Dataset Information

University Admission Test Associates with Academic Performance at the End of Medical Course in a PBL Medical Hybrid Curriculum.

ABSTRACT: Purpose:Most studies assessing the value of the university admissions test (UAT) to predict academic performance at the end of a medical course were carried out on lecture-based medical courses. However, the association between performance in the UAT with academic achievement at the end of medical course in a problem-based learning (PBL) medical hybrid curriculum remains controversial. The aim of this study was to correlate marks in the UAT with those obtained in the Organized Structured Clinical Examination (OSCE), in the progress testing (PT), and in the final marks of the clerkship (FMC). Methods:We used data from 48 medical students. A single and a multiple dependency studies were performed to assess bivariate and multiple correlation between the UAT or the essay scores (dependent variables) and the OSCE, PT, and FMC (independent variables). Pearson test, multiple linear regression, and ANOVA tests were used and a p-value < 0.05 was considered significant. Results:In the bivariate analysis, only the UAT and FMC marks were correlated (r=0.34; p=0.02). However, the multiple dependency study showed a moderate correlation among UAT, OSCE, PT, and FMC marks (r=0.46; p=0.01). No correlation was found between the essay scores and PT, FMC, and OSCE scores. Conclusion:Our study shows that UAT marks, but not essay scores, can predict academic achievement, particularly in terms of clinical competence (FMC) at the end of a medical course in a PBL hybrid curriculum.

SUBMITTER: Bestetti RB

PROVIDER: S-EPMC7457881 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

University Admission Test Associates with Academic Performance at the End of Medical Course in a PBL Medical Hybrid Curriculum.

Bestetti Reinaldo B RB Couto Lucélio B LB Roncato-Paiva Priscila P Romão Gustavo S GS Faria-Jr Milton M Furlan-Daniel Rosemary Aparecida RA Geleilete Tufik José Magalhães TJM Jorge-Neto Salim Demetrio SD Mendonça Fernanda Porfirio FP Garcia Marcelo Engracia ME Durand Marina Toledo MT

Advances in medical education and practice 20200825

<h4>Purpose</h4>Most studies assessing the value of the university admissions test (UAT) to predict academic performance at the end of a medical course were carried out on lecture-based medical courses. However, the association between performance in the UAT with academic achievement at the end of medical course in a problem-based learning (PBL) medical hybrid curriculum remains controversial. The aim of this study was to correlate marks in the UAT with those obtained in the Organized Structured ...[more]

PMID: 32922117

Similar Datasets

Project description:BackgroundNursing education in Iran has conventionally focused on lecture-based strategies. Improvements in teaching and learning over the years have led to an expansion of the pedagogies available to educators. Likewise, there has been a suggestion for a move toward more learner-centered teaching strategies and pedagogies that can result in improvement in learning. This study was undertaken to investigate the effects of Problem-Based Learning in developing cognitive skills in learning Pediatric Nursing among university students.MethodsIn this quasi-experimental, posttest-only nonequivalent control group design, the subjects were undergraduate students who had enrolled in Pediatric Nursing II at Islamic Azad University in Iran. The experiment was conducted over a period of eight weeks, one two-hour session and two two-hour sessions. Two experimental groups, Pure Problem-Based Learning (PPBL) and the Hybrid Problem- Based Learning (HPBL), and one Lecturing or Conventional Teaching and Learning (COTL) group were involved. In the PPBL group, PBL method with guided questions and a tutor, and in the HPBL group, problem-based learning method, some guided questions, minimal lecturing and a tutor were used. The COTL group, however, underwent learning using conventional instruction utilizing full lecture. The three groups were compared on cognitive performances, namely, test performance, mental effort, and instructional efficiency. Two instruments, i.e., Pediatric Nursing Performance Test (PNPT) and Paas Mental Effort Rating Scale (PMER) were used. In addition, the two-Dimensional Instructional Efficiency Index (IEI) formula was utilized. The statistical analyses used were ANOVA, ANCOVA, and mixed between-within subjects ANOVA.ResultsResults showed that the PPBL and HPBL instructional methods, in comparison with COTL, enhanced the students' overall and higher-order performances in Pediatric Nursing, and induced higher level of instructional efficiency with less mental effort (p?<?0.005). Although there was no significant difference in lower-order performance among the groups during the posttest (p?=?0.92), the HPBL group outperformed the COTL group on the delayed posttest (p?=?0.028).ConclusionsIt may be concluded that both forms of PBL were effective for learning Pediatric Nursing. Moreover, PBL appears to be useful where there are shortages of instructors for handling teaching purposes.

