Hoth Jessica, Larrain Macarena, Kaiser Gabriele
Institute of Mathematics and Computer Science Education, Faculty of Computer Science and Mathematics, Goethe University Frankfurt, Frankfurt, Germany.
Institute of Mathematics Education, Freiburg University of Education, Freiburg, Germany.
Front Psychol. 2022 Dec 15;13:1057730. doi: 10.3389/fpsyg.2022.1057730. eCollection 2022.
Mathematics classrooms are typically characterized by considerable heterogeneity with respect to students' knowledge and skills. Mathematics teachers need to be highly attentive to students' thinking, learning difficulties, and any misconceptions that they may develop. Identification of potential errors and appropriate ways to approach them is crucial for attaining positive learning outcomes. This paper explores which knowledge and affective-motivational skills teachers most require to effectively identify and approach students' errors.
To address this research question within the German follow-up study of the Teacher Education and Development Study in Mathematics (TEDS-M), 131 primary school mathematics teachers' ability to identify students' errors was assessed based on (a) a digitalized speed test showing different students' solutions in a written notation and (b) three video vignettes that showed different scenes from mathematics classes. These scenes dealt, among other things, with children who struggled with the lesson's mathematical content. Teachers were asked to analyze students' thinking and to determine how best to react. In addition, teachers' mathematics pedagogical content knowledge, mathematical content knowledge, and beliefs were assessed in separate tests and served as predictors for teachers' abilities to identify, analyze, and deal with students' errors.
The results indicate that all components are interrelated. However, path analysis reveals that teachers' ability to deal with students' errors is mainly predicted by their constructivist beliefs while their ability to quickly identify typical students' errors is largely dependent on their mathematics content knowledge.
The results show the central filtering function of beliefs. Teachers who believe that students must shape and create their own learning processes are more successful in perceiving and analyzing student errors in classroom situations. They may understand errors as learning opportunities and - thus - pay specific attention to these occurrences.
数学课堂的典型特征是学生在知识和技能方面存在很大差异。数学教师需要高度关注学生的思维、学习困难以及他们可能形成的任何误解。识别潜在错误以及处理这些错误的适当方法对于取得积极的学习成果至关重要。本文探讨了教师最需要哪些知识和情感动机技能来有效地识别和处理学生的错误。
为了在德国对数学教师教育与发展研究(TEDS-M)的后续研究中解决这个研究问题,基于以下两点评估了131名小学数学教师识别学生错误的能力:(a)一项数字化速度测试,该测试以书面形式展示不同学生的解题过程;(b)三个视频片段,展示数学课的不同场景。这些场景尤其涉及在课程数学内容上遇到困难的儿童。要求教师分析学生的思维并确定最佳反应方式。此外,通过单独测试评估了教师的数学教学内容知识、数学内容知识和信念,并将其作为教师识别、分析和处理学生错误能力的预测指标。
结果表明所有这些因素都是相互关联的。然而,路径分析显示,教师处理学生错误的能力主要由他们的建构主义信念预测,而他们快速识别典型学生错误的能力在很大程度上取决于他们的数学内容知识。
结果显示了信念的核心过滤作用。那些认为学生必须塑造和创造自己学习过程的教师,在课堂情境中感知和分析学生错误方面更成功。他们可能将错误理解为学习机会,因此会特别关注这些情况。