across the 8 domains. Three domains had the strongest impact on overall satisfaction: “being cared for,” “satisfaction with teaching,” and “satisfaction with assessment” (β=0.327, 0.148, 0.148, respectively; all with P<0.001).
Conclusion
MedSEQ has good construct validity and high reliability, reflecting students’ satisfaction with the Medicine program. Key factors impacting students’ satisfaction are the perception of being cared for, quality teaching irrespective of the mode of delivery and fair assessment tasks which enhance learning.

Citations

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  • Mental health and quality of life across 6 years of medical training: A year-by-year analysis
    Natalia de Castro Pecci Maddalena, Alessandra Lamas Granero Lucchetti, Ivana Lucia Damasio Moutinho, Oscarina da Silva Ezequiel, Giancarlo Lucchetti
    International Journal of Social Psychiatry.2023;[Epub]     CrossRef
Brief report
Are ChatGPT’s knowledge and interpretation ability comparable to those of medical students in Korea for taking a parasitology examination?: a descriptive study  
Sun Huh
J Educ Eval Health Prof. 2023;20:1.   Published online January 11, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.1
  • 10,062 View
  • 990 Download
  • 95 Web of Science
  • 55 Crossref
AbstractAbstract PDFSupplementary Material
This study aimed to compare the knowledge and interpretation ability of ChatGPT, a language model of artificial general intelligence, with those of medical students in Korea by administering a parasitology examination to both ChatGPT and medical students. The examination consisted of 79 items and was administered to ChatGPT on January 1, 2023. The examination results were analyzed in terms of ChatGPT’s overall performance score, its correct answer rate by the items’ knowledge level, and the acceptability of its explanations of the items. ChatGPT’s performance was lower than that of the medical students, and ChatGPT’s correct answer rate was not related to the items’ knowledge level. However, there was a relationship between acceptable explanations and correct answers. In conclusion, ChatGPT’s knowledge and interpretation ability for this parasitology examination were not yet comparable to those of medical students in Korea.