Project description:No universal solution, based on an approved pedagogical approach, exists to parametrically describe, effectively manage, and clearly visualize a higher education institution's curriculum, including tools for unveiling relationships inside curricular datasets.We aim to solve the issue of medical curriculum mapping to improve understanding of the complex structure and content of medical education programs. Our effort is based on the long-term development and implementation of an original web-based platform, which supports an outcomes-based approach to medical and healthcare education and is suitable for repeated updates and adoption to curriculum innovations.We adopted data exploration and visualization approaches in the context of medical curriculum innovations in higher education institutions domain. We have developed a robust platform, covering detailed formal metadata specifications down to the level of learning units, interconnections, and learning outcomes, in accordance with Bloom's taxonomy and direct links to a particular biomedical nomenclature. Furthermore, we used selected modeling techniques and data mining methods to generate academic analytics reports from medical curriculum mapping datasets.We present a solution that allows users to effectively optimize a curriculum structure that is described with appropriate metadata, such as course attributes, learning units and outcomes, a standardized vocabulary nomenclature, and a tree structure of essential terms. We present a case study implementation that includes effective support for curriculum reengineering efforts of academics through a comprehensive overview of the General Medicine study program. Moreover, we introduce deep content analysis of a dataset that was captured with the use of the curriculum mapping platform; this may assist in detecting any potentially problematic areas, and hence it may help to construct a comprehensive overview for the subsequent global in-depth medical curriculum inspection.We have proposed, developed, and implemented an original framework for medical and healthcare curriculum innovations and harmonization, including: planning model, mapping model, and selected academic analytics extracted with the use of data mining.

Project description:The school-leaving GPA and the time since completion of secondary education are the major criteria for admission to German medical schools. However, the predictive value of the school-leaving grade and the admission delay have not been thoroughly examined since the amendment of the Medical Licensing Regulations and the introduction of reformed curricula in 2002. Detailed information on the prognosis of the different admission groups is also missing.To examine the predictive values of the school-leaving grade and the age at enrolment for academic performance and continuity throughout the reformed medical course.The study includes the central admission groups "GPA-best" and "delayed admission" as well as the primary and secondary local admission groups of three consecutive cohorts. The relationship between the criteria academic performance and continuity and the predictors school-leaving GPA, enrolment age, and admission group affiliation were examined up to the beginning of the final clerkship year.The academic performance and the prolongation of the pre-clinical part of undergraduate training were significantly related to the school-leaving GPA. Conversely, the dropout rate was related to age at enrolment. The students of the GPA-best group and the primary local admission group performed best and had the lowest dropout rates. The students of the delayed admission group and secondary local admission group performed significantly worse. More than 20% of these students dropped out within the pre-clinical course, half of them due to poor academic performance. However, the academic performance of all of the admission groups was highly variable and only about 35% of the students of each group reached the final clerkship year within the regular time.The school-leaving grade and age appear to have different prognostic implications for academic performance and continuity. Both factors have consequences for the delayed admission group. The academic prognosis of the secondary local admission group is as problematic as that of the delayed admission group. Additional admission instruments would be necessary, in order to recognise potentially able applicants independently of their school-leaving grade and to avoid the secondary admission procedure.

Project description:BACKGROUND: In the past two decades, scientific publications in Iran have considerably increased their medical science content, and the number of articles published in ISI journals has doubled between 1997 and 2001. The aim of the present study was to determine how frequently knowledge transfer strategies were applied in Tehran University of Medical Sciences (TUMS). We were also interested in studying the determining factors leading to the type of strategy selected. METHODOLOGY: All TUMS research projects that had received grants from inside and outside the university in 2004, and were completed by the end of 2006, were included in the study. In total, 301 projects were examined, and data on each of the projects were collected by the research team using a standardized questionnaire. The projects' principle investigators filled out a second questionnaire. In all, 208 questionnaires were collected. RESULTS: Researchers stated being more engaged in the passive strategies of knowledge transfer, especially those publishing in peer-reviewed journals. The mean score for the researchers' performance in passive and active strategies were 22% and 9% of the total score, respectively. Linear regression analysis showed that the passive strategy score decreased with the increase in the number of years working as a professional (p = 0.01) and personal interest as the only reason for choosing the research topic (p = 0.01). Regarding the active strategies of knowledge transfer, health system research studies significantly raised the score (p = 0.02) and 'executive responsibility' significantly lowered it (p = 0.03). CONCLUSION: As a study carried out in a Middle Eastern developing country, we see that, like many other universities in the world, many academicians still do not give priority to active strategies of knowledge transfer. Therefore, if 'linking knowledge to action' is necessary, it may also be necessary to introduce considerable changes in academic procedures and encouragement policies (e.g., employment and promotion criteria of academic members).

Dataset Information

University Admission Test Associates with Academic Performance at the End of Medical Course in a PBL Medical Hybrid Curriculum.

Publications

University Admission Test Associates with Academic Performance at the End of Medical Course in a PBL Medical Hybrid Curriculum.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure