DESIGN: A cross sectional study.
METHOD: A self-administered online survey was used from August to October 2022, with a sample size of 417 nursing students selected through convenience sampling. Descriptive statistics, correlation analyses, and PROCESS macro v4.1 (Model 4) were used for data analysis.
RESULTS: The results revealed that virtual learning infrastructure, access to electronic facilities, and student collaboration, significantly predict student computer competency and e-learning outcomes. Virtual learning infrastructure and access to electronic facilities were found to be the strongest predictors of student computer competency, while student collaboration had a smaller but still significant effect. Student computer competency was found to mediate the relationship between virtual learning infrastructure, access to electronic facilities, student collaboration, and e-learning outcomes.
METHODS: This is a one-group pre-and post-intervention pilot study. It was conducted in Private and public higher education institutions around Malaysia. An online education game was created and used as the intervention. A self-administered questionnaire was administered to the participants during the pre-and post-intervention test to evaluate the online educational game on breast cancer awareness.
RESULTS: A total of 52 responses were collected. The mean age of the participants was 21.98 (SD = 1.896) years. The findings showed a statistically significant median increase (p
METHODS: A total of 218 undergraduate medical students at the Health Campus, Universiti Sains Malaysia, participated in a cross-sectional study that involved an online survey. Environmental factor scales were assessed with the nine-item lighting, noise, and temperature (LNT) scale and the six-item technology scale. Analysis was performed using confirmatory factor analysis (CFA).
RESULTS: The English version of the LNT scale with nine items and three factors showed a good fit to the data, with no item deleted. For LNT, the composite reliability (CR) was 0.81, 0.81, and 0.84, respectively, while the average variance extracted (AVE) was 0.61, 0.59, and 0.6, respectively. The English version of the technology scale, with six items and one factor, also showed a good fit to the data, with no item deleted. The CR was 0.84, and the AVE was 0.51.
CONCLUSIONS: The results provide psychometric evidence for environmental questionnaire scales in evaluating the factors associated with online learning among Malaysian university medical students. All items were retained and confirmed to fit the sample data.
METHODS: The OPL session was conducted by two postgraduate students in SCD (as teachers), to final year undergraduate dental students (as learners) (n = 90), supervised by two specialists in SCD-related areas (as supervisors). Vetted online pre- and post-intervention quizzes were conducted before and after the session, respectively, followed by an online validated feedback survey of the students' learning experiences. Meanwhile, a reflective session was conducted between the postgraduate students and supervisors to explore their perceptions of OPL. Quantitative data was analyzed via paired t-test (significance level, P
METHODS: Both quantitative and qualitative methods were used. A questionnaire was completed by 179 undergraduates (34 males and 145 females) aged between 18 to 25 years old. This was followed by an online, in-depth, one-to-one interview among 10 female undergraduates who reported severe musculoskeletal pain. The two sets of findings were integrated using a triangulation protocol.
RESULT: The three most common musculoskeletal pains experienced by undergraduates due to online learning were low back (73.2%), followed by neck (68.7%) and shoulder (58.7%) pain. The six main themes identified from the interviews were: (1) Musculoskeletal pain characteristics; (2) academic issues; (3) difficulties faced by undergraduates due to teaching and learning; (4) emotions towards work/study; (5) work environment; and (6) time spent working at a workstation. Upper back pain was identified to be associated with personal (p < 0.05) and most environmental factors (p < 0.05). From the triangulation model, it was shown that personal, academic stressors and environmental factors were mainly from the workstation, uncomfortable environment, working posture and time spent at the workstation, which all contributed to musculoskeletal pain.
CONCLUSIONS: This study showed that exercise, academic stressors, and environmental factors were associated with musculoskeletal pain among undergraduates due to online teaching and learning sessions. There may be a need to integrate an online prevention of musculoskeletal pain education package based on a biopsychosocial model with online teaching and learning for undergraduates.
OBJECTIVES: To explore the experiences of nursing students and faculty members as related to online education during the COVID-19 pandemic.
DESIGN: A descriptive qualitative design using Photovoice was adopted.
SETTING: The study took place across five countries and one city in Southeast Asia (Indonesia, Malaysia, the Philippines, Thailand, Vietnam, and Hong Kong).
PARTICIPANTS: Fifty-two nursing students and twenty-eight nursing faculty members who participated in online education during the COVID-19 pandemic.
METHODS: Each participant submitted one photo substantiated with written reflections. Data were analysed using thematic analysis. Ethical approval was obtained from institution-specific ethics boards.
RESULTS: Three themes and eleven sub-themes emerged from the data. The three main themes were: 1) Psychological roadblocks to online education; 2) Developing resilience despite adversities; and 3) Online education: What worked and what did not.
