Displaying publications 1 - 20 of 35 in total

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  1. Sherina MS, Azlan Hamzah SA, Md Yunus A, Azhar MZ, Zaiton A
    Matched MeSH terms: Computer-Assisted Instruction
  2. Manzoor SR, Mohd-Isa WN, Dollmat KS
    F1000Res, 2021;10:1106.
    PMID: 35646326 DOI: 10.12688/f1000research.73311.2
    Background: The Covid-19 pandemic has resulted in an abrupt but accelerated shift to e-learning worldwide. Education in a post-pandemic world has to amalgamate the advantages of e-learning with important pedagogical goals associated with in-person teaching. Although various advanced technologies are present at our fingertips today, we are still unable to use their full potential in teaching and learning. In this regard, mobile VR technology is both cost-efficient, versatile and engaging for students. Developing countries have more smartphone users than developed countries, implying that developing countries, like Malaysia, should utilize mobile or cellphones more significantly. With that in mind, we propose here a pre-protocol to investigate learner motivation and levels of engagement for e-learning with smartphone-integrated VR, based on their VARK (Visual, Auditory, Read/Write, Kinesthetic) learning styles. Proposed methodology: This study intends to look into students from the same age group under the K-12 (particularly grade 9-12) belonging to STEM curriculum. The Google Cardboard VR set will be used as the prime technology for its affordability, easy build feature and variety of available vendors. A mixed-method (survey and activity log/tracking) for data collection is suggested to find the degree of engagement and motivation of the learners' learning in the mobile VR-assisted e-learning context. The students will be taught a topic using the mobile VR and then be assessed through simple classroom quizzes to assess how well they grasped the concept. The data collected through activity logs (while teaching the topic in mobile VR) and questionnaires will be mapped to each individual learner and organized in a data repository. Further visualization, analysis and investigation will be performed using Smart PLS, Python or R language. Conclusions: The study aims to provide context for smartphone and software companies to develop technologies that could facilitate learner motivation and engagement during the post-pandemic state.
    Matched MeSH terms: Computer-Assisted Instruction*
  3. Lim HM, Ng CJ, Wharrad H, Lee YK, Teo CH, Lee PY, et al.
    PLoS One, 2022;17(9):e0274771.
    PMID: 36126036 DOI: 10.1371/journal.pone.0274771
    BACKGROUND: Effective knowledge transfer of eLearning objects can hasten the adoption and dissemination of technology in teaching and learning. However, challenges exist which hinder inter-organisational knowledge transfer, particularly across continents. The ACoRD project aimed to transfer knowledge on digital learning development from UK/EU (provider) to Malaysian (receiver) higher education institutions (HEIs). This study explores the challenges encountered during the knowledge transfer process and lessons learned.

    METHODS: This is a qualitative study involving both the knowledge providers and receivers in focus group discussions (n = 25). Four focus group discussions were conducted in the early (n = 2) and mid-phase (n = 2) of the project by trained qualitative researchers using a topic guide designed to explore experiences and activities representing knowledge transfer in multi-institutional and multi-cultural settings. The interviews were audio-recorded, transcribed verbatim, and checked. The transcripts were analysed using thematic analysis.

    RESULTS: Five main themes emerged from this qualitative study: mismatched expectations between providers and receivers; acquiring new knowledge beyond the professional "comfort zone"; challenges in cascading newly acquired knowledge to colleagues and management; individual and organisational cultural differences; and disruption of knowledge transfer during the COVID-19 pandemic.

    CONCLUSION: This study highlights the need to create a conducive platform to facilitate continuous, timely and bi-directional needs assessment and feedback; this should be done in the early phase of the knowledge transfer process. The challenges and strategies identified in this study could guide more effective knowledge transfer between organisations and countries.

    Matched MeSH terms: Computer-Assisted Instruction*
  4. Al-Teete R, Hassan II, Abdul Kadir A, AbuAlRub R
    J Prof Nurs, 2023;46:102-110.
    PMID: 37188398 DOI: 10.1016/j.profnurs.2023.03.001
    BACKGROUND: Nursing colleges have traditionally taught students in hospitals and laboratories. COVID-19 compelled most nursing colleges to embrace e-learning without prior experience or preparation after 2020, which may influence nursing educators' views and attitudes toward its use.

