Collaborative Research: Accessible Computational Thinking in Elementary Science Classes within and across Culturally and Linguistically Diverse Contexts

协作研究：在文化和语言多样化背景下的基础科学课程中的易懂计算思维

• 批准号: 2101526
• 负责人: Diane Ketelhut
• 金额: $ 117.28万
• 依托单位: University of Maryland, College Park
• 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
• 起止时间: 2021-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2101526&HistoricalAwards=false
• 关键词: Collaborative; Research; Accessible; Computational; Thinking

Currently, students who are white, affluent, and identify as male tend to develop a greater interest in and pursuit of science and computing-related careers compared to their Black, Latinx, Native American, and female-identifying peers. Yet, science, computing, and computational thinking drive societal decision-making and problem-solving. The lack of cultural and racial diversity in science and computing-related careers can lead to societal systems and decision-making structures that fail to consider a wide range of perspectives and expertise. Teachers play a critical role in preparing students to develop these skills and succeed in a technological and scientific world. For this reason, it is crucial to investigate how teachers can help culturally and linguistically diverse students develop a greater understanding of and interest in science and computers. This research project aims to enhance elementary teacher education in science and computational thinking pedagogy through the use of Culturally Relevant Teaching, i.e. teaching in ways that are relevant to students from different cultural and linguistic backgrounds The project will support 60 elementary teachers in summer professional development and consistent learning opportunities during the school year to learn about and enact culturally relevant computational thinking into their science instruction. In doing so, the project aims to increase both the quantity and quality of computing experiences for all elementary students and support NSF’s commitment in broadening participation in the STEM workforce. The project will also produce resources, measures, and tools to support elementary teachers to do this kind of work, which will be shared with other STEM researchers and teacher educators.The goal of this research project is to design and promote teaching practices that integrate computational thinking in the elementary science classroom in culturally relevant ways. This project will seek to empower practicing elementary teachers’ approaches to meaningfully and effectively integrate and adapt computational thinking into their regular science teaching practice so that all students can access the curriculum. It will also explore the impact of these approaches on student learning and self-efficacy. The scope of this project will include working with multiple highly distinct school settings in Maryland, Arizona, and Washington DC across three years, reaching approximately 60 elementary teachers and 1,200 students. To achieve the project objectives, the research team will leverage concurrent mixed methods approaches that include teacher and student interviews, reflections, observations, descriptive case study reports as well as regression and multilevel modeling. The project’s findings will inform the fields’ understanding of: (a) teachers’ conceptualization of computational thinking; (b) the barriers elementary teachers encounter when trying to integrate computational thinking with culturally relevant teaching practices; (c) the types of support that are effective in teacher professional development experiences and throughout the school year; and (d) the development of a cohort of teachers that can maintain integration efforts in different districts.The Discovery Research preK-12 program (DRK-12) seeks to significantly enhance the learning and teaching of STEM subjects 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.

目前，学生谁是白色，富裕，并确定为男性往往开发更大的兴趣和追求科学和计算相关的职业相比，他们的黑人，拉丁美洲，美洲原住民，和女性识别同行。然而，科学、计算和计算思维推动着社会决策和问题解决。科学和计算机相关职业缺乏文化和种族多样性可能导致社会系统和决策结构无法考虑广泛的观点和专业知识。教师在培养学生发展这些技能并在技术和科学世界中取得成功方面发挥着关键作用。因此，研究教师如何帮助文化和语言多样的学生更好地理解和兴趣科学和计算机是至关重要的。本研究项目旨在通过使用文化相关教学，该项目将支持60名小学教师在暑期进行专业发展，并在学年期间提供持续的学习机会，以了解和制定与文化相关的计算方法。思考他们的科学教学。在这样做的过程中，该项目旨在提高所有小学生的计算体验的数量和质量，并支持NSF在扩大STEM劳动力参与方面的承诺。本研究项目还将提供资源、措施和工具，以支持小学教师开展这类工作，并与其他STEM研究人员和教师教育工作者共享。本研究项目的目标是设计和推广以文化相关方式将计算思维融入小学科学课堂的教学实践。该项目将寻求授权实践小学教师的方法，有意义和有效地整合和适应计算思维到他们的常规科学教学实践，使所有学生都可以访问的课程。它还将探讨这些方法对学生学习和自我效能的影响。该项目的范围将包括在三年内与马里兰州、亚利桑那州和华盛顿特区的多个高度不同的学校环境合作，覆盖约60名小学教师和1,200名学生。为了实现项目目标，研究团队将利用并行混合方法，包括教师和学生访谈，反思，观察，描述性案例研究报告以及回归和多级建模。该项目的研究结果将使各领域了解：（a）教师对计算思维的概念化;（B）小学教师在试图将计算思维与文化相关的教学实践相结合时遇到的障碍;（c）在教师专业发展经验和整个学年中有效的支持类型;以及（d）培养一批能够在不同地区保持融合努力的教师。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。

项目成果

Accessible Computational Thinking in Elementary Science

基础科学中易于理解的计算思维

• 发表时间: 2022
• 期刊: Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022
• 作者: Bernier, J.;Cabrera, L.;Figueroa, F.;Ha, J.;Kramarczuk, K.;Mak, J.;Su, M.;Xin, Y.;Yan, L.;Ketelhut, D. J.
• 通讯作者: Ketelhut, D. J.

Computational Thinking-Integrated Elementary Science with Culturally Responsive Teaching: A Vignette Study

计算思维——基础科学与文化响应式教学的整合：一项小插曲研究

• DOI: 10.1145/3545947.3576255
• 发表时间: 2022
• 期刊: SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education
• 作者: Xin, Yue;Kramarczuk, Kristina Anna;Mak, Janice;Terrell Shockley, Ebony;Ketelhut, Diane Jass
• 通讯作者: Ketelhut, Diane Jass