METHODS: A modified and validated Dundee Ready Education Environment Measure (DREEM) questionnaire was used to collect data regarding student perception of their educational environment.
RESULTS: The mean DREEM scores for three time periods were in the accepted positive range of 101 to 150 indicating that most of the students perceived the changes positively. The results indicated that most students preferred blended learning over online learning or face-to-face learning alone. Areas where students were unsatisfied with their learning environment that need improvement were identified by poor item-wise scores.
CONCLUSION: Strategic remedial measures for these concerns need to be developed to improve the quality of education received by the students. However, the results of our study indicated that most of the students were able to adapt positively to the new education environment due to the change in the circumstances during COVID.
METHODS: This study was conducted in 4 local medical schools. LAUNDERKAP was developed via literature review and had 3 domains: attitude, knowledge, practice. An expert panel assessed the content validity and clarity of wording. LAUNDERKAP was then piloted among 32 medical students. To test construct validity and internal consistency, 362 medical students were approached. Construct validity was assessed using exploratory factor analysis. Internal consistency was evaluated using Cronbach alpha for attitude and practice, while Kuder-Richardson 20 (KR-20) was used for knowledge.
RESULTS: A total of 319 of 362 students responded. Exploratory factor analysis extracted 1 factor each for attitude and knowledge respectively, and 3 factors for practice. Cronbach alpha for attitude was 0.843 while KR-20 for knowledge was 0.457. Cronbach alpha for practice ranged from 0.375 to 0.689. The final LAUNDERKAP contained 32-items (13 attitude, 9 knowledge, 10 practice).
CONCLUSIONS: LAUNDERKAP had adequate psychometric properties and can be used to assess KAP of medical students towards white coat use.
OBJECTIVE: Determining the impact of digital use and internet gaming on empathy of nursing students undergoing remote learning during closure of learning institutions nationwide.
DESIGN: Cross-sectional online survey was conducted from October to December 2020.
SETTINGS: Two established public institutions located in Malaysia.
PARTICIPANTS: A total of 345 nursing students pursuing diploma and bachelor nursing programs.
METHODS: Toronto Empathy Questionnaire (TEQ), Digital Addiction Scale (DAS) and Internet Gaming Disorder Scale-Short form (IGDS9-SF) were self-administered via Google Form™. Following principal component analysis of TEQ using IBM-SPSS™ (V-27), path analyses was performed using SmartPLS™ (V-3).
RESULTS: Despite the increased time spent on digital devices (∆ 2.8 h/day) and internet gaming (∆ 1 h/week) before and during the pandemic, the proportion of high digital users (1.4 %) and gamers (20.9 %) were low; and sizable ≈75 % had higher-than-normal empathy. Digital-related emotions and overuse of them were associated with lower empathy (β = -0.111, -0.192; p values < 0.05) and higher callousness (β = 0.181, 0.131; p values < 0.05); internet gaming addiction predicted callousness (β = 0.265, p
SUBJECTS AND METHODS: An online questionnaire in a Google form link was circulated among the target population via various online platforms. It consisted of 14 close-ended questions assessing these students' knowledge and source of COVID-19-related information. SPSS software version 21.0 (IBM Corp., Armonk, NY, USA) was used to compute descriptive statistics, Chi-square test, independent t-test, and ANOVA tests for comparing various variables, and a p-value<0.05 was considered statistically significant.
RESULTS: The study yielded 809 responses from dental undergraduate students from India, Saudi Arabia, Malaysia, and Turkey. Dental students from Turkey reported a higher mean knowledge score of 7.91±1.34 and 7.88±0.58 for Malaysian dental students. In contrast, the lower scores were achieved by Saudi Arabia (7.36±1.22) and India (7.37±1.21) dental students, and the findings were statistically significant (p<0.05). The study population used various sources to attain information regarding COVID-19. Most respondents (63.1%) utilized information regarding COVID-19 from multiple sources rather than single sources (36.9%).
CONCLUSIONS: Reliable and validated information sources resulted in higher knowledge scores. Turkey and Malaysia dental students reported a higher mean knowledge score and the lowest for Saudi Arabia and India dental students. There is increased popularity of social media platforms as information sources.
