Preparing mentors to support novices in eliciting student thinking during mathematics discussions: Developing and testing a simulation-based PD program
Preparing mentors to support novices in eliciting student thinking during mathematics discussions: Developing and testing a simulation-based PD program
批准号:
2200915
负责人:
Julie Cohen
金额:
$276.9万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-07-15 至 2026-06-30
中文摘要
每年有近200,000名候选人从教师准备计划中毕业,导师教师在教师候选人的准备中发挥着至关重要的作用,因为他们比任何其他教师教育工作者花费更多的时间与候选人接触。对教师候选人的有效指导可以帮助弥合当今小学数学课堂以教师为中心的实践与培养好奇和有能力的STEM学生所需的以学生为中心的实践之间的差距。然而,导师在如何支持候选人发展方面几乎没有得到任何支持。该项目旨在支持指导教师更好地为候选人在自己的教学中建立有效的数学教学实践模型,并为候选人提供关于这些实践的可操作反馈,因为他们学习教小学数学。该项目为以下两类导师提供支持:(1)在雄心勃勃的数学教学中受益于额外支持的师范学习者;(2)在认识候选人的优势和成长领域以及提供有用反馈方面需要支持的师范教育者。该项目将设计和研究一个在线,便携式导师教师专业发展(PD)计划,目标导师的教学和反馈技能在小学数学。设计在线模块将支持大规模的工作方式,在人PD不能。此外,该项目将确定导致PD差异吸收的因素。更广泛地说,该项目的目的是:(1)通过提供关于如何帮助导师支持教师候选人学习的新知识,促进教育工作者的发展;(2)扩大历史上被边缘化和少数民族化的青年对数学的参与,他们比同龄人更有可能接受一年级教师的教育;以及(3)通过制作可大规模使用和研究的PD材料和措施,加强研究和教育的基础设施。本项目旨在通过培养能更好地培养下一代教师。教学模拟被用作专业学习设计的基石,为导师提供低风险的实践空间,以实践和模拟有效的小学数学教学。发展课程的重点是启发学生的思考,这是发挥学生数学资源和思想的基本教学实践。专业学习也集中在导师的技能,给候选人的可操作的反馈,他们在数学中的学生思维的启发。本研究采用混合方法,随机对照试验设计,其中150对导师候选人被随机分配到PD或对照(照常营业)条件。在模拟和现场课堂互动中观察导师和候选人,以回答以下问题:(1)导师PD是否影响导师的教学和反馈技能,以及候选人的教学技能?(2)在模拟和现场课堂环境中,导师的教学和反馈技能有何相似之处?(3)导师给候选人的反馈的性质是什么?PD组和对照组的反馈在一年中是否有差异?很少有研究使用实验设计来估计教师教育改革对候选人(或导师)结果的合理因果关系。本研究将为基于实践的准备对导师和考生的小学数学教学发展的影响提供急需的因果证据。发现研究preK-12计划(DRK-12)旨在通过研究和开发创新资源,模型和工具。DRK-12项目中的项目建立在STEM教育的基础研究以及为拟议项目提供理论和经验依据的先前研究和开发工作的基础上。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Nearly 200,000 candidates graduate from teacher preparation programs each year, and mentor teachers have a crucial role in the preparation of teacher candidates as they spend far more time engaging with candidates than any other teacher educator. Effective mentoring of teacher candidates can help to bridge the gap between the teacher-centered practices of today’s elementary mathematics classrooms and the student-centered practices that are needed to grow curious and competent STEM students. And yet, mentors receive little to no support about how support candidate development. This project aims to support mentor teachers in better modeling the effective mathematics teaching practices for candidates in their own teach and providing candidates with actionable feedback on those practices as they learn to teach elementary mathematics. The project supports mentors as both: (1) teacher learners who benefit from additional support in ambitious teaching in mathematics; and (2) teacher educators who need support in recognizing candidates’ strengths and areas for growth, as well as in giving useful feedback. The project will design and study an online, portable mentor teacher professional development (PD) program that target mentors’ teaching and feedback skills in elementary mathematics. Designing online modules will support large-scale work in ways that in-person PD cannot. Additionally, the project will identify factors that contribute to the differential uptake of the PD. More broadly, this project aims to (1) promote educator development by generating new knowledge about how to help mentors support teacher candidate learning; (2) broaden participation in mathematics by historically marginalized and minoritized youth, who are far more likely than their peers to be taught by a first year teacher; and (3) enhance infrastructure for research and education by generating PD materials and measures that can be used and studied at scale.This project aims to enhance the quality of elementary mathematics teaching by developing mentors who can better support the next generation of teacher candidates. Teaching simulations are used as a cornerstone of the design of the professional learning, providing a low-stakes practice space for mentors to practice and model effective elementary mathematics teaching. The PD will focus on eliciting students’ thinking, a teaching practice that is fundamental to leveraging students’ mathematical resources and ideas. The professional learning also focused on mentors’ skills in giving candidates actionable feedback on their elicitation of student thinking in mathematics. This study uses a mixed-methods, randomized control trial design in which 150 mentor-candidate pairs are randomly assigned to either PD or control (business-as-usual) conditions. Mentors and candidates are observed in both simulations and live classroom interactions to answer the following questions: (1) Does the mentor PD impact mentors’ teaching and feedback skills, as well as candidates’ teaching skills? (2) How are mentors’ teaching and feedback skills similar in simulated and live classroom settings? And (3) What is the nature of the feedback that mentors give candidates? Are there differences between the feedback of PD and control groups across the year? Very few studies have used experimental designs to estimate credibly causal effects of teacher education reforms on candidate (or mentor) outcomes. This study will provide much-needed causal evidence for the effects of practice-based preparation on the development of both mentors’ and candidates’ teaching in elementary mathematics.The Discovery Research preK-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools. Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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Collaborative Research: Leveraging Simulations in Preservice Preparation to Improve Mathematics Teaching for Students with Disabilities
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批准号:2009939
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项目类别:Continuing Grant
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资助金额:$134.54万
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财政年份:2020
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负责人:Julie Cohen
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依托单位:
海外基金