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  • Large Language Models and Artificial Intelligence: A Primer for Plastic Surgeons on the Demonstrated and Potential Applications, Promises, and Limitations of ChatGPT
    Jad Abi-Rafeh, Hong Hao Xu, Roy Kazan, Ruth Tevlin, Heather Furnas
    Aesthetic Surgery Journal.2024; 44(3): 329.     CrossRef
  • Unveiling the ChatGPT phenomenon: Evaluating the consistency and accuracy of endodontic question answers
    Ana Suárez, Víctor Díaz‐Flores García, Juan Algar, Margarita Gómez Sánchez, María Llorente de Pedro, Yolanda Freire
    International Endodontic Journal.2024; 57(1): 108.     CrossRef
  • Bob or Bot: Exploring ChatGPT's Answers to University Computer Science Assessment
    Mike Richards, Kevin Waugh, Mark Slaymaker, Marian Petre, John Woodthorpe, Daniel Gooch
    ACM Transactions on Computing Education.2024; 24(1): 1.     CrossRef
  • Examining the use of ChatGPT in public universities in Hong Kong: a case study of restricted access areas
    Michelle W. T. Cheng, Iris H. Y. YIM
    Discover Education.2024;[Epub]     CrossRef
  • Performance of ChatGPT on Ophthalmology-Related Questions Across Various Examination Levels: Observational Study
    Firas Haddad, Joanna S Saade
    JMIR Medical Education.2024; 10: e50842.     CrossRef
  • A comparative vignette study: Evaluating the potential role of a generative AI model in enhancing clinical decision‐making in nursing
    Mor Saban, Ilana Dubovi
    Journal of Advanced Nursing.2024;[Epub]     CrossRef
  • Comparison of the Performance of GPT-3.5 and GPT-4 With That of Medical Students on the Written German Medical Licensing Examination: Observational Study
    Annika Meyer, Janik Riese, Thomas Streichert
    JMIR Medical Education.2024; 10: e50965.     CrossRef
  • From hype to insight: Exploring ChatGPT's early footprint in education via altmetrics and bibliometrics
    Lung‐Hsiang Wong, Hyejin Park, Chee‐Kit Looi
    Journal of Computer Assisted Learning.2024;[Epub]     CrossRef
  • Applicability of ChatGPT in Assisting to Solve Higher Order Problems in Pathology
    Ranwir K Sinha, Asitava Deb Roy, Nikhil Kumar, Himel Mondal
    Cureus.2023;[Epub]     CrossRef
  • Issues in the 3rd year of the COVID-19 pandemic, including computer-based testing, study design, ChatGPT, journal metrics, and appreciation to reviewers
    Sun Huh
    Journal of Educational Evaluation for Health Professions.2023; 20: 5.     CrossRef
  • Emergence of the metaverse and ChatGPT in journal publishing after the COVID-19 pandemic
    Sun Huh
    Science Editing.2023; 10(1): 1.     CrossRef
  • Assessing the Capability of ChatGPT in Answering First- and Second-Order Knowledge Questions on Microbiology as per Competency-Based Medical Education Curriculum
    Dipmala Das, Nikhil Kumar, Langamba Angom Longjam, Ranwir Sinha, Asitava Deb Roy, Himel Mondal, Pratima Gupta
    Cureus.2023;[Epub]     CrossRef
  • Evaluating ChatGPT's Ability to Solve Higher-Order Questions on the Competency-Based Medical Education Curriculum in Medical Biochemistry
    Arindam Ghosh, Aritri Bir
    Cureus.2023;[Epub]     CrossRef
  • Overview of Early ChatGPT’s Presence in Medical Literature: Insights From a Hybrid Literature Review by ChatGPT and Human Experts
    Omar Temsah, Samina A Khan, Yazan Chaiah, Abdulrahman Senjab, Khalid Alhasan, Amr Jamal, Fadi Aljamaan, Khalid H Malki, Rabih Halwani, Jaffar A Al-Tawfiq, Mohamad-Hani Temsah, Ayman Al-Eyadhy
    Cureus.2023;[Epub]     CrossRef
  • ChatGPT for Future Medical and Dental Research
    Bader Fatani
    Cureus.2023;[Epub]     CrossRef
  • ChatGPT in Dentistry: A Comprehensive Review
    Hind M Alhaidry, Bader Fatani, Jenan O Alrayes, Aljowhara M Almana, Nawaf K Alfhaed
    Cureus.2023;[Epub]     CrossRef
  • Can we trust AI chatbots’ answers about disease diagnosis and patient care?
    Sun Huh
    Journal of the Korean Medical Association.2023; 66(4): 218.     CrossRef
  • Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions
    Alaa Abd-alrazaq, Rawan AlSaad, Dari Alhuwail, Arfan Ahmed, Padraig Mark Healy, Syed Latifi, Sarah Aziz, Rafat Damseh, Sadam Alabed Alrazak, Javaid Sheikh
    JMIR Medical Education.2023; 9: e48291.     CrossRef
  • Early applications of ChatGPT in medical practice, education and research
    Sam Sedaghat
    Clinical Medicine.2023; 23(3): 278.     CrossRef
  • A Review of Research on Teaching and Learning Transformation under the Influence of ChatGPT Technology
    璇 师
    Advances in Education.2023; 13(05): 2617.     CrossRef
  • Performance of GPT-3.5 and GPT-4 on the Japanese Medical Licensing Examination: Comparison Study
    Soshi Takagi, Takashi Watari, Ayano Erabi, Kota Sakaguchi
    JMIR Medical Education.2023; 9: e48002.     CrossRef
  • ChatGPT’s quiz skills in different otolaryngology subspecialties: an analysis of 2576 single-choice and multiple-choice board certification preparation questions
    Cosima C. Hoch, Barbara Wollenberg, Jan-Christoffer Lüers, Samuel Knoedler, Leonard Knoedler, Konstantin Frank, Sebastian Cotofana, Michael Alfertshofer
    European Archives of Oto-Rhino-Laryngology.2023; 280(9): 4271.     CrossRef
  • Analysing the Applicability of ChatGPT, Bard, and Bing to Generate Reasoning-Based Multiple-Choice Questions in Medical Physiology