METHODS: This study employed a qualitative instrumental case study design intended to compare two groups of students-high-achieving students (n = 14) and low-achieving students (n = 5), enrolled in pre-clinical medical studies at the Universiti Malaya, Malaysia. Data were collected through reflective journals and semi-structured interviews. Regarding journaling, participants were required to recall their learning experiences of the previous academic year. Two analysts coded the data and then compared the codes of high- and low-achieving students. The third analyst reviewed the codes. Themes were identified iteratively, working towards comparing the learning processes of high- and low-achieving students.
RESULTS: Data analysis revealed four themes-motivation and expectation, study methods, self-management, and flexibility of mindset. First, high-achieving students were more motivated and had higher academic expectations than low-achieving students. Second, high-achieving students adopted study planning and deep learning approaches, whereas low-achieving students adopted superficial learning approaches. Third, in contrast to low-achieving students, high-achieving students exhibited better time management and studied consistently. Finally, high-achieving students proactively sought external support and made changes to overcome challenges. In contrast, low-achieving students were less resilient and tended to avoid challenges.
CONCLUSION: Based on the theory of action, high-achieving students utilize positive governing variables, whereas low-achieving students are driven by negative governing variables. Hence, governing variable-based remediation is needed to help low-achieving students interrogate the motives behind their actions and realign positive governing variables, actions, and intended outcomes.Key MessagesThis study found four themes describing the differences between high- and low-achieving pre-clinical medical students: motivation and expectation, study methods, self-management, and flexibility of mindset.Based on the theory of action approach, high-achieving pre-clinical medical students are fundamentally different from their low-achieving peers in terms of their governing variables, with the positive governing variables likely to have guided them to act in a manner beneficial to and facilitating desirable academic performance.Governing variable-based remediation may help students interrogate the motives of their actions.
MATERIALS AND METHODS: We propose a mixed-method study of mental health assessment that combines psychological questionnaires with facial emotion analysis to comprehensively evaluate the mental health of students on a large scale. The Depression Anxiety and Stress Scale-21(DASS-21) is used for the psychological questionnaire. The facial emotion recognition model is implemented by transfer learning based on neural networks, and the model is pre-trained using FER2013 and CFEE datasets. Among them, the FER2013 dataset consists of 48 × 48-pixel face gray images, a total of 35,887 face images. The CFEE dataset contains 950,000 facial images with annotated action units (au). Using a random sampling strategy, we sent online questionnaires to 400 college students and received 374 responses, and the response rate was 93.5%. After pre-processing, 350 results were available, including 187 male and 153 female students. First, the facial emotion data of students were collected in an online questionnaire test. Then, a pre-trained model was used for emotion recognition. Finally, the online psychological questionnaire scores and the facial emotion recognition model scores were collated to give a comprehensive psychological evaluation score.
RESULTS: The experimental results of the facial emotion recognition model proposed to show that its classification results are broadly consistent with the mental health survey results. This model can be used to improve efficiency. In particular, the accuracy of the facial emotion recognition model proposed in this paper is higher than that of the general mental health model, which only uses the traditional single questionnaire. Furthermore, the absolute errors of this study in the three symptoms of depression, anxiety, and stress are lower than other mental health survey results and are only 0.8%, 8.1%, 3.5%, and 1.8%, respectively.
CONCLUSION: The mixed method combining intelligent methods and scales for mental health assessment has high recognition accuracy. Therefore, it can support efficient large-scale screening of students' psychological problems.
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.
METHODS: A questionnaire was developed based on the Dental Student Attitude to the Handicapped Scale, Scale of Attitudes to the Disabled Persons and Health Action Process Approach. The self-administered, validated questionnaire was tested for reliability (Cronbach's alpha = .71-.81), before being distributed to clinical dental students of both genders from two universities (University A, n = 176 and University B, n = 175). Quantitative data were analysed via t test and ANOVA (p
METHODS: We collected classroom dust from 24 junior high schools in three geographically distanced areas in Malaysia (Johor Bahru, Terengganu and Penang), and conducted culture-independent high-throughput microbiome and untargeted metabolomics/chemical profiling.
RESULTS: 1290 students were surveyed for asthma symptoms (wheeze). In each centre, we found significant variation in the prevalence of wheeze among schools, which could be explained by personal characteristics and air pollutants. Large-scale microbial variations were observed between the three centres; the potential protective bacteria were mainly from phyla Actinobacteria in Johor Bahru, Cyanobacteria in Terengganu and Proteobacteria in Penang. In total, 2633 metabolites and chemicals were characterised. Many metabolites were enriched in low-wheeze schools, including plant secondary metabolites flavonoids/isoflavonoids (isoliquiritigenin, formononetin, astragalin), indole and derivatives (indole, serotonin, 1H-indole-3-carboxaldehyde), and others (biotin, chavicol). A neural network analysis showed that the indole derivatives were co-occurring with the potential protective microbial taxa, including Actinomycetospora, Fischerella and Truepera, suggesting these microorganisms may pose health effects by releasing indole metabolites. A few synthetic chemicals were enriched in high-wheeze schools, including pesticides (2(3H)-benzothiazolethione), fragrances (2-aminobenzoic acid, isovaleric acid), detergents and plastics (phthalic acid), and industrial materials (4,4-sulfonyldiphenol).
CONCLUSIONS: This is the first association study between high-throughput indoor chemical profiling and asthma symptoms. The consistent results from the three centres indicate that indoor metabolites/chemicals could be a better indicator than the indoor microbiome for environmental and health assessments, providing new insights for asthma prediction, prevention and control.
METHODS: Forty third-year undergraduate dental students were randomly assigned to two groups: FC (n = 20) and LD (n = 20). Students in group FC attended FC, while students in group LD attended LD. Both groups underwent a series of standardized teaching sessions to acquire skills in fabricating six types of orthodontic wire components. Eight students (four high achievers and four low achievers) from each group were randomly selected to attend separate focus group discussion (FGD) sessions. Students' perceptions on the strengths, weaknesses, and suggestions for improvement on each teaching method were explored. Audio and video recordings of FGD were transcribed and thematically analyzed using NVivo version 12 software.
RESULTS: Promoting personalized learning, improvement in teaching efficacy, inaccuracy of three-dimensional demonstration from online video, and lack of standardization among instructors and video demonstration were among the themes identified. Similarly, lack of standardization among instructors was one of the themes identified for LD, in addition to other themes such as enabling immediate clarification and vantage point affected by seating arrangement and class size.
CONCLUSIONS: In conclusion, FC outperformed LD in fostering personalized learning and improving the efficacy of physical class time. LD was more advantageous than FC in allowing immediate question and answer. However, seating arrangement and class size affected LD in contrast to FC.
MATERIALS AND METHODS: We compared the LC scores of three previous years with those of the SBCE and studied the feedback of the three stakeholders: students, examiners, and simulated patients (SPs), regarding their experience with SBCE and the suitability of SBCE as an alternative for LC in future examinations.
RESULTS: The SBCE scores were higher than those of the LC. Most of the examiners and students were not in favour of SBCE replacing LC, as such. The SPs were more positive about the proposition. The comments of the three stakeholders brought out the plus and minus points of LC and SBCE, which prompted our proposals to make SBCE more practical for future examinations.
CONCLUSION: Having analysed the feedback of the stakeholders, and the positive and negative aspects of LC and SBCE, it was evident that SBCE needed improvements. We have proposed eight modifications to SBCE to make it a viable alternative for LC.
METHODS: A qualitative research design was used. In-depth interviews with structured questions following the Context, Input, Process, and Product/Outcomes model framework were conducted with four academic staff, three alumni, and three alumni supervisors from six study sites in six countries. Interview questions were constructed in Thai and translated to English by using forward and backward translation. Verbatim transcriptions were used to perform thematic analysis with investigator triangulation.
RESULTS: Sixty participants were included. The context showed three main themes related to Burden of NCDs, Pharmacist Roles in NCDs, and Goals. The input showed three main themes of Teaching Methods, Development Plans for Academic Staff, and Budgets and Infrastructure. The process showed one main theme of Struggles in Teaching Methods. The outcomes/outputs showed three main themes of Individual, Organizational, and Professional Levels. Schools need curricula that focus on NCDs, pharmacist competency and skills, and academic preparation of students for practice. Gaps limiting achievement of goals included lack of well-trained academic staff, limited learning facilities, self-learning opportunities, acceptance from other health professionals, and career ladders.
CONCLUSIONS: The preparation of pharmacy students varied in six ASEAN countries. Pharmacy education programs must address existing gaps that limit achievement of goals related to NCDs.