    OBJECTIVE: This scoping review explores the nursing educators' perception of the e-learning approaches used in nursing colleges.

    DESIGN: A comprehensive review of five databases, Cochrane, Ebsco (Medline), PubMed, Science Direct, and Scopus, was conducted, adhering to the Joanna Brings Institute (JBI) standards full theme, utilizing preset eligibility criteria and adhering to the PRISMA Extension for Scoping review (PRISMA-ScR) recommendations.

    METHODS: This scoping review examined studies published in English from January 1st, 2017-2022. Three reviewers evaluated the eligibility of the literature and retrieved data to address the research question from prior literature. A content analysis was done.

    RESULTS: Thirteen articles with various hypotheses and models were reviewed. The review reveals that nursing educators are novices at using e-learning approaches in their classes due to their novelty in most nursing colleges. Nursing educators have a modest positive perception, with an optimistic perspective on e-learning effectiveness in theoretical course teaching, emphasizing that it is inappropriate in teaching clinical courses. The review demonstrates that e-learning faces numerous challenges that negatively impact educators' perceptions.

    CONCLUSION: Institutional preparedness in terms of personnel through educator training, provision of necessary infrastructure, administrative support, and incentives are critical to improving the perception of the e-learning method and increasing its adoption in nursing colleges.

    Matched MeSH terms: Computer-Assisted Instruction*
  5. Torke S, Upadhya S, Abraham RR, Ramnarayan K
    Adv Physiol Educ, 2006 Mar;30(1):48-9.
    PMID: 16481610
    Matched MeSH terms: Computer-Assisted Instruction/methods*
  6. Jafar A, Dollah R, Sakke N, Mapa MT, Hua AK, Eboy OV, et al.
    Sci Rep, 2022 Oct 15;12(1):17316.
    PMID: 36243784 DOI: 10.1038/s41598-022-22360-4
    The outbreak of the pandemic Covid-19 has transformed the education system in most countries worldwide. Following the lockdown measures in Malaysia, the Malaysian education system has fully transformed from conventional learning to online learning or known as e-learning as an alternative to minimize social contacts and physical communication to curb the transmission of Covid-19. In this regard, this study aims to identify the challenges faced by students in higher learning institutions throughout Malaysia during the implementation of the e-learning program. This study is based on a large sampling consisting of 2394 students from both public and private universities. The result from this study is analyzed through inferential methods such as the Spatial Analysis, the Principal Component Analysis, and the Mann-Whitney U test and through descriptive methods using the frequency analysis and the percentage analysis. Findings from this study suggest that location significantly influenced the challenges faced by students throughout the implementation of e-learning in higher learning institutions. For example, students in rural areas which can be identified as "vulnerable groups" are more likely to face both technical and connection with the internet access, tend to have a declining focus on learning and are prone to physical health problems, facing social isolation and low digital literacy compared to students in urban areas. Based on geographical analysis, students in Sabah, Perlis, and Melaka are most at risk of facing e-learning challenges. An anomaly case of students in Kuala Lumpur, however, posed another different result compared to other cities as they confront similar challenges with students in rural areas. This study provides the nuances of location and its implications for vulnerable groups that may put them at disadvantage in the e-learning program. Findings from this study will help to inform the relevant authorities and policymakers in improving the implementation of e-learning in Malaysia, especially towards the vulnerable groups so that it can be delivered more systematically and efficiently.
    Matched MeSH terms: Computer-Assisted Instruction*
  7. Jafar A, Dollah R, Mittal P, Idris A, Kim JE, Abdullah MS, et al.
    PMID: 36673659 DOI: 10.3390/ijerph20020905
    During the COVID-19 era, most countries, including Malaysia, have shifted from face-to-face teaching systems to online teaching programs. The aim of this study is to identify the main challenges that higher education students face during e-learning based on their residential location throughout Peninsular Malaysia. This study further examines the readiness of higher education students to apply e-learning. Therefore, a cross-sectional survey approach is used to fulfil the outlined objectives. Accordingly, 761 public (95.3%) and private (4.7%) higher education students residing in Peninsular Malaysia are sampled in this study. The survey was administered online for 37 days, from 21 October 21 to 6 December 2021, using either WhatsApp or Facebook. The raw data is inferentially (Principal Component Analysis, K-Means Clustering, Kruskal Wallis, and spatial analysis) and descriptively (mean, standard deviation & percentage) analyzed. It has been revealed that six clusters of students in Peninsular Malaysia face various challenges while following the e-learning program. Most states in Peninsular Malaysia are dominated by students in Cluster D (Terengganu, Perlis, Penang, Selangor, WP Kuala Lumpur, and WP Putrajaya) and Cluster B categories (Melaka, Johor, Kelantan, and Kedah). Students in the Cluster D category tend to suffer from physical health disorders and social isolation, while students in the Cluster B category face problems with decreased focus in learning, mental health disorders, and social isolation. The outcomes further indicate that the more challenges students face during e-learning programs, the lower their willingness to continue with the program. The results of this study are significant in addressing the challenges of e-learning, which will help stakeholders address and strengthen student abilities.
    Matched MeSH terms: Computer-Assisted Instruction*
  8. Ab Malik N, Zhang J, Lam OL, Jin L, McGrath C
    J Am Med Inform Assoc, 2017 01;24(1):209-217.
    PMID: 27274013 DOI: 10.1093/jamia/ocw045
    Computer-aided learning (CAL) offers enormous potential in disseminating oral health care information to patients and caregivers. The effectiveness of CAL, however, remains unclear.

