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MOTIVATION AND SELF-EFFICACY RELATED TO PROBABILITY AND STATISTICS: TASK-SPECIFIC MOTIVATION AND PROFICIENCY

机译:与概率和统计相关的动机和自我效能:特定的专用动机和熟练程度

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Motivational characteristics of learners have shown to be more predictive for proficiency when they are measured for a specific content domain. For proficiency in the area of probability and statistics, there is still a need for research on the role of motivational variables. In particular, taskspecific motivation and interest might contribute to our understanding of the impact of motivational dispositions on the use of learning opportunities. Accordingly, this paper presents empirical results in this area, which are part of the research project RIKO-STAT. We concentrate on the data of 350 prospective teachers, who were asked about content domain-specific and taskspecific motivation and self-efficacy and about solutions to given tasks which were parallelised with the motivation questionnaire. The results suggest interdependencies between task-specific motivation and the proficiency of solving the tasks.
机译:学习者的动机特征表明,当对特定内容域进行测量时,更熟练的熟练程度更加预测。为了熟练地在概率和统计领域,仍然需要研究动机变量的作用。特别是,任务的动机和兴趣可能有助于我们对激励性倾向对学习机会的影响的理解。因此,本文介绍了该地区的经验结果,这些领域是研究项目Riko-Stat的一部分。我们专注于350名前瞻性教师的数据,被问及内容域的特定和任务的动机以及自我效能,以及对具有激活激励问卷的特定任务的解决方案。结果表明了任务特定动机与解决任务的熟练程度之间的相互依赖性。

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