Preparing Elementary Pre-Service Teachers to Integrate Computing across the Curriculum
帮助小学职前教师做好将计算融入整个课程的准备
基本信息
- 批准号:2121417
- 负责人:
- 金额:$ 30万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-10-01 至 2024-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project aims to serve the national interest by developing, implementing, and researching the effectiveness of a program for undergraduate pre-service teachers (PSTs) to integrate computer science learning in elementary education. Many states in the U.S. have required that all public schools offer computer science courses or instruction. However, computer science is currently not offered as an independent course in most U.S. elementary schools. Hence, there is a critical need to integrate computer science into K-6 subject content courses to ensure every student has access to computer science learning. A systematic educational program is necessary for elementary PSTs to learn computer science knowledge and, more importantly, strategies for integrating it into K-6 subjects. However, it is challenging to place such an intensive endeavor into a single course in teacher education programs, so there is a shortage of PSTs who can integrate computer science learning in K-6 subject classes. The Technological Pedagogical Content Computational Thinking (TPC2T) model, a model for the infusion of computational thinking into another subject, will be used. In this Engaged Student Learning Level-1 project, 175 elementary PSTs from 5 cohorts will participate in a series of sessions and student teaching over three semesters to learn and apply computer science across all K-6 subjects. This project will also generate an empirically tested PST educational framework and a computer science integration teaching model for classroom implementation.This project aims 1) to improve PSTs’ interest, self-efficacy, and knowledge of computer science integration in K-6 subjects by the end of their teacher preparation program, and 2) to advance the TPC2T model and make it a comprehensive model for K-6 computer science integrated teaching. To address these goals, the project team will conduct a mixed-method triangulation design research based on Bandura’s self-efficacy theory and Lent, Brown, and Hackett’s social cognitive career theory. The research findings and educational materials will be disseminated via the public project site, conference presentations, peer-reviewed journal publications, in-person and online workshops, and events hosted by NSF-funded centers, such as the STEM Learning and Research Center. This project is expected to benefit society by developing the teacher workforce in computer science K-6 education. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools. The Robert Noyce Teacher Scholarship (Noyce) Program is providing co-funding for this IUSE: EHR project to support the project's pre-service teacher preparation goals, which are well-aligned with Noyce Program goals.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.
该项目旨在通过开发,实施和研究本科生学前教师(PSTS)将计算机科学学习整合到基础教育中的计划来实现国家利益。美国许多州都要求所有公立学校都提供计算机科学课程或说明。但是,目前在大多数美国小学的独立课程中都没有提供计算机科学。因此,将计算机科学集成到K-6主题内容课程中的迫切需要,以确保每个学生都可以访问计算机科学学习。对于基础PST来说,系统的教育计划是学习计算机科学知识的必要条件,更重要的是将其整合到K-6主题中。但是,要在教师教育课程的单一课程中放置这样的重大努力是一个挑战,因此缺乏可以将计算机科学学习整合在K-6主题类中的PST。将使用技术教学内容计算思维(TPC2T)模型,这是一种将计算思维输入另一个主题的模型。在这个敬业的学生学习Level-1项目中,来自5个队列的175个基本PST将参加三个学期的一系列课程和学生教学,以在所有K-6主题中学习和应用计算机科学。该项目还将生成经验测试的PST教育框架和用于课堂实施的计算机科学整合教学模型。该项目的目的1)旨在提高PST的兴趣,自我效能和对K-6计算机科学整合的知识,并在其教师准备程序的结束时以及2)促进TPC2T模型和K-6计算机科学的综合模型。为了解决这些目标,项目团队将根据班杜拉(Bandura)的自我有效理论和借出的布朗(Brown)和哈克特(Hackett)的社会认知职业理论进行混合使用三角测量设计研究。研究发现和教育材料将通过公共项目网站,会议演讲,经过同行评审的期刊出版物,面对面和在线研讨会以及由NSF资助的中心(例如STEM学习与研究中心)主持的活动进行传播。预计该项目将通过发展计算机科学K-6教育中的教师劳动力来使社会受益。 NSF IUSE:EHR计划支持研发项目,以提高所有学生STEM教育的有效性。通过参与的学生学习轨道,该计划支持有希望的实践和工具的创建,探索和实施。罗伯特·诺伊斯(Robert Noyce)教师奖学金(NOYCE)计划正在为这项IUSE:EHR项目提供共同资助,以支持该项目的服务前教师准备目标,该项目与Noyce计划的目标非常吻合。该奖项反映了NSF的法定任务,并通过使用基金会的知识优点和广泛的影响来评估NSF的法定任务,并以评估的支持为宝贵。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Shenghua Zha其他文献
Case-Based Instruction in Different Delivery Contexts: The Impact of Time in Cases.
不同交付环境中的基于案例的教学:时间对案例的影响。
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Kevin A. Koury;Candice C. Hollingsead;G. Fitzgerald;K. Miller;K. Mitchem;Hui;Shenghua Zha - 通讯作者:
Shenghua Zha
Research on factors influencing perceived usefulness of a virtual teacher community: A case study of rural teachers in Inner Mongolia, China
- DOI:
10.1016/j.tele.2016.09.008 - 发表时间:
2017-08-01 - 期刊:
- 影响因子:
- 作者:
Liangjuan Qin;Nan Li;Shenghua Zha;Wu He - 通讯作者:
Wu He
In critical need of research-based instructional strategies and assessment: an investigation of ePCR math lesson plans for middle school students
迫切需要基于研究的教学策略和评估:对中学生 ePCR 数学教案的调查
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:5.1
- 作者:
Yi Jin;Shenghua Zha;J. Cowart - 通讯作者:
J. Cowart
Integrating Team-Based Learning Modules to Improve Civil Engineering Students’ Technical Writing Skills
整合基于团队的学习模块以提高土木工程学生的技术写作技能
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Shenghua Wu;Shenghua Zha;Sue Mattson - 通讯作者:
Sue Mattson
A cross-institutional investigation of a flipped module on preservice teachers’ interest in teaching computational thinking
对职前教师计算思维教学兴趣翻转模块的跨机构调查
- DOI:
10.1080/21532974.2019.1693941 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Shenghua Zha;Yi Jin;P. Moore;Joe P. Gaston - 通讯作者:
Joe P. Gaston
Shenghua Zha的其他文献
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{{ truncateString('Shenghua Zha', 18)}}的其他基金
Collaborative Research: RAPID: Integrating Culturally Relevant Project-based AI Learning into High School STEM Education
合作研究:RAPID:将文化相关的基于项目的人工智能学习融入高中 STEM 教育
- 批准号:
2333098 - 财政年份:2023
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
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