教师的参与信息能预测学习动机和表现吗?

Elisa Santana-Monagas , David W. Putwain , Juan L. Núñez , Juan F. Loro , Jaime León
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引用次数: 7

摘要

先前的研究表明,教师的信息与许多与学校相关的结果有关,如学生的参与度和表现。然而,教师信息中不同元素的组合与这些结果之间的关系仍然未知。基于信息框架理论和自主决定理论,本研究考察了教师的参与信息与学生学习动机和学习成绩的关系。共有来自63个班级的1209名8至12年级的学生参与了这项研究。参与者完成了教师参与信息和学习动机的自我报告测量。学习成绩是用学生从学校记录中获得的成绩来衡量的。采用多层结构方程模型(ML-SEM)检验变量之间的假设关系。ML SEMs结果证实了我们的假设,并表明教师参与信息通过学习动机间接预测学生的学习成绩。具体而言,自主学习动机形式对绩效有正向预测,而受控学习动机形式与绩效呈负相关。目前的研究结果强调了教师可以依靠的一种资源来激励学生并提高他们的学业成绩。这些结果为未来针对教学实践的教育干预奠定了基础。
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Do teachers’ engaging messages predict motivation to learn and performance?

Previous studies have shown that teacher messages are related with many school-related outcomes, such as students’ engagement and performance. However, it is still unknown how the combination of different elements within teacher messages relate with these outcomes. Based on the message framing theory and the self-determination theory, the present study examined how teachers’ engaging messages link to student’s motivation to learn and academic performance. A total of 1209 students between grades 8 and 12 drawn from 63 classes participated in the study. Participants completed self-report measures of teachers’ engaging messages and motivation to learn. Academic performance was measured using students’ grades obtained from school records. Multilevel structural equation models were performed (ML-SEM) to test the hypothesized relations among variables. ML-SEMs results confirmed our hypothesis and showed that teacher engaging messages indirectly predicted student’s academic performance via motivation to learn. Specifically, the autonomous forms of motivation to learn positively predicted performance and the controlled forms of motivation to learn where negatively related to performance. The present findings highlight a resource teachers can rely on to motivate students and improve their academic outcomes. These results set the basis for future educational interventions targeting teaching practices.

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