    Mayank Agarwal, Priyanka Sharma, Ayan Goswami
    Cureus.2023;[Epub]     CrossRef
  • The Intersection of ChatGPT, Clinical Medicine, and Medical Education
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    JMIR Medical Education.2023; 9: e48433.     CrossRef
  • Assessing the Efficacy of ChatGPT in Solving Questions Based on the Core Concepts in Physiology
    Arijita Banerjee, Aquil Ahmad, Payal Bhalla, Kavita Goyal
    Cureus.2023;[Epub]     CrossRef
  • ChatGPT Performs on the Chinese National Medical Licensing Examination
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    Cureus.2023;[Epub]     CrossRef
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    JMIR Medical Education.2023; 9: e48785.     CrossRef
  • Exploring the impact of language models, such as ChatGPT, on student learning and assessment
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    Review of Education.2023;[Epub]     CrossRef
  • Evaluating the reliability of ChatGPT as a tool for imaging test referral: a comparative study with a clinical decision support system
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    European Radiology.2023;[Epub]     CrossRef
  • Redesigning Tertiary Educational Evaluation with AI: A Task-Based Analysis of LIS Students’ Assessment on Written Tests and Utilizing ChatGPT at NSTU
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    Science & Technology Libraries.2023; : 1.     CrossRef
  • ChatGPT and the AI revolution: a comprehensive investigation of its multidimensional impact and potential
    Mohd Afjal
    Library Hi Tech.2023;[Epub]     CrossRef
  • The Significance of Artificial Intelligence Platforms in Anatomy Education: An Experience With ChatGPT and Google Bard
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    Cureus.2023;[Epub]     CrossRef
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    Abhra Ghosh, Nandita Maini Jindal, Vikram K Gupta, Ekta Bansal, Navjot Kaur Bajwa, Abhishek Sett
    Cureus.2023;[Epub]     CrossRef
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    Cureus.2023;[Epub]     CrossRef
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    Journal of Educational Evaluation for Health Professions.2023; 20: 28.     CrossRef
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    JMIR Medical Education.2023; 9: e47191.     CrossRef
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    European Journal of Education.2023;[Epub]     CrossRef
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    Frontiers in Medicine.2023;[Epub]     CrossRef
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    Journal of Educational Evaluation for Health Professions.2023; 20: 29.     CrossRef
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    JMIR Medical Education.2023; 9: e50658.     CrossRef
  • Below average ChatGPT performance in medical microbiology exam compared to university students
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    Frontiers in Education.2023;[Epub]     CrossRef
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    Malaysian Journal of Medicine and Health Sciences.2023; 19(s12): 98.     CrossRef
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    Journal of Educational Evaluation for Health Professions.2023; 20: 38.     CrossRef
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Reviews
Factors associated with medical students’ scores on the National Licensing Exam in Peru: a systematic review  
Javier Alejandro Flores-Cohaila
J Educ Eval Health Prof. 2022;19:38.   Published online December 29, 2022
DOI: https://doi.org/10.3352/jeehp.2022.19.38
  • 2,657 View
  • 245 Download
  • 1 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
This study aimed to identify factors that have been studied for their associations with National Licensing Examination (ENAM) scores in Peru.
Methods
A search was conducted of literature databases and registers, including EMBASE, SciELO, Web of Science, MEDLINE, Peru’s National Register of Research Work, and Google Scholar. The following key terms were used: “ENAM” and “associated factors.” Studies in English and Spanish were included. The quality of the included studies was evaluated using the Medical Education Research Study Quality Instrument (MERSQI).
Results
In total, 38,500 participants were enrolled in 12 studies. Most (11/12) studies were cross-sectional, except for one case-control study. Three studies were published in peer-reviewed journals. The mean MERSQI was 10.33. A better performance on the ENAM was associated with a higher-grade point average (GPA) (n=8), internship setting in EsSalud (n=4), and regular academic status (n=3). Other factors showed associations in various studies, such as medical school, internship setting, age, gender, socioeconomic status, simulations test, study resources, preparation time, learning styles, study techniques, test-anxiety, and self-regulated learning strategies.
Conclusion
The ENAM is a multifactorial phenomenon; our model gives students a locus of control on what they can do to improve their score (i.e., implement self-regulated learning strategies) and faculty, health policymakers, and managers a framework to improve the ENAM score (i.e., design remediation programs to improve GPA and integrate anxiety-management courses into the curriculum).

