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Culturally-responsive teaching for supporting positive computer science identities among Latinx girls

Culturally-responsive teaching for supporting positive computer science identities among Latinx girls
支持拉丁裔女孩积极的计算机科学身份的文化响应式教学
批准号:
2031364
负责人:
Ma Bernadette Salgarino
金额:
$92.45万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-04-01 至 2024-09-30

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中文摘要
翻译
该项目是一个研究实践合作伙伴关系,涉及圣克拉拉县教育办公室,克劳泽创新中心在山麓DeAnza学院,圣何塞州立大学科学学院STEM教育中心,WestEd,和Berryessa联盟,米尔皮塔斯统一,和果园小学区。 它支持四年级和五年级教师采用文化响应式教学,并研究这如何影响拉丁美洲人的身份,因为他们与计算思维(CT)和计算机科学(CS)有关。拉丁裔女学生是目前最不可能从事CS或从事CS相关职业的人群之一。尽管人们普遍认为,早期干预对于让代表性不足的学生参与STEM至关重要,但作为课堂教学的一部分,学生缺乏有效参与CS和CT技能的机会。 该研究的重点是解决这一问题,并在拉丁美洲人中围绕基本的CT技能,特别是与数学相关的算法思维和抽象,发展积极的认同感。该项目的活动是培养教师有效地教授抽象和算法思维,并评估计算机技术实践;为四五年级开展计算机技术活动,这些活动对文化有敏感认识,并促进拉丁美洲人的积极认同;评估这些课程对改善主要为四五年级少数民族青年服务的教室的积极认同和数学成绩的有效性。 总的来说,该项目影响了1400名学生,其中至少有350名拉丁裔学生。该项目的一个中心目标是将文化响应式教学应用于计算思维实践,这将为拉丁裔女孩提供支持STEM积极身份的机会。实现这一目标的第一项活动是利用种族批判理论和其他文化上敏感的教学方法,为四年级和五年级的教育工作者发展专业学习,这些方法采用了多元文化课程设计框架(Sleeter等人,2005年)。该战略是通过修改后的参与-调查模型-应用程序将CT融入数学和其他课程。然后,教师使用这些文化响应的方法来创建与内容的积极身份。教师实践正在评估算法和抽象的CT实践,但特别是在抽象以及数学中的相关思想,以确定是否有一个第三层次的影响,增加数学成绩。一项混合方法研究正在通过观察、收集学生作业数据和态度调查,探讨课程和专业发展的影响。该项目由CS for All:Research and RPPs计划资助。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
This project is a research-practice partnership involving the Santa Clara County Office of Education, Krause Center for Innovation at Foothill DeAnza College, San José State University College of Science Center for STEM Education, WestEd, and the Berryessa Union, Milpitas Unified, and Orchard Elementary School Districts. It is supporting 4th and 5th grade teachers to adopt culturally-responsive teaching and studying how this impacts the identities of Latinas as they relate to computational thinking (CT) and computer science (CS). Female Latina students are one of the populations that presently are among the least likely to engage in CS or to pursue CS-related careers. Although it is widely accepted that early interventions are critical to engage underrepresented students in STEM, there is a dearth of opportunities for students to effectively engage with CS and CT skills as part of their classroom instruction. The study focuses on addressing this and developing among Latinas positive identity around foundational CT skills, particularly algorithmic thinking and abstraction as they relate to mathematics. The project activities are preparing teachers to effectively teach abstraction and algorithmic thinking and assess CT practices; developing CT activities for 4th & 5th grade that are culturally responsive and that promote positive identity among Latinas; and assessing the effectiveness of these curricula towards improving positive identity and math achievement in classrooms serving predominantly minority youth in the 4th and 5th grades. In total, this project is impacting 1400 students and among them, at least 350 Latina students. A central objective of this project is to apply culturally responsive teaching to computational thinking practices that will provide an opportunity to support positive identity in STEM in Latina girls. The first activity in achieving this objective is developing professional learning for 4th and 5th grade educators using Critical Race Theory and other culturally responsive teaching methods that use the Framework for Multicultural Curriculum Design (Sleeter et al., 2005). The strategy is to integrate CT into mathematics and other curricula through a modified Engage-Investigate Model-Apply progression. Teachers then use these culturally responsive methods to create positive identity with the content. Teacher practice is being assessed on the CT Practices of algorithms and abstraction, but specifically on abstraction as well as on related ideas in mathematics to determine if there is a tertiary effect on increasing math scores. A mixed-methods study is exploring the impacts of the curricula and professional development through observations, data collection on student work, and attitudinal surveys. This project is funded by the CS for All: Research and RPPs program.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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