预测Žilina大学一年级理工科学生的学习成功:探索测量新生学习和学习策略的附加价值

M. Pinxten, Peter Hockicko
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引用次数: 2

摘要

从中等教育到大学教育的过渡是许多学生教育生涯中的关键时刻。在本文中,我们将研究在Žilina大学入学的理工科学生的特点如何影响他们第一学期的学习成绩。更具体地说,我们将研究如何根据学生在中学的教育背景(例如,先前的数学成绩,中学类型)以及他们在中学的学习和学习行为来预测第一学期后的学习成功。为了回答这个问题,我们对来自Žilina大学不同专业(土木工程、电气工程、安全工程和科学)的814名学生进行了一份广泛的问卷调查。我们的研究结果表明,许多变量解释了学生的学习成绩(GPA和获得的学分)。学生的中学数学成绩和就读学校类型与学生第一学期后的GPA和学分都有显著的关系。从中学进入大学的数学成绩较好的学生通常比数学成绩较低或从其他学校进入大学的同龄人表现得更好。除了动机、时间管理和考试策略量表外,我们没有观察到学生的学习和学习策略对他们的GPA和学分的影响。测量问题和未来可能的研究方向将进行深入的讨论。
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Predicting study success of first-year science and engineering students at the university of Žilina: An exploration of the added value of measuring incoming students' learning and study strategies
The transition from secondary education to university is a pivotal moment in many students' educational career. In this paper we will examine how characteristics of incoming science and engineering students influence their study results in the first semester at the University of Žilina. More specifically, we will investigate how we can predict study success after the first semester on the basis of students' educational background in secondary school (e.g., prior math grades, type of secondary school) on the one hand and their learning and study behavior in secondary school on the other. In order to answer this question, an extensive questionnaire was administered to a sample of 814 students from different study programs (Civil Engineering, Electrical Engineering, Security Engineering, and Sciences) at the University of Žilina. Our results show that a number of variables explain students study results (GPA & credits obtained). Students' math grades in secondary school and the type of school attended both have a significant relation with students' GPA and credits earned after the first semester. Students with better math grades who enter university from Gymnasium generally perform better than their peers with lower math grades or from another school type. Except for the motivation, time management and test strategies scales, we did not observe effects of students' learning and study strategies on their GPA and credits earned. Measurement issues and possible directions for future research will be thoroughly discussed.
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