CONCLUSION: Through Photovoice, the reflections revealed that nursing students and faculty members were generally overwhelmed with the online education experience. At the same time, participants were satisfied with the flexibility and convenience, opportunities for professional and personal development and safety afforded by online education. However, concerns over academic integrity, practical skills and clinical competencies, engagement and participation, the duality of technology and social isolation out-shadowed the advantages. It is worthwhile to explore the concerns raised to enhance online education across the nursing curriculum.
METHODS: Fifty-four dental students enrolled in 2018 were recruited as participants and assigned to two groups. Both groups were given the same lecture and asked to watch the same video in either the enhanced or non-enhanced version. The enhanced video was modified with the contemporaneous subtitle of the presenters' dialogue, text bullet points and summary text pages. The knowledge acquisition from the two types of video was subjected to pre- and post-tests one month after the students watched the video. A questionnaire was used to evaluate the students' perceptions of the learning experience and a performance test on practical skills was performed after six weeks. All the students responded to the test (100%).
RESULTS: The enhanced video demonstration improved the students' short-term knowledge acquisition after they watched the video, with an average score of 1.59 points higher in the enhanced group than in the non-enhanced group (p
METHODS: In this cross-sectional study, participants were selected through a combination of total population and convenience sampling. The Student Online Learning Readiness questionnaire was distributed among physiotherapy undergraduates from two public and two private universities in Malaysia to investigate their technical, social and communication competencies. Information about device characteristics were obtained to evaluate their equipment readiness. Descriptive and group comparisons were conducted using independent t-test, and analysis of variance with p 80% possessed smartphones and laptop) level of equipment readiness. Institution and gender had no significant effect on the level of readiness (p > 0.05). Year 1 and 2 had significantly higher levels of social competencies with instructor compared to final year physiotherapy undergraduates (p
METHODS: Five SIMBA sessions were conducted between May and August 2020. Each session included simulation of scenarios and interactive discussion. Participants' self-reported confidence, acceptance, and relevance of the simulated cases were measured.
RESULTS: Significant improvement was observed in participants' self-reported confidence (overall n = 204, p<0.001; adrenal n = 33, p<0.001; thyroid n = 37, p<0.001; pituitary n = 79, p<0.001; inflammatory bowel disease n = 17, p<0.001; acute medicine n = 38, p<0.001). Participants reported improvements in clinical competencies: patient care 52.0% (n = 106/204), professionalism 30.9% (n = 63/204), knowledge on patient management 84.8% (n = 173/204), systems-based practice 48.0% (n = 98/204), practice-based learning 69.6% (n = 142/204) and communication skills 25.5% (n = 52/204).
CONCLUSION: SIMBA is a novel pedagogical virtual simulation-based learning model that improves clinicians' confidence in managing conditions across various specialties.
METHODS: We conducted a worldwide survey among physicians, who are actively involved in Ophthalmology-related education, between 3 and 14 April 2020. The expert survey, developed on the basis of literature search and focus group discussions, comprised 23 questions addressing the use of e-learning in Ophthalmology during the COVID-19 pandemic.
RESULTS: A total of 321 participants from both academic and non-academic institutions worldwide, with variable practice experience and expertise, completed the survey. Before the pandemic, the majority of participants used traditional training modalities, including lectures, grand rounds and journal clubs, and 48% did not use any e-learning. There was a statistically significant increase in the use of all e-learning alternatives during the pandemic (p
METHODS: MOOC participants were invited to take part in an anonymous online survey examining their knowledge of IR and how they applied it in their professional practice approximately 1-1.5 years after completing their course. The survey contained 43 open-ended, multiple choice and Likert-type questions. Descriptive statistics were calculated for the quantitative data and responses to the open-ended questions were thematically coded.
RESULTS: A total of 748 MOOC participants responded to the survey. The demographic profile of the survey respondents aligned with that of the MOOC participants, with nearly 70% of respondents originating from Africa. Responses to the quantitative and open-ended survey questions revealed that respondents' knowledge of IR had improved to a large extent as a result of the MOOC, and that they used the knowledge and skills gained in their professional lives frequently and had consequently changed their professional behaviour. Respondents most often cited the problem-solving aspect of IR as a substantial area of behavioral change influenced by participating in the MOOC.
CONCLUSIONS: These findings indicate that the MOOC was successful in targeting learners from LMICs, in strengthening their IR knowledge and contributing to their ability to apply it in their professional practice. The utility of MOOCs for providing IR training to learners in LMICs, where implementation challenges are encountered often, makes this platform an ideal standalone learning tool or one that could be combined with other training formats.