Displaying publications 301 - 320 of 934 in total

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  1. Learning professionalism by role-modelling
    Loh KY, Nalliah S
    Med Educ, 2010 Nov;44(11):1123.
    PMID: 20963918
    Matched MeSH terms: Learning*
  2. Fulltext Explicit constructivism: a missing link in ineffective lectures?
    Prakash ES
    Adv Physiol Educ, 2010 Jun;34(2):93-6.
    PMID: 20522904 DOI: 10.1152/advan.00025.2010
    This study tested the possibility that interactive lectures explicitly based on activating learners' prior knowledge and driven by a series of logical questions might enhance the effectiveness of lectures. A class of 54 students doing the respiratory system course in the second year of the Bachelor of Medicine and Bachelor of Surgery program in my university was randomized to two groups to receive one of two types of lectures, "typical" lectures (n = 28, 18 women and 10 men) or "constructivist" lectures (n = 26, 19 women and 7 men), on the same topic: the regulation of respiration. Student pretest scores in the two groups were comparable (P > 0.1). Students that received the constructivist lectures did much better in the posttest conducted immediately after the lectures (6.8 +/- 3.4 for constructivist lectures vs. 4.2 +/- 2.3 for typical lectures, means +/- SD, P = 0.004). Although both types of lectures were well received, students that received the constructivist lectures appeared to have been more satisfied with their learning experience. However, on a posttest conducted 4 mo later, scores obtained by students in the two groups were not any different (6.9 +/- 3 for constructivist lectures vs. 6.9 +/- 3.7 for typical lectures, P = 0.94). This study adds to the increasing body of evidence that there is a case for the use of interactive lectures that make the construction of knowledge and understanding explicit, easy, and enjoyable to learners.
    Matched MeSH terms: Problem-Based Learning/methods*
  3. Seeing the wood for the trees: approaches to teaching and assessing clinical pharmacology and therapeutics in a problem-based learning course
    Azer SA, Frauman AG
    Ann Acad Med Singap, 2008 Mar;37(3):204-9.
    PMID: 18392299
    For about 50 years, clinical pharmacology and therapeutics have been taught in the medical schools via traditional lectures and practical classes. During this time, significant changes have occurred in our understanding of medicine and basic sciences. Also the needs for our community have changed dramatically. The explosion of scientific discoveries, the use of new technologies in disease diagnosis, the availability of a wide range of therapeutic options, and the availability of knowledge to everyone via the Internet have necessitated new approaches for teaching medical and other health professional students. Finding information related to a topic has not become a priority in teaching, what has become more important is to teach undergraduate students how to think in addition to what to think. Applying information learnt and assessing its significance in real life situations has become mandatory. The aims of this paper were: (i) to discuss the model we used in introducing clinical pharmacology and therapeutics teaching in the undergraduate course at the University of Melbourne and the educational principles behind the model, and (ii) to discuss the new tools of assessment used in a problem-based learning (PBL) curriculum.
    Matched MeSH terms: Problem-Based Learning*
  4. What proteins are involved in learning and memory?
    Perumal R, Tan I
    IUBMB Life, 2007 Jul;59(7):465-8.
    PMID: 17654123
    Matched MeSH terms: Learning/physiology*
  5. Perception of students about the problem-based learning sessions conducted for medical and dental schools' students of Universiti Sains Malaysia
    Barman A, Jaafar R, Naing NN
    Educ Health (Abingdon), 2006 Nov;19(3):363-8.
    PMID: 17178518
    Matched MeSH terms: Problem-Based Learning*
  6. Peer-guided cooperative learning enhances the performance of refresher students
    Torke S, Abraham RR, Ramnarayan K, Upadhya S
    Adv Physiol Educ, 2007 Mar;31(1):118.
    PMID: 17327594
    Matched MeSH terms: Problem-Based Learning/methods*
  7. What is the ultimate goal in acid-base regulation?
    Balakrishnan S, Gopalakrishnan M, Alagesan M, Prakash ES
    Adv Physiol Educ, 2007 Mar;31(1):51-4.
    PMID: 17327583
    It is common to see chapters on acid-base physiology state that the goal of acid-base regulatory mechanisms is to maintain the pH of arterial plasma and not arterial Pco(2) (Pa(CO(2))) or plasma HCO(3). A hypothetical situation in which the Pa(CO(2)) of arterial plasma is 80 mmHg and the plasma HCO(3) concentration is 48 mM is presented and analyzed to get over this misconception. As per the modified Henderson equation, the pH of arterial plasma would be 7.4; however, we explain that this may be associated with intracellular acidosis due to intracellular hypercapnia and that derangement of homeostasis is evident from the occurrence of respiratory depression and, eventually, coma in the patient described. This suggests that the ultimate goal of acid-base regulatory mechanisms is not just the maintenance of the pH of arterial plasma but the maintenance of the steady-state pH of intracellular fluid as well.