Citations

Citations to this article as recorded by  
  • Performance of ChatGPT on the Peruvian National Licensing Medical Examination: Cross-Sectional Study
    Javier A Flores-Cohaila, Abigaíl García-Vicente, Sonia F Vizcarra-Jiménez, Janith P De la Cruz-Galán, Jesús D Gutiérrez-Arratia, Blanca Geraldine Quiroga Torres, Alvaro Taype-Rondan
    JMIR Medical Education.2023; 9: e48039.     CrossRef
Medical students’ satisfaction level with e-learning during the COVID-19 pandemic and its related factors: a systematic review  
Mahbubeh Tabatabaeichehr, Samane Babaei, Mahdieh Dartomi, Peiman Alesheikh, Amir Tabatabaee, Hamed Mortazavi, Zohreh Khoshgoftar
J Educ Eval Health Prof. 2022;19:37.   Published online December 20, 2022
DOI: https://doi.org/10.3352/jeehp.2022.19.37
  • 2,005 View
  • 182 Download
  • 5 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
This review investigated medical students’ satisfaction level with e-learning during the coronavirus disease 2019 (COVID-19) pandemic and its related factors.
Methods
A comprehensive systematic search was performed of international literature databases, including Scopus, PubMed, Web of Science, and Persian databases such as Iranmedex and Scientific Information Database using keywords extracted from Medical Subject Headings such as “Distance learning,” “Distance education,” “Online learning,” “Online education,” and “COVID-19” from the earliest date to July 10, 2022. The quality of the studies included in this review was evaluated using the appraisal tool for cross-sectional studies (AXIS tool).
Results
A total of 15,473 medical science students were enrolled in 24 studies. The level of satisfaction with e-learning during the COVID-19 pandemic among medical science students was 51.8%. Factors such as age, gender, clinical year, experience with e-learning before COVID-19, level of study, adaptation content of course materials, interactivity, understanding of the content, active participation of the instructor in the discussion, multimedia use in teaching sessions, adequate time dedicated to the e-learning, stress perception, and convenience had significant relationships with the satisfaction of medical students with e-learning during the COVID-19 pandemic.
Conclusion
Therefore, due to the inevitability of online education and e-learning, it is suggested that educational managers and policymakers choose the best online education method for medical students by examining various studies in this field to increase their satisfaction with e-learning.

Citations

Citations to this article as recorded by  
  • Factors affecting medical students’ satisfaction with online learning: a regression analysis of a survey
    Özlem Serpil Çakmakkaya, Elif Güzel Meydanlı, Ali Metin Kafadar, Mehmet Selman Demirci, Öner Süzer, Muhlis Cem Ar, Muhittin Onur Yaman, Kaan Can Demirbaş, Mustafa Sait Gönen
    BMC Medical Education.2024;[Epub]     CrossRef
  • A comparative study on the effectiveness of online and in-class team-based learning on student performance and perceptions in virtual simulation experiments
    Jing Shen, Hongyan Qi, Ruhuan Mei, Cencen Sun
    BMC Medical Education.2024;[Epub]     CrossRef
  • Physician Assistant Students’ Perception of Online Didactic Education: A Cross-Sectional Study
    Daniel L Anderson, Jeffrey L Alexander
    Cureus.2023;[Epub]     CrossRef
  • Mediating Role of PERMA Wellbeing in the Relationship between Insomnia and Psychological Distress among Nursing College Students
    Qian Sun, Xiangyu Zhao, Yiming Gao, Di Zhao, Meiling Qi
    Behavioral Sciences.2023; 13(9): 764.     CrossRef

JEEHP : Journal of Educational Evaluation for Health Professions