The self-regulated learner, entry characteristics and academic performance of undergraduate nursing students transitioning to University

Abstract

BackgroundAlthough the importance of fostering students self-regulated learning is well known, little is known about the relationship between student entry characteristics, particularly students from disadvantaged backgrounds, self-regulatory strategy use and academic performance. The study aim was to examine undergraduate nursing students' entry characteristics, motivational behaviours and learning strategies, and academic performance after transitioning into the first unit of an undergraduate nursing course. DesignA cross-sectional survey. SettingA university in Australia. ParticipantsFirst-year undergraduate nursing students. MethodsThe Motivational Strategies for Learning Questionnaire, including demographic information, was distributed to students in the fourth week of commencing University, consent was obtained for the use of student unit grades. ResultsFor the 448 eligible students, n = 282 (62.9%) completed the survey. Students were categorised by age into three groups: 18 years, 19–22 years, and 23+ years. Entry characteristics, motivation and learning strategies scores and academic performance were related to the age category with the greatest difference between 18 and 23+ student groups. 23 years+ had higher scores for 11 MSLQ scales (mean difference 0.78–0.31, p < 0.05) highest grades (F = 4.694, p = 0.010). Students 23+ years had the highest motivational behaviours and learning strategies. The international students' academic grades in this study were lower than the domestic student's grades (t = −2.212, p = 0.028). ConclusionThis study highlights the need to address the tensions that exist between attracting quality students, the requirement to assess their quality efficiently and allowing students from disadvantaged groups the opportunity to enter nursing undergraduate degree courses. This study contributes new knowledge to the impact students' entry characteristics have on motivational behaviours, learning strategy use and academic performance. Knowing this would allow faculty to identify students at risk of failure early in the course and offer instructional support.