    Matched MeSH terms: Problem-Based Learning*
  8. The broken lecture: an innovative method of teaching
    Nayak SB
    Adv Physiol Educ, 2006 Mar;30(1):48.
    PMID: 16481611
    Matched MeSH terms: Problem-Based Learning/methods*
  9. A midlecture student seminar: an activity to break the monotony
    Mohandas Rao KG
    Adv Physiol Educ, 2006 Dec;30(4):262-263.
    PMID: 17108258
    Matched MeSH terms: Problem-Based Learning*
  10. Effects of nutritional status on academic performance of Malaysian primary school children
    Anuar Zaini MZ, Lim CT, Low WY, Harun F
    Asia Pac J Public Health, 2005;17(2):81-7.
    PMID: 16425650
    Numerous factors are known to affect the academic performance of students. These include prenatal conditions, birth conditions, postnatal events, nutritional, socio-economic factors and environmental factors. This paper examines the nutritional status and its relationship with academic performance of 9-10 years old primary school children recruited randomly in Selangor, Malaysia. A standard self-administered questionnaire was utilized to obtain pertinent information and a face-to-face interview was also conducted with the parents. Results of the academic performances were extracted from the students' report cards. The intellectual performance was assessed using Raven's Coloured Progressive Matrices. Physical examination was also conducted on these students by doctors. Overall 1,405 students and 1,317 parents responded to the survey. Of these 83.6% were Malays, 11.6% Indians, and 4.2% Chinese. The majority of them (82.9%) were from urban areas. The female: male ratio was 51:49; mean age was 9.71 years. The mean height and weight were 32.3 kg and 135.2 cm respectively. Their mean BMI was 17.42 kg/cm2, with 0.9% underweight, 76.3% normal BMI, 16.3% overweight, and 6.3% obese. Academic performance was significantly correlated with breast feeding, income and educational level of their parents, BMI, and whether they have been taking breakfast. There was a weak correlation between presence of anaemia and intellectual performance. Improving the socio-economic status of the parents will lend a helping hand in the academic performance of the students. Since breast feeding is associated with better academic and intellectual performance it must be emphasized, particularly to expectant mothers in the antenatal clinics.
    Matched MeSH terms: Learning*
  11. Anthropometric database for the learning environment of high school and university students
    Dawal SZ, Zadry HR, Azmi SN, Rohim SR, Sartika SJ
    Int J Occup Saf Ergon, 2012;18(4):461-72.
    PMID: 23294660
    This paper presents an anthropometric database of high school and university students from Kuala Lumpur, Malaysia. Forty-one high school participants (21 males and 20 females), 13-17 years old, and 143 university students (74 males and 69 females) took part in the study. Twenty-one static body dimensions were measured. The greatest mean differences in the anthropometric data between male and female high school students were found in the sitting elbow height. In addition, a comparison of anthropometric data of male and female university students showed that data for males and females were significantly different, except for buttock-popliteal length, sitting elbow height and thigh clearance. The primary aim of this study was to develop an anthropometric database that could be used as a primary reference in designing products, devices and equipment for ergonomic learning environments.
    Matched MeSH terms: Learning*
  12. Review of PBL 'problems' and examination questions
    Majumder AA
    Med Teach, 2005 Aug;27(5):474.
    PMID: 16231863
    Matched MeSH terms: Problem-Based Learning*
  13. Portfolio as a learning tool: students' perspective
    Elango S, Jutti RC, Lee LK
    Ann Acad Med Singap, 2005 Sep;34(8):511-4.
    PMID: 16205830
    Portfolio writing is a method of encouraging reflective learning among professionals. Although portfolio-based learning is popular among educators, not many studies have been done to determine students' perceptions of portfolio as a learning tool. A questionnaire survey was conducted among 143 medical students to find out their perceptions of the portfolio as a learning tool. A majority of the students felt that the portfolio is a good learning tool. However, they also perceived that it is stressful and time-consuming to develop a proper portfolio. The study indicates that students need appropriate guidance from the academic staff for the system to succeed.
