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Approaches to studying predict academic performance in undergraduate occupational therapy students: a cross-cultural study

机译:研究预测职业治疗学生学业表现的方法:跨文化研究

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Background Learning outcomes may be a result of several factors including the learning environment, students’ predispositions, study efforts, cultural factors and approaches towards studying. This study examined the influence of demographic variables, education-related factors, and approaches to studying on occupational therapy students’ Grade Point Average (GPA). Methods Undergraduate occupational therapy students ( n =?712) from four countries completed the Approaches and Study Skills Inventory for Students (ASSIST). Demographic background, education-related factors, and ASSIST scores were used in a hierarchical linear regression analysis to predict the students’ GPA. Results Being older, female and more time engaged in self-study activities were associated with higher GPA among the students. In addition, five ASSIST subscales predicted higher GPA: higher scores on ‘seeking meaning’, ‘achieving’, and ‘lack of purpose’, and lower scores on ‘time management’ and ‘fear of failure’. The full model accounted for 9.6% of the variance related to the occupational therapy students’ GPA. Conclusions To improve academic performance among occupational therapy students, it appears important to increase their personal search for meaning and motivation for achievement, and to reduce their fear of failure. The results should be interpreted with caution due to small effect sizes and a modest amount of variance explained by the regression model, and further research on predictors of academic performance is required.
机译:背景学习成果可能是多种因素的结果,包括学习环境,学生的素养,学习努力,文化因素和学习方法。这项研究调查了人口统计学变量,教育相关因素以及研究方法对职业治疗学生的平均绩点(GPA)的影响。方法来自四个国家的大学生职业治疗学生(n =?712)完成了《学生学习方法和学习技能清单》(ASSIST)。人口统计学背景,与教育有关的因素和ASSIST分数用于分层线性回归分析,以预测学生的GPA。结果年龄较大,女性和更多时间参加自学活动与学生的GPA较高有关。此外,有五个ASSIST分量表预测了GPA较高:“寻求意义”,“成就”和“缺乏目标”的得分较高,而“时间管理”和“害怕失败”的得分较低。完整模型占与职业治疗学生的GPA相关的方差的9.6%。结论为了提高职业治疗专业学生的学习成绩,增加他们个人寻求成就的意义和动力,减少对失败的恐惧似乎很重要。由于效应大小较小且回归模型所解释的变量数量适中,因此应谨慎解释结果,并且需要对学习成绩的预测因素进行进一步研究。

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