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Student Characteristics Associated with Passing the Exam in Undergraduate Pharmacology Courses-a Cross-sectional Study in Six University Degree Programs.

ABSTRACT: Adequate knowledge in pharmacology is crucial in many professions but a non-negligible proportion of students fail the exams and knowledge of underlying factors is largely lacking. This study was performed to evaluate to what extent various factors are related to student performance in pharmacology-related courses in higher education, linking administrative data to attendance at non-mandatory teaching sessions and questionnaire replies. A total of 596 students (median age: 22 years; 70% female) were included from eight courses which are part of either the medical, pharmacy, dentistry, nursing, or biomedical analyst degree programs at the Sahlgrenska Academy, Gothenburg, Sweden. In all, 380 (64%) students passed the regular program- and course-specific exam. Multivariate logistic regression analysis revealed that a high participation rate in non-mandatory teaching sessions, as well as a perceived great interest in pharmacology, was associated with students' passing of the exam; adjusted odds ratio (95% confidence interval): 1.30 (1.19 to 1.42; per 10 percentage unit increase in attendance) and 3.38 (1.86 to 6.12), respectively. Working for wages during the course weeks and pre-university grades used in the program application were significant factors in subgroups of students, negatively and positively associated with the exam results, respectively. Age, having Swedish as a second language, and time spent studying were only associated with the exam result in the univariate analyses. To conclude, both students and teachers can contribute significantly to successful education within pharmacology, students by participating in the teaching sessions and teachers by encouraging students to find the subject interesting.

SUBMITTER: Carlsson T

PROVIDER: S-EPMC8368336 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND:Learning analytics aims to improve learning outcomes through the systematic measurement and analysis of learning-related data. However, which parameters have the highest predictive power for academic performance remains to be elucidated. The aim of this study was to investigate the correlation of different online assessment parameters with summative exam performance in undergraduate medical education of pharmacology. METHODS:A prospective study was conducted with a cohort of undergraduate medical students enrolled in a pharmacology course at Technical University of Munich, Germany. After a four-week teaching and learning period, students were given access to an online assessment platform consisting of 440 multiple choice (MC) questions. After 12 days, a final written summative exam was performed. Bivariate correlation and multiple regression analyses were performed for different online assessment parameters as predictors and summative exam performance as dependent variable. Self-perceived pharmacology competence was measured by questionnaires pre- and postintervention. RESULTS:A total of 224 out of 393 (57%) students participated in the study and were included in the analysis. There was no significant correlation for the parameters "number of logins" (r = 0.01, p = 0.893), "number of MC-questions answered" (r = 0.02, p = 0.813) and "time spent on the assessment platform" (r = - 0.05, p = 0.459) with exam performance. The variable "time per question" was statistically significant (p = 0.006), but correlated negatively (r = - 0.18) with academic performance of study participants. Only "total score" (r = 0.71, p < 0.001) and the "score of first attempt" (r = 0.72, p < 0.001) were significantly correlated with final grades. In a multiple regression analysis, "score first attempt" accounted for 52% of the variation of "score final exam", and "time per question" and "total score" for additional 5 and 1.4%, respectively. No gender-specific differences were observed. Finally, online assessments resulted in improved self-perceived pharmacology competence of students. CONCLUSION:In this prospective cohort study, we systematically assessed the correlation of different online assessments parameters with exam performance and their gender-neutrality. Our findings may help to improve predictive models of academic performance in undergraduate medical education of pharmacology.

Project description:In Nigerian universities, enrolment into any engineering undergraduate program requires that the minimum entry criteria established by the National Universities Commission (NUC) must be satisfied. Candidates seeking admission to study engineering discipline must have reached a predetermined entry age and met the cut-off marks set for Senior School Certificate Examination (SSCE), Unified Tertiary Matriculation Examination (UTME), and the post-UTME screening. However, limited effort has been made to show that these entry requirements eventually guarantee successful academic performance in engineering programs because the data required for such validation are not readily available. In this data article, a comprehensive dataset for empirical evaluation of entry requirements into engineering undergraduate programs in a Nigerian university is presented and carefully analyzed. A total sample of 1445 undergraduates that were admitted between 2005 and 2009 to study Chemical Engineering (CHE), Civil Engineering (CVE), Computer Engineering (CEN), Electrical and Electronics Engineering (EEE), Information and Communication Engineering (ICE), Mechanical Engineering (MEE), and Petroleum Engineering (PET) at Covenant University, Nigeria were randomly selected. Entry age, SSCE aggregate, UTME score, Covenant University Scholastic Aptitude Screening (CUSAS) score, and the Cumulative Grade Point Average (CGPA) of the undergraduates were obtained from the Student Records and Academic Affairs unit. In order to facilitate evidence-based evaluation, the robust dataset is made publicly available in a Microsoft Excel spreadsheet file. On yearly basis, first-order descriptive statistics of the dataset are presented in tables. Box plot representations, frequency distribution plots, and scatter plots of the dataset are provided to enrich its value. Furthermore, correlation and linear regression analyses are performed to understand the relationship between the entry requirements and the corresponding academic performance in engineering programs. The data provided in this article will help Nigerian universities, the NUC, engineering regulatory bodies, and relevant stakeholders to objectively evaluate and subsequently improve the quality of engineering education in the country.

Dataset Information

Student Characteristics Associated with Passing the Exam in Undergraduate Pharmacology Courses-a Cross-sectional Study in Six University Degree Programs.

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