    OBJECTIVES: The purpose of this study was to systematically review published evidence on the effectiveness of CAL in disseminating oral health care information to patients and caregivers.

    MATERIALS AND METHODS: A structured comprehensive search was undertaken among 7 electronic databases (PUBMED, CINAHL Plus, EMBASE, SCOPUS, WEB of SCIENCE, the Cochrane Library, and PsycINFO) to identify relevant studies. Randomized controlled trials (RCTs) and observational studies were included in this review. Papers were screened by 2 independent reviewers, and studies that met the inclusion criteria were selected for further assessment.

    RESULTS: A total of 2915 papers were screened, and full texts of 53 potentially relevant papers (κ = 0.885) were retrieved. A total of 5 studies that met the inclusion criteria (1 RCT, 1 quasi-experimental study, and 3 post-intervention studies) were identified. Outcome measures included knowledge, attitude, behavior, and oral health. Significant improvements in clinical oral health parameters (P 

    Matched MeSH terms: Computer-Assisted Instruction*
  9. Nayak SB
    Adv Physiol Educ, 2006 Mar;30(1):48.
    PMID: 16481611
    Matched MeSH terms: Computer-Assisted Instruction/methods
  10. Lim HM, Ng CJ, Teo CH, Lee PY, Kassim PSJ, Nasharuddin NA, et al.
    PLoS One, 2021;16(6):e0253471.
    PMID: 34166432 DOI: 10.1371/journal.pone.0253471
    BACKGROUND: Engaging students in the e-learning development process enhances the effective implementation of e-learning, however, students' priority on the topics for e-learning may differ from that of the educators. This study aims to compare the differences between the students and their educators in prioritising the topics in three healthcare curricula for reusable e-learning object (RLO) development.

    METHOD: A modified Delphi study was conducted among students and educators from University Malaya (UM), Universiti Putra Malaysia (UPM) and Taylor's University (TU) on three undergraduate programmes. In Round 1, participants were asked to select the topics from the respective syllabi to be developed into RLOs. Priority ranking was determined by using frequencies and proportions. The first quartile of the prioritised topics was included in Round 2 survey, which the participants were asked to rate the level of priority of each topic using a 5-point Likert scale. The mean score of the topics was compared between students and educators.

    RESULT: A total of 43 educators and 377 students participated in this study. For UM and TU Pharmacy, there was a mismatch in the prioritised topics between the students and educators. For UPM, both the educators and students have prioritised the same topics in both rounds. To harmonise the prioritisation of topics between students and educators for UM and TU Pharmacy, the topics with a higher mean score by both the students and educators were prioritised.