    Matched MeSH terms: Learning*
  14. Fulltext Increased correlation coefficient between the written test score and tutors' performance test scores after training of tutors for assessment of medical students during problem-based learning course in Malaysia
    Jaiprakash H, Min AK, Ghosh S
    Korean J Med Educ, 2016 Mar;28(1):123-5.
    PMID: 26838577 DOI: 10.3946/kjme.2016.18
    This paper is aimed at finding if there was a change of correlation between the written test score and tutors' performance test scores in the assessment of medical students during a problem-based learning (PBL) course in Malaysia. This is a cross-sectional observational study, conducted among 264 medical students in two groups from November 2010 to November 2012. The first group's tutors did not receive tutor training; while the second group's tutors were trained in the PBL process. Each group was divided into high, middle and low achievers based on their end-of-semester exam scores. PBL scores were taken which included written test scores and tutors' performance test scores. Pearson correlation coefficient was calculated between the two kinds of scores in each group. The correlation coefficient between the written scores and tutors' scores in group 1 was 0.099 (p<0.001) and for group 2 was 0.305 (p<0.001). The higher correlation coefficient in the group where tutors received the PBL training reinforces the importance of tutor training before their participation in the PBL course.
    Matched MeSH terms: Problem-Based Learning*
  15. Fulltext The relationship between learning preferences (styles and approaches) and learning outcomes among pre-clinical undergraduate medical students
    Liew SC, Sidhu J, Barua A
    BMC Med Educ, 2015;15:44.
    PMID: 25889887 DOI: 10.1186/s12909-015-0327-0
    Learning styles and approaches of individual undergraduate medical students vary considerably and as a consequence, their learning needs also differ from one student to another. This study was conducted to identify different learning styles and approaches of pre-clinical, undergraduate medical students and also to determine the relationships of learning preferences with performances in the summative examinations.
    Matched MeSH terms: Learning*
  16. Influence of context and preferred learning environments: approaches to studying physiology
    Tan CM, Thanaraj K
    Med Educ, 1993 Mar;27(2):143-59.
    PMID: 8336561
    One hundred and twenty-eight medical students who had experienced a traditional-style preclinical curriculum completed three self-report questionnaires. Using factor analysis of students' responses this study explores interactions between study orientation, preferences for different kinds of learning environment, and evaluations of the physiology course. Such interactions can provide insight into the reasons why students fail to adopt effective learning strategies. Although many students had the intention to understand, they did not adopt a deep approach. Achievement motivation was strong, test anxiety high, and the course was perceived to be competitive. The meaning orientation merged with the achieving orientation; students were thus performance rather than task oriented. These students perceived the course to have been challenging, as did students within the reproducing orientation and who had 'surface' preferences. Students within the non-academic orientation had difficulty coping with the course. The findings suggest that conventional teaching and assessment methods are preventing students from developing appropriate criteria and internal standards for evaluating performance. An illusion of comprehension may prevent students from seeing the need to adopt more effective learning strategies and cause 'good' students with the ability to adopt a deep approach to abort the pursuit of deep understanding. Students' preferences and evaluations of teaching and assessment indicate that students within the different learning orientations have different educational needs. The implications for instruction and evaluation are discussed.
    Matched MeSH terms: Learning*
  17. Problem-based learning: an educational strategy for interactive learning: experience from Universiti Sains Malaysia
    Salam A
    Med Teach, 2004 May;26(3):279.
    PMID: 15203509
    Matched MeSH terms: Problem-Based Learning*
  18. Fulltext Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review
    Albahri AS, Hamid RA, Alwan JK, Al-Qays ZT, Zaidan AA, Zaidan BB, et al.
    J Med Syst, 2020 May 25;44(7):122.
