影响临床预科学生学业成绩的因素

Yanint Raksadawan, Chantacha Sitticharoon, N. Charoenngam, Pailin Maikaew, Issarawan Keadkraichaiwat
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引用次数: 1

摘要

学业成绩是临床预科学生主要关心的问题。本研究旨在确定影响临床前几年学业成绩的因素。对2019班临床预科一年级(2019/1)、二年级(2019/2)和2018班临床预科二年级(2018/2)的所有学生进行无抽样调查,问卷回收率分别为85.11%(280/328)、86.32%(284/328)和83.54%(274/328)。学生们根据他们的GPA四分位数分为Q1(最低)-Q2-Q3-Q4(最高)。Q4学生在2018/2和2019/2两个班中,各班的考试期望值和学习目标达成率均较高,使用非录课学习的时间也较多;但2019/1班的在线学习时间较短,2019/2和2018/2班的非学术性互联网使用时间较短。相比之下,Q1学生在2019/2和2018/2班的迟到和缺勤率较高,但2018/2班的幸福指数低于其他组。2019/2班肥胖和超重学生的GPA显著低于正常体重和体重不足学生(p均<0.05)。当年GPA与前一年GPA、考试期望、学习目标达成情况、非录影课学习时间呈显著正相关;但与电子讲座学习时间、非学术性互联网使用时间、迟到和缺勤时间、BMI呈显著负相关(p均<0.05)。综上所述,在时间管理、学习策略、情绪控制、动机和自我效能感等自我调节学习方面具有更多自我调节策略的学生学业成绩更好。
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Factors Influencing Academic Achievement in Preclinical Students
Academic achievement is a major concern of preclinical students. This study aimed to determine factors influencing academic achievement in preclinical years. Questionnaires were sent to all students of the 2019 class at the 1st (2019/1) and 2nd preclinical years (2019/2) and the 2018 class at the 2nd preclinical year (2018/2) without sampling, with 85.11% (280/328), 86.32% (284/328), and 83.54% (274/328) being returned, respectively. Students were divided into Q1 (lowest)-Q2-Q3-Q4 (highest) according to quartiles of their GPA. Q4 students had higher examination expectation and achievement of study targets in all classes and more time spent on non-recorded-e-lecture study in the 2018/2 and 2019/2 classes; but lower time spent on recorded-e-lecture study in the 2019/1 class and non-academic-internet use in the 2019/2 and 2018/2 classes than other groups. In contrast, Q1 students had higher instances of lateness and absence/year in the 2019/2 and 2018/2 classes but lower happiness scores in the 2018/2 class compared to other groups. Obese and overweight students had significantly lower GPA than normal weight and underweight students of the 2019/2 class (p<0.05 all). The current year GPA had significant positive correlations with the previous year GPA, examination expectation, achievement of study targets, and time spent on non-recorded-e-lecture study; but had significant negative correlations with time spent on recorded-e-lecture study and non-academic internet use, instances of lateness and absence/year, and BMI (p<0.05 all). In conclusion, students with more self-regulation strategies in many aspects of self-regulated learning, including time management, learning strategies, emotion control, motivation, and self-efficacy, had better academic outcomes.
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