    CONCLUSION: The mismatch in prioritised topics between students and educators uncovered factors that might influence the prioritisation process. This study highlighted the importance of conducting needs assessment at the beginning of eLearning resources development.

    Matched MeSH terms: Computer-Assisted Instruction*
  11. Hossain MJ, Ahmmed F, Sarker MMR, Sarwar S, Bari MS, Khan MR, et al.
    Front Public Health, 2021;9:807474.
    PMID: 35223762 DOI: 10.3389/fpubh.2021.807474
    Severe session jam phobia (SJP), the extent of underprivileged online education, and subsequent mental health disorders among students have emerged as distinguished global problems due to the overwhelming effects of coronavirus disease 2019 (COVID-19). The purpose of this research was to evaluate the impact of extended COVID-19 lockdown and its mediating factors on current e-Learning activities, the prevalence of severe SJP and psychological distress among university students in Bangladesh. A web-based cross-sectional study was conducted to assemble responses through Google Form by applying a simple snowball sampling technique among university students aged 18 years or above in Bangladesh. All ethical considerations were maintained, and univariate, bivariate, and multivariate analyses were employed to analyze the acquired data set. Among the total analyzed data (n = 1,122), the male and female ratio was almost 1:1, and a remarkable segment (63.7%) was aged between 21-24 years. Alarmingly, around 50-60% of the students were suffering from severe SJP, prevailing underprivileged education in the e-Learning platform, and severe mental distress. Logistic regression analyses demonstrated that the students from public universities, lower- and mid-income families, lower-aged, and junior years education groups were significantly (p < 0.05) more underprivileged than their counter groups. Besides, the monthly family income and university type significantly influenced the extent of severe SJP. Finally, the students who were female, rustic, come from low-income families (below 25,000 BDT), who had academic uncertainty, job insecurity, online exam phobia, and dissatisfaction with e-Learning education, were significantly suffering from moderate to severe mental distress. The current evidence demonstrates that a substantial number of Bangladeshi university students are struggling with extreme session jam phobia, underprivileged e-Learning education, and subsequent psychological distress, which need to be immediately addressed through concerted efforts by the government, parents, and university authorities.
    Matched MeSH terms: Computer-Assisted Instruction*
  12. Saiboon IM, Zahari F, Isa HM, Sabardin DM, Robertson CE
    Front Public Health, 2021;9:628178.
    PMID: 33996711 DOI: 10.3389/fpubh.2021.628178
    Introduction: Teaching disaster response medicine (DRM) to medical students requires considerable resources. We evaluate the effectiveness of e-learning in teaching emergency disaster response (ELITE-DR), a novel initiative, in educating medical students of the cognitive aspect of DRM. Methods: A prospective cross-sectional study among pre-clinical year medical students was carried out to determine their knowledge on DRM and perception regarding the ELITE-DR initiative using a validated online questionnaire. A three-part self-learning video covering the principles and medical management of DRM were distributed before answering the questionnaire served as the training. Results: A total of 168 students participated in the study. Their overall knowledge showed a significant increase in between pre-and-post-interventions. Recall and simple decision-making knowledge aspects were better than complex decision-making knowledge. It appeared that participants assimilate knowledge better from visual rather than audio stimuli. Participants with high perception-scores demonstrated better knowledge-scores. However, e-learning was not preferred as a substitute for face-to-face (F2F) teaching. Conclusion: ELITE-DR shows promise in teaching DRM. Simple recall and comprehension levels of knowledge were well-served through this technique. However, for more complex decision-making knowledge, a different approach might be required. ELITE-DR offers flexibility, accessibility, and personalized learning. The content presentation is improved by using several different visual stimuli. This approach is useful for cognitive aspect learning, but it should not replace standard F2F teaching.
    Matched MeSH terms: Computer-Assisted Instruction*
  13. Maloney S, Nicklen P, Rivers G, Foo J, Ooi YY, Reeves S, et al.
    J Med Internet Res, 2015;17(7):e182.
    PMID: 26197801 DOI: 10.2196/jmir.4346
    Blended learning describes a combination of teaching methods, often utilizing digital technologies. Research suggests that learner outcomes can be improved through some blended learning formats. However, the cost-effectiveness of delivering blended learning is unclear.
    Matched MeSH terms: Computer-Assisted Instruction/economics*; Computer-Assisted Instruction/methods*; Computer-Assisted Instruction/standards
  14. Yang J, Peng MY, Wong S, Chong W
    Front Psychol, 2021;12:584976.
    PMID: 33868072 DOI: 10.3389/fpsyg.2021.584976
    The COVID-19 pandemic at the beginning of 2020 has changed the conventional learning mode for most students at schools all over the world, and the e-learning at home has become a new trend. Taking Chinese college students as the research subject and drawing on the stimulus-organism-response (S-O-R) model, this paper examines the relationship between the peer referent, perceived closeness, and perceived control and the learning engagement. Using data from 377 college students who have used e-learning, this study shows that perceived closeness, perceived control, and peer referents in e-learning have a positive effect on the self-efficacy and well-being of students, thus improving students' enthusiasm for learning. Our intent is to assist researchers, instructors, designers, and others in identifying effective methods to conceptualize and measure student engagement in e-learning.
    Matched MeSH terms: Computer-Assisted Instruction
  15. Gbolahan Balogun W
    Anat Sci Educ, 2019 Jan;12(1):97-104.
    PMID: 30255559 DOI: 10.1002/ase.1831
    Anatomy education forms the foundation of a successful medical education. This has necessitated the development of innovative ideas to meet up with current realities. Despite these innovative ideas, there are challenges facing anatomy education, especially in sub-Saharan Africa. Problems such as inadequate teaching experts and outdated curricula have made anatomy education in sub-Saharan Africa uninviting and disinteresting. Several interventions have been suggested, such as the procurement of teaching tools and upgrading of teaching infrastructure. However, in this age of information technology; anatomy education, especially in sub-Saharan Africa could benefit from the integration of electronic tools and resources. This article explores the electronic tools and resources such as three-dimensional printing, educational games, and short videos that are readily available for the teaching of anatomy in sub-Saharan Africa. The author concludes by discussing how these electronic tools and resources can be used to address many of the challenges facing anatomy education in sub-Saharan Africa.
    Matched MeSH terms: Computer-Assisted Instruction/instrumentation; Computer-Assisted Instruction/methods*; Computer-Assisted Instruction/trends
  16. He YZ, Yusop FD
    Data Brief, 2020 Apr;29:105230.
    PMID: 32123703 DOI: 10.1016/j.dib.2020.105230
    This dataset contains demographic information of 355 respondents and a validated 32-items Stages of Concerns Questionnaire (SoCQ). The SoCQ questionnaire was developed based on the Concerns-Based Adoption Model (CBAM) which measures seven stages of concerns as the variables. They are unconcerned, informational, personal, management, consequence, collaboration and refocusing. The data was firstly tested with normality, followed by validity checking using confirmatory factor analysis (CFA). It is useful for policy makers and stakeholders to have a thorough understanding about teachers' concerns on the use of the e-learning platform and thus, design suitable interventions to smoothen the adoption process of using the technology. This set of data could be used in a multi-racial developing country for more complex analyses.
    Matched MeSH terms: Computer-Assisted Instruction
  17. Seluakumaran K, Jusof FF, Ismail R, Husain R
    Adv Physiol Educ, 2011 Dec;35(4):369-77.
    PMID: 22139773 DOI: 10.1152/advan.00008.2011
    Educators in medical schools around the world are presently experimenting with innovative ways of using web-based learning to supplement the existing teaching and learning process. We have recently used a popular open-source course management system (CMS) called the modular object-oriented dynamic learning environment (Moodle) to construct an online site (DPhysiol) to facilitate our face-to-face teaching of physiology to a group of first-year students in the Bachelor of Medicine and Bachelor of Surgery program. The integration of the Moodle site into our teaching was assessed using online log activity, student examination marks, and feedback from students. The freely available Moodle platform was simple to use, helped to effectively deliver course materials, and has features that allowed cooperative learning. Students who used the CMS throughout their academic year and commented favorably regarding its use as a complement to the face-to-face classroom sessions. The group of students used the CMS obtained significantly higher scores in the final examination compared with the previous class that did not use the CMS. In addition, there was a significant correlation between student participation and performance in online quizzes and their final examination marks. However, students' overall online usage of the CMS did not correlate with their examination marks. We recommend Moodle as a useful tool for physiology educators who are interested in integrating web-based learning into their existing teaching curriculum.
    Matched MeSH terms: Computer-Assisted Instruction*
  18. Saadati F, Ahmad Tarmizi R, Mohd Ayub AF, Abu Bakar K
    PLoS One, 2015;10(7):e0129938.
    PMID: 26132553 DOI: 10.1371/journal.pone.0129938
    Because students' ability to use statistics, which is mathematical in nature, is one of the concerns of educators, embedding within an e-learning system the pedagogical characteristics of learning is 'value added' because it facilitates the conventional method of learning mathematics. Many researchers emphasize the effectiveness of cognitive apprenticeship in learning and problem solving in the workplace. In a cognitive apprenticeship learning model, skills are learned within a community of practitioners through observation of modelling and then practice plus coaching. This study utilized an internet-based Cognitive Apprenticeship Model (i-CAM) in three phases and evaluated its effectiveness for improving statistics problem-solving performance among postgraduate students. The results showed that, when compared to the conventional mathematics learning model, the i-CAM could significantly promote students' problem-solving performance at the end of each phase. In addition, the combination of the differences in students' test scores were considered to be statistically significant after controlling for the pre-test scores. The findings conveyed in this paper confirmed the considerable value of i-CAM in the improvement of statistics learning for non-specialized postgraduate students.
    Matched MeSH terms: Computer-Assisted Instruction/methods*
  19. Cheah YN, Rashid FA, Abidi SS
    PMID: 14664077
    Existing Problem-Based Learning (PBL) problems, though suitable in their own right for teaching purposes, are limited in their potential to evolve by themselves and to create new knowledge. Presently, they are based on textbook examples of past cases and/or cases that have been transcribed by a clinician. In this paper, we present (a) a tacit healthcare knowledge representation formalism called Healthcare Scenarios, (b) the relevance of healthcare scenarios in PBL in healthcare and medicine, (c) a novel PBL-Scenario-based tacit knowledge explication strategy and (d) an online PBL Problem Composer and Presenter (PBL-Online) to facilitate the acquisition and utilisation of expert-quality tacit healthcare knowledge to enrich online PBL. We employ a confluence of healthcare knowledge management tools and Internet technologies to bring tacit healthcare knowledge-enriched PBL to a global and yet more accessible level.
    Matched MeSH terms: Computer-Assisted Instruction*
  20. Azlan CA, Wong JHD, Tan LK, A D Huri MSN, Ung NM, Pallath V, et al.
    Phys Med, 2020 Dec;80:10-16.
    PMID: 33070007 DOI: 10.1016/j.ejmp.2020.10.002
    PURPOSE: We present the implementation of e-learning in the Master of Medical Physics programme at the University of Malaya during a partial lockdown from March to June 2020 due to the COVID-19 pandemic.

    METHODS: Teaching and Learning (T&L) activities were conducted virtually on e-learning platforms. The students' experience and feedback were evaluated after 15 weeks.

    RESULTS: We found that while students preferred face-to-face, physical teaching, they were able to adapt to the new norm of e-learning. More than 60% of the students agreed that pre-recorded lectures and viewing videos of practical sessions, plus answering short questions, were beneficial. Certain aspects, such as hands-on practical and clinical experience, could never be replaced. The e-learning and study-from-home environment accorded a lot of flexibility. However, students also found it challenging to focus because of distractions, lack of engagement and mental stress. Technical problems, such as poor Internet connectivity and limited data plans, also compounded the problem.

    CONCLUSION: We expect e-learning to prevail in future. Hybrid learning strategies, which includes face-to-face classes and e-learning, will become common, at least in the medical physics programme of the University of Malaya even after the pandemic.

    Matched MeSH terms: Computer-Assisted Instruction/methods*
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