Bonsaksen Tore, Brown Ted, Lim Hua Beng, Fong Kenneth
Department of Occupational Therapy, Prosthetics and Orthotics, Faculty of Health Sciences, Oslo and Akershus University College of Applied Sciences, PO Box 4, St. Olavs Plass, Oslo, 0130, Norway.
Faculty of Health Studies, VID Specialized University, Sandnes, Norway.
BMC Med Educ. 2017 May 2;17(1):76. doi: 10.1186/s12909-017-0914-3.
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).
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.
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.
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.
学习成果可能是多种因素的结果,包括学习环境、学生的倾向、学习努力程度、文化因素以及学习方法。本研究考察了人口统计学变量、教育相关因素和学习方法对职业治疗专业学生平均绩点(GPA)的影响。
来自四个国家的本科职业治疗专业学生(n = 712)完成了学生学习方法和技能量表(ASSIST)。人口统计学背景、教育相关因素和ASSIST分数被用于分层线性回归分析,以预测学生的GPA。
年龄较大、女性以及更多时间参与自学活动与学生较高的GPA相关。此外,ASSIST的五个分量表预测了较高的GPA:“寻求意义”“取得成就”和“缺乏目标”得分较高,“时间管理”和“害怕失败”得分较低。完整模型解释了与职业治疗专业学生GPA相关的9.6%的方差。
为提高职业治疗专业学生的学业成绩,增加他们对意义的个人探索和成就动机,并减少他们对失败的恐惧似乎很重要。由于效应量较小且回归模型解释的方差量适中,对这些结果的解释应谨慎,并且需要对学业成绩的预测因素进行进一步研究。