Broadening Participation Research Project: Visualizing Computational Solutions to Improve Computational Thinking in Science Courses

扩大参与研究项目：可视化计算解决方案以提高科学课程中的计算思维

• 批准号: 2107104
• 负责人: Derrick Hylton
• 金额: $ 33.92万
• 依托单位: Spelman College
• 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: 2021-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2107104&HistoricalAwards=false
• 关键词: Broadening; Participation; Research; Project; Visualizing

The Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) through Broadening Participation Research (BPR) in STEM Education projects supports the development, implementation, and study of new theory-driven models and innovations related to the participation and success of underrepresented groups in STEM undergraduate education. It is expected that the award will further the faculty member's research capability, as well as improve the recruitment, retention, and success of underrepresented groups in STEM education and the workforce. The project at Spelman College seeks to investigate the extent to which the visual representations in iFLOW (a block-based programming tool) can reduce barriers for underrepresented groups to computational thinking relative to traditional text-based programming. Specifically, the proposal outlines efforts to develop and implement innovative curriculum materials that support students in physics and chemistry courses to visualize computational solutions to science problems, as well as identify the needed computational thinking skills and attitudes for computationally focused careers. Computational thinking is the practice or thought process of applying fundamental computer science concepts to solve problems. The main goal of this project is to create a systematic approach to the development of computational thinking and skills for students taking undergraduate courses in physics and chemistry. The project intends to define the attributes and outcomes for these courses, to identify student barriers to the integration of computations in these courses, and to develop intervention strategies to overcome these barriers, as well as to propose a pathway to the development of computational thinking and skills in the physics and chemistry undergraduate curriculum. The project will test the suitability of block-based programming in overcoming certain barriers in the progression towards text-based programming, as well as formulate appropriate assessment for computational thinking in physics and chemistry courses. The project aims to determine and utilize intervention methods that are scaffolded throughout the academic curricula to enhance computational thinking skills in Spelman students and overcome common barriers to self-efficacy in data-driven fields.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.

通过扩大参与研究（BPR）在STEM教育项目中的历史黑人学院和大学本科生计划（HBCU-UP）支持开发，实施和研究与STEM本科教育中代表性不足的群体的参与和成功相关的新理论驱动的模型和创新。预计该奖项将进一步提高教师的研究能力，并改善STEM教育和劳动力中代表性不足的群体的招聘，保留和成功。Spelman学院的项目旨在调查iFLOW（一种基于块的编程工具）中的视觉表示在多大程度上可以减少代表性不足的群体相对于传统的基于文本的编程的计算思维的障碍。 具体而言，该提案概述了开发和实施创新课程材料的努力，这些材料支持物理和化学课程的学生将科学问题的计算解决方案可视化，并确定以计算为重点的职业所需的计算思维技能和态度。计算思维是应用基本计算机科学概念来解决问题的实践或思维过程。该项目的主要目标是为参加物理和化学本科课程的学生创建一个系统的方法来发展计算思维和技能。该项目旨在定义这些课程的属性和成果，以确定学生在这些课程中整合计算的障碍，并制定干预策略来克服这些障碍，以及提出一条发展物理和化学本科课程中计算思维和技能的途径。该项目将测试基于块的编程在克服基于文本的编程进展中的某些障碍方面的适用性，并为物理和化学课程中的计算思维制定适当的评估。 该项目旨在确定和利用贯穿整个学术课程的干预方法，以提高斯佩尔曼学生的计算思维能力，并克服数据驱动领域自我效能的常见障碍。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。