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In-service Teachers' Reasoning about Scenarios of Teaching Mathematics to English Language Learners

机译:在职教师对英语学习者进行数学教学情景的推理

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The student population in the U.S. and worldwide is becoming increasingly diverse, creating a need to support all learners, especially linguistically and culturally diverse subpopulations such as English language learners (ELLs). From a social equity standpoint, the need to support these learners is critical especially in mathematics classrooms. In the U.S, the demand for mathematics teachers who are adequately prepared to teach ELLs has in fact risen. Yet, little is known about what knowledge base is essential to teach mathematics to ELLs. Driven by the need to explore this knowledge base, in this paper I explore what is involved in reasoning about teaching mathematics to ELLs. To this end, a set of instructional scenarios illustrating the work of teaching mathematics to ELLs was utilized within an assessment environment. Interviews with 10 mathematics teachers reasoning about the scenarios showed that they drew on the information provided about ELLs’ proficiency levels while reasoning through the scenarios. Also, teachers’ reasoning seems to be qualified by the extent to which they could both use their content knowledge in mathematics and modify their instructional choices according to ELLs’ language needs specified in the scenarios. This study motivates large-scale future studies examining what systematic teacher knowledge base might differentiate good teaching for ELLs from good teaching for all students.
机译:美国和全球范围内的学生人数日益多样化,这就需要支持所有学习者,尤其是在语言和文化上各异的亚人群,例如英语学习者(ELL)。从社会公平的角度来看,支持这些学习者的需求至关重要,尤其是在数学教室中。在美国,对充分准备好教授ELL的数学老师的需求实际上已经增加。然而,对于什么知识基础对ELLs讲授至关重要,人们所知甚少。在探索该知识库的需求的驱使下,在本文中,我将探讨在向ELLs教授数学的推理中涉及的内容。为此,在评估环境中利用了一组说明情景,这些情景说明了向ELL教授数学的工作。在对10个数学老师进行情景推理的访谈中,他们在进行情景推理时借鉴了所提供的有关ELL熟练水平的信息。此外,教师的推理能力似乎符合他们在数学中使用其内容知识并根据情景中指定的ELLs语言需求修改教学选择的程度。这项研究激发了大规模的未来研究,研究哪些系统的教师知识库可以将ELL的良好教学与所有学生的良好教学区分开。

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