Displaying publications 61 - 69 of 69 in total

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  1. Lv H, Low J, Tan SK, Tang L, Li X
    BMC Med Educ, 2024 Jan 24;24(1):86.
    PMID: 38267919 DOI: 10.1186/s12909-024-05037-6
    BACKGROUND: Rain Classroom was one of the most popular online learning platforms in Chinese higher education during the pandemic. However, there is little research on user intention under the guidance of technology acceptance and unified theory (UTAUT).

    OBJECTIVE: This research aims to determine factors influencing students' behavioural intention to use Rain Classroom.

    METHODS: In this cross-sectional and correlational investigation, 1138 medical students from five medical universities in Guangxi Province, China, made up the sample. This study added self-efficacy (SE), motivation (MO), stress (ST), and anxiety (AN) to the UTAUT framework. This study modified the framework by excluding actual usage variables and focusing only on intention determinants. SPSS-26 and AMOS-26 were used to analyze the data. The structural equation modelling technique was chosen to confirm the hypotheses.

    RESULTS: Except for facilitating conditions (FC), all proposed factors, including performance expectancy (PE), effort expectancy (EE), social influence (SI), self-efficacy (SE), motivation (MO), anxiety (AN), and stress (ST), had a significant effect on students' behavioural intentions to use Rain Classroom.

    CONCLUSIONS: The research revealed that the proposed model, which was based on the UTAUT, is excellent at identifying the variables that influence students' behavioural intentions in the Rain Classroom. Higher education institutions can plan and implement productive classrooms.

  2. Shoaib LA, Safii SH, Idris N, Hussin R, Sazali MAH
    BMC Med Educ, 2024 Jan 11;24(1):58.
    PMID: 38212703 DOI: 10.1186/s12909-023-05022-5
    BACKGROUND: Growing demand for student-centered learning (SCL) has been observed in higher education settings including dentistry. However, application of SCL in dental education is limited. Hence, this study aimed to facilitate SCL application in dentistry utilising a decision tree machine learning (ML) technique to map dental students' preferred learning styles (LS) with suitable instructional strategies (IS) as a promising approach to develop an IS recommender tool for dental students.

    METHODS: A total of 255 dental students in Universiti Malaya completed the modified Index of Learning Styles (m-ILS) questionnaire containing 44 items which classified them into their respective LS. The collected data, referred to as dataset, was used in a decision tree supervised learning to automate the mapping of students' learning styles with the most suitable IS. The accuracy of the ML-empowered IS recommender tool was then evaluated.

    RESULTS: The application of a decision tree model in the automation process of the mapping between LS (input) and IS (target output) was able to instantly generate the list of suitable instructional strategies for each dental student. The IS recommender tool demonstrated perfect precision and recall for overall model accuracy, suggesting a good sensitivity and specificity in mapping LS with IS.

    CONCLUSION: The decision tree ML empowered IS recommender tool was proven to be accurate at matching dental students' learning styles with the relevant instructional strategies. This tool provides a workable path to planning student-centered lessons or modules that potentially will enhance the learning experience of the students.

  3. Griffiths AW, Cheong WL, Saw PS, Parveen S
    BMC Med Educ, 2020 Mar 20;20(1):82.
    PMID: 32192471 DOI: 10.1186/s12909-020-1972-5
    BACKGROUND: One of the major challenges worldwide is the stigma associated with dementia. There is limited dementia awareness within Malaysian communities, including levels of confusion regarding the differences between dementia and the usual ageing progress, which can lead to delays in support seeking. The need for additional training and education for healthcare professionals has been highlighted. The present study aimed to evaluate the benefits of a one-hour dementia education session (Dementia Detectives workshop) for pharmacy and medicine undergraduate students at a Malaysian university.

    METHODS: Participants attended the workshop and completed pre- (Time 1) and post-workshop (Time 2) questionnaires consisting of validated measures exploring attitudes towards dementia and older people more broadly.

    RESULTS: A total of 97 students were recruited. Attitudes towards people with dementia showed significant positive changes between Time 1 and Time 2, whereas no differences were found for attitudes towards older people.

