ASSESSMENT OF SIMULATION BASED LEARNING AMONG UNDERGRADUATE STUDENTS IN UNIVERSITY OF BENIN, BENIN CITY, EDO STATE.
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Abstract
Background: Simulation-based learning is essential for preparing and training undergraduate students for their professional roles and enhancing their experiences and skills. Simulation-based learning (SBL), however, has not been widespread, despite its integration in the university curriculum. There is a gap in understanding how undergraduate students perceive and engage with simulation base learning. Objective: This study aims to assess the knowledge, attitude and practice of simulation based learning among undergraduate students in university of Benin. Subjects and Methods: A descriptive cross-sectional study design was utilized for this study using a self-administered questionnaire administered to 620 undergraduate students of university of Benin. Data collected was analyzed using IBM Statistical Package for Social Science (SPSS) 27.0. with statistical significance set at p<0.05 and 95% Confidence Interval. Categorical data was presented using frequency tables. Chi-square and Fischer’s Exact tests examined relationship between demographic characteristics and respondent’s knowledge, attitude, practice and challenges towards simulation-based learning. Results: The mean age and parity of respondents studied was 21.1 ± 3.1 years. In terms of sex, 54.8% of the respondents were male, and 45.2% were female. The tribal distribution of the respondents showed Benin (34.5%) with the highest proportion. Five hundred and twenty-five (84.7%) respondents were aware of simulation-based learning with 193 (36.7%) having good knowledge of SBL. Department and academic level were significant predictors of good SBL knowledge with respondents form Medicine and 600 level students showing a p-value of 0.042 and 1 respectively. In relation to attitude, 447 (85.1%) respondents had positive attitude towards simulation based learning while only 78 (14.9%) had negative attitude. Good knowledge and Academic level were significant predictors of attitude toward simulation-based learning with respondents from fourth-year having a coefficient of 0.836 with a p-value of 0.053, suggesting a near-significant positive influence on supportive attitudes, while respondents from sixth-year and respondents with good knowledge of SBL as reference category. In relation to practice, 53.9% (334) had participated in simulation-based learning activities, while 46.1% (286) had not. The academic level of study of respondents in their sixth year, good knowledge and attitude had a strong predictive value and significantly influenced participation of simulation-based learning. Conclusion: The study revealed that while awareness of simulation-based learning is high, over two-thirds of students showed limited understanding of its concepts, especially younger and less advanced students. Over four-fifths had a positive outlook on simulation-based learning, recognizing its value in enhancing knowledge and skills. Although more than half had participated in SBL activities, current engagement was lower, with only four-tenths actively involved. High-fidelity mannequins and virtual patients were commonly used, indicating a preference for realistic simulations. Notably, over one-fifth of respondents reported challenges, such as inadequate infrastructure, limited resources, technical issues, and time constraints, which hinder effective simulation-based learning implementation.
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