    PMID: 32451808 DOI: 10.1007/s10916-020-01582-x
    Coronaviruses (CoVs) are a large family of viruses that are common in many animal species, including camels, cattle, cats and bats. Animal CoVs, such as Middle East respiratory syndrome-CoV, severe acute respiratory syndrome (SARS)-CoV, and the new virus named SARS-CoV-2, rarely infect and spread among humans. On January 30, 2020, the International Health Regulations Emergency Committee of the World Health Organisation declared the outbreak of the resulting disease from this new CoV called 'COVID-19', as a 'public health emergency of international concern'. This global pandemic has affected almost the whole planet and caused the death of more than 315,131 patients as of the date of this article. In this context, publishers, journals and researchers are urged to research different domains and stop the spread of this deadly virus. The increasing interest in developing artificial intelligence (AI) applications has addressed several medical problems. However, such applications remain insufficient given the high potential threat posed by this virus to global public health. This systematic review addresses automated AI applications based on data mining and machine learning (ML) algorithms for detecting and diagnosing COVID-19. We aimed to obtain an overview of this critical virus, address the limitations of utilising data mining and ML algorithms, and provide the health sector with the benefits of this technique. We used five databases, namely, IEEE Xplore, Web of Science, PubMed, ScienceDirect and Scopus and performed three sequences of search queries between 2010 and 2020. Accurate exclusion criteria and selection strategy were applied to screen the obtained 1305 articles. Only eight articles were fully evaluated and included in this review, and this number only emphasised the insufficiency of research in this important area. After analysing all included studies, the results were distributed following the year of publication and the commonly used data mining and ML algorithms. The results found in all papers were discussed to find the gaps in all reviewed papers. Characteristics, such as motivations, challenges, limitations, recommendations, case studies, and features and classes used, were analysed in detail. This study reviewed the state-of-the-art techniques for CoV prediction algorithms based on data mining and ML assessment. The reliability and acceptability of extracted information and datasets from implemented technologies in the literature were considered. Findings showed that researchers must proceed with insights they gain, focus on identifying solutions for CoV problems, and introduce new improvements. The growing emphasis on data mining and ML techniques in medical fields can provide the right environment for change and improvement.
    Matched MeSH terms: Machine Learning*
  19. Fulltext An evaluation study on gamified online learning experiences and its acceptance among medical students
    Ohn MH, Ohn KM
    Ci Ji Yi Xue Za Zhi, 2019 06 06;32(2):211-215.
    PMID: 32269957 DOI: 10.4103/tcmj.tcmj_5_19
    Objective: The successful application of gamification in different educational settings shows that the use of gamification in medical education may be an effective solution. Even though many studies have been conducted to investigate the efficacy of the integration of gamification to different education curriculums, few studies have examined the reactions, behaviors, and attitudes of learners toward the use of gamification in medical education. Hence, this study aimed to evaluate the medical students' learning experience and acceptance of the use of gamification for the delivery of electrocardiogram lessons.

    Materials and Methods: A qualitative research method was used to generate findings in this study. The data collection methods included focus group discussions and interviews. Triangulation methods were used to ensure the validity and reliability of the qualitative data analyzed in this study. The thematic analysis of the data collected in this study helped to garner insights into the perception of participants and experts about the use of GaMed@™ for the delivery of ECG lessons.

    Results: A total number of 32 medical students and four experts in the fields of user experience, communication, social psychology, and game design participated in this study. The findings showed that in spite of the negative reports about the user experience and application of GaMed@™, the participants and experts affirmed its positive impact on the increased motivation and engagement of users.

    Conclusions: The impact of this concept can be maximized by tailoring the game design to foster-positive learning attributes, behaviors, and outcomes in students. However, further research studies must be conducted to investigate the impact of gamification designs on specific learning outcomes in students.

    Matched MeSH terms: Learning; Problem-Based Learning
  20. Fulltext Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques
    Chowdhury MH, Shuzan MNI, Chowdhury MEH, Mahbub ZB, Uddin MM, Khandakar A, et al.
    Sensors (Basel), 2020 Jun 01;20(11).
    PMID: 32492902 DOI: 10.3390/s20113127
    Hypertension is a potentially unsafe health ailment, which can be indicated directly from the blood pressure (BP). Hypertension always leads to other health complications. Continuous monitoring of BP is very important; however, cuff-based BP measurements are discrete and uncomfortable to the user. To address this need, a cuff-less, continuous, and noninvasive BP measurement system is proposed using the photoplethysmograph (PPG) signal and demographic features using machine learning (ML) algorithms. PPG signals were acquired from 219 subjects, which undergo preprocessing and feature extraction steps. Time, frequency, and time-frequency domain features were extracted from the PPG and their derivative signals. Feature selection techniques were used to reduce the computational complexity and to decrease the chance of over-fitting the ML algorithms. The features were then used to train and evaluate ML algorithms. The best regression models were selected for systolic BP (SBP) and diastolic BP (DBP) estimation individually. Gaussian process regression (GPR) along with the ReliefF feature selection algorithm outperforms other algorithms in estimating SBP and DBP with a root mean square error (RMSE) of 6.74 and 3.59, respectively. This ML model can be implemented in hardware systems to continuously monitor BP and avoid any critical health conditions due to sudden changes.
    Matched MeSH terms: Machine Learning*
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