    CONCLUSIONS: As medical and pharmacy students develop theoretical knowledge, practical skills and professional attitudes during their undergraduate studies, it is important for students to also learn about the humanistic side of diseases and conditions through workshops such as the one presented here. Further research should now be conducted to consider how Dementia Detectives can be delivered to non-healthcare students and what the barriers and facilitators to wider delivery are.

  4. Yusoff MSB, Hadie SNH, Yasin MAM
    BMC Med Educ, 2021 May 22;21(1):293.
    PMID: 34022865 DOI: 10.1186/s12909-021-02733-5
    BACKGROUND: Stress and burnout commonly threaten the mental health of medical students in Malaysia and elsewhere. This study aimed to explore the interrelations of psychological distress, emotional intelligence, personality traits, academic stress, and burnout among medical students.

    METHODS: A cross-sectional study was conducted with 241 medical students. Validated questionnaires were administered to measure burnout, psychological distress, emotional intelligence, personality traits, and academic stress, respectively. A structural equation modelling analysis was performed by AMOS.

    RESULTS: The results suggested a structural model with good fit indices, in which psychological distress and academic stress were noted to have direct and indirect effects on burnout. The burnout levels significantly increased with the rise of psychological distress and academic stress. Neuroticism was only found to have significant indirect effects on burnout, whereby burnout increased when neuroticism increased. Emotional intelligence had a significant direct effect on lowering burnout with the incremental increase of emotional intelligence, but it was significantly reduced by psychological distress and neuroticism.

    CONCLUSION: This study showed significant effects that psychological distress, emotional intelligence, academic stress, and neuroticism have on burnout. Academic stress and neuroticism significantly increased psychological distress, leading to an increased burnout level, while emotional intelligence had a significant direct effect on reducing burnout; however, this relationship was compromised by psychological distress and neuroticism, leading to increased burnout. Several practical recommendations for medical educators, medical students, and medical schools are discussed.

  5. Mohd Shafiaai MSF, Kadirvelu A, Pamidi N
    BMC Med Educ, 2020 Dec 07;20(1):494.
    PMID: 33287807 DOI: 10.1186/s12909-020-02408-7
    BACKGROUND: PASS is a peer-led structured academic mentoring program designed to provide academic assistance for new students in their transition from college to university studies and also for students struggling in certain units. This study aims to establish acquired skills by peer leaders associated with peer-led mentoring via the PASS program, and to explore the role played by these acquired skills in their journey to become a successful doctor.

    METHODS: Study participants were forty selected second-year undergraduate medical students at Monash University Malaysia with commendable examination results. Validated pre-test and post-test questionnaires were administered to explore changes in the level of communication, leadership, professional, and pedagogical skills before and after participation in peer mentoring program. Qualitative analysis of focused group interviews was performed by an independent investigator to identify how the skills developed as a peer mentor may help with becoming a good doctor. Major themes were identified with the thematic-analysis approach.

    RESULTS: Thirty-eight students completed the pre-test and post-test questionnaires. Peer leaders reported improvement in oral and written skills for teaching; increased confidence to give constructive feedback; better stress management; efficient time management; improved interpersonal skills; and enhanced problem-solving and critical thinking capabilities. Eight major themes were identified from the interview and peer leaders reported positive experience of working in diverse environments and shouldering of responsibilities.

    CONCLUSIONS: Peer-led mentoring provides a good opportunity for medical students to shoulder responsibilities as a leader and offers an experience of managing a team of their peers and juniors which in turn may enhance their communication, interpersonal, and leadership skills.

  6. Abraham R, Ramnarayan K, Kamath A
    BMC Med Educ, 2008 Jul 24;8:40.
    PMID: 18652649 DOI: 10.1186/1472-6920-8-40
    BACKGROUND: It has been proved that basic science knowledge learned in the context of a clinical case is actually better comprehended and more easily applied by medical students than basic science knowledge learned in isolation. The present study intended to validate the effectiveness of Clinically Oriented Physiology Teaching (COPT) in undergraduate medical curriculum at Melaka Manipal Medical College (Manipal Campus), Manipal, India.

