Computer Science Teacher Professional Development Passport Alliance
Computer Science Teacher Professional Development Passport Alliance
批准号:
2327863
负责人:
Jake Baskin
金额:
$238.88万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-10-01 至 2026-09-30
中文摘要
计算机科学教师协会(CSTA)将与CSEdResearch.org和美国研究所(AIR)合作,建立一个联盟,跟踪参与pre -12计算机科学(CS)教师专业发展(PD)的经验。为了让学生准备好学习在现代社会中茁壮成长所需的CS技能和能力,支持具有PD经验的PK-12 CS教师至关重要。在整个计算机科学教育研究项目中,缺乏对个体计算机科学教师的参与和结果的一致跟踪。由三家领先的计算机科学教育机构组成的联盟将开发一个计算机科学PD护照系统来解决这一重大基础设施挑战,使我们能够更准确地回答诸如“有多少独特的PK-12教师从事了nsf资助的计算机科学PD机会?”和“从事计算机科学nsf资助的PD机会的PK-12教师的人口统计数据是什么?”教师将受益于有一个共同的地方来记录验证参与CS PD,这可以用来证明完成PD以获得继续教育学分,为未来的雇主突出技能,并解锁更多高级PD机会。PD提供者将受益于简化的报告和更好的目标招募参与者,特别是在寻求与教授CS历史上边缘化的教师合作时。最终,该联盟的目标是使PD护照的广泛采用导致各州教育部门和学区使用该平台实施新的教师认证途径和持续专业发展学分要求。在三年的时间里,该项目将实现三个主要目标:(1)为美国国家科学基金会资助的计算机科学教育研究项目开发和试点一个系统,以报告他们的PD特征、参与教师的人口统计数据以及通过研究和评估确定的其他数据;(2)创建一个PD护照系统,使PK-12 CS教师可以将其作为专业档案的一部分;(3)确定并支持在助学金期满后维持PD护照所需的条件。该联盟旨在开发一个教师、PD提供者和NSF认为有用、可用、可查找、有价值、可访问和可信的系统。研究将利用用户设计框架来定义与数据隐私相关的用户考虑和功能需求、挑战和影响,以及与用户建立信任。形成性和总结性评估将包括半结构化的焦点小组和可用性测试,由教师和nsf资助项目的CS PD提供者进行测试,现有数据分析,以及由CS教育和研究评估方法专家组成的咨询委员会。该奖项反映了美国国家科学基金会的法定使命,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
The Computer Science Teachers Association (CSTA) in collaboration with CSEdResearch.org and the American Institutes for Research (AIR) will develop an alliance to track participation in PreK-12 Computer Science (CS) teacher Professional Development (PD) experiences. To prepare students to learn CS skills and competencies needed to thrive in modern society, it is critical to support PK-12 CS teachers with PD experiences. There has been a lack of consistent tracking of participation and outcomes for individual CS teachers across CS education research projects. An alliance of three leading CS education organizations will develop a CS PD Passport system to address this major infrastructure challenge, allowing us to more accurately answer questions like “How many unique PK-12 teachers have engaged in NSF-funded computer science PD opportunities?” and “What are the demographics of PK-12 teachers who have engaged in computer science NSF-funded PD opportunities?” Teachers will benefit from having a common place for record for validated participation in CS PD, which can be used to prove completion of PD for continuing education credits, highlight skills for future employers, and unlock access to more advance PD opportunities. PD providers will benefit from simplified reporting and better target recruitment of participants, especially when seeking to work with teachers who teach historically marginalized in CS. Ultimately, the Alliance aims for a world where widespread adoption of the PD Passport leads to state departments of education and school districts using this platform to implement new teacher certification pathways and continuing professional development credit requirements.Over three years, the project will fulfill three primary goals: (1) develop and pilot a system for NSF-funded CS education research projects to report their PD characteristics, participating teacher demographics, and other data identified through research and evaluation; (2) create a PD passport system that PK-12 CS teachers can use as part of their professional portfolio; and (3) identify and support the conditions necessary for sustaining the PD Passport beyond the life of the grant. The Alliance aims to develop a system that teachers, PD providers, and NSF find useful, usable, findable, valuable, accessible, and credible. Research will utilize a user design framework to define user considerations and functional requirements, challenges and implications related to data privacy, and building trust with users. Formative and summative evaluation will involve semi-structured focus groups and usability testing with both teachers and CS PD providers from NSF-funded projects, extant data analyses, and an advisory board of CS education and research evaluation methodology experts.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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