    METHODS: COPT was a teaching strategy wherein, students were taught physiology using cases and critical thinking questions. Three batches of undergraduate medical students (n = 434) served as the experimental groups to whom COPT was incorporated in the third block (teaching unit) of Physiology curriculum and one batch (n = 149) served as the control group to whom COPT was not incorporated. The experimental group of students were trained to answer clinically oriented questions whereas the control group of students were not trained. Both the group of students undertook a block exam which consisted of clinically oriented questions and recall questions, at the end of each block.

    RESULTS: Comparison of pre-COPT and post-COPT essay exam scores of experimental group of students revealed that the post-COPT scores were significantly higher compared to the pre-COPT scores. Comparison of post-COPT essay exam scores of the experimental group and control group of students revealed that the experimental group of students performed better compared to the control group. Feedback from the students indicated that they preferred COPT to didactic lectures.

    CONCLUSION: The study supports the fact that assessment and teaching patterns should fall in line with each other as proved by the better performance of the experimental group of students compared to the control group. COPT was also found to be a useful adjunct to didactic lectures in teaching physiology.

  7. Daher AM, Amin F
    BMC Med Educ, 2010 May 13;10:34.
    PMID: 20462464 DOI: 10.1186/1472-6920-10-34
    BACKGROUND: In the era of evidence based medicine, biostatistics and epidemiology are considered as the main elements aiding the health professional to design a research study, understand the literature, and make decisions about patient care. The aim of the study is to explore students' perception about this subject because it plays an important role in determining educational outcome.

    METHODS: Data were collected from a self-administered questionnaire distributed among 164 Year 2 medical students. The 5-point Likert scale anchored by Strongly disagree = 1 and Strongly agree = 5 included 36 questions in four domains designed to assess the perception of a biostatistics and epidemiology module amongst students.

    RESULTS: 138 students with ages ranging from 20 to 24 years (Mean = 20.7; SD = 0.62) returned their responses to the questionnaire. This was a response rate of 84.14%. Of the 138 students, 80.7% realized the relevance of the subject to real health issues at the end of the module, while 89.8% believed the module focused on interpretation more than calculation.More than three quarters (78.1%) agreed that lack of practicing exercises was the cause for declining interest in the subject, while only 26.1% believed that lectures were not interesting. Another three quarters (75.4%) believed that there were too many lectures for one day of teaching activities, while 84.6% recommended practical sessions for designing research and data collection.

    CONCLUSIONS: This study found that students perceived the relevance of biostatistics and epidemiology to real health issues. The major cause of poor interest in the subject was attributed to the short duration of the course, lack of practicing exercises, and the need for practical data collection sessions. Emphasis should be given to early introduction of projects for data collection and analysis.

  8. Amiri H, Peiravi S, Rezazadeh Shojaee SS, Rouhparvarzamin M, Nateghi MN, Etemadi MH, et al.
    BMC Med Educ, 2024 Apr 15;24(1):412.
    PMID: 38622577 DOI: 10.1186/s12909-024-05406-1
    BACKGROUND: Nowadays, Artificial intelligence (AI) is one of the most popular topics that can be integrated into healthcare activities. Currently, AI is used in specialized fields such as radiology, pathology, and ophthalmology. Despite the advantages of AI, the fear of human labor being replaced by this technology makes some students reluctant to choose specific fields. This meta-analysis aims to investigate the knowledge and attitude of medical, dental, and nursing students and experts in this field about AI and its application.

    METHOD: This study was designed based on PRISMA guidelines. PubMed, Scopus, and Google Scholar databases were searched with relevant keywords. After study selection according to inclusion criteria, data of knowledge and attitude were extracted for meta-analysis.

    RESULT: Twenty-two studies included 8491 participants were included in this meta-analysis. The pooled analysis revealed a proportion of 0.44 (95%CI = [0.34, 0.54], P 

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