Collaborative Research: Creating and testing data science learning tools for secondary students with disabilities

合作研究：为残疾中学生创建和测试数据科学学习工具

• 批准号: 2048356
• 负责人: Andreas Stefik
• 金额: $ 63.44万
• 依托单位: University of Nevada Las Vegas
• 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: 2021-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2048356&HistoricalAwards=false
• 关键词: Collaborative; Research; Creating; testing; data

The main goal of this collaborative project is to create and evaluate a universally accessible data science infrastructure for high-school-aged learners, with a focus on students with disabilities. Data science is critical in the development of industry-relevant computational thinking skills. Computing initiatives, including data science, are rapidly growing at the preschool-12th grade level because of the compelling career pathways that data science skills provide. A careful investigation into already-at-scale data science initiatives shows that such tools and curriculum are largely not accessible to individuals with disabilities, nor do they have a strong foundation of human factors evidence supporting their designs. These issues are crucial and must be resolved for workforce equity and a diverse science, technology, engineering, and mathematics (STEM) pipeline. This project will bring together investigators in computer science, mechanical engineering, education, social science, and cognitive neuroscience to rethink the tools that support the teaching and learning of data science at the high school level. The overarching goal will be to create and evaluate data science tools and curriculum that are not just in legal compliance for accessibility, but that carefully take into account the needs of learners, including those with disabilities. This project will involve numerous strategic partnerships including two schools for students with disabilities, the Disabilities, Opportunities, Internetworking, and Technology Center, and an engaged advisory board representing computing accessibility (AccessComputing), data science industry (RStudio), and data science governance (Association for Computing Machinery Data Science Task Force). The rigorous research plan will include iterative, user-focused development, empirical quantitative investigations, qualitative focus groups, and a culminating in-classroom field study, targeting an estimated total of 385 students, 105 teachers, and 30 industry professionals as participants across all studies. By creating, deploying, and rigorously evaluating the first data science tool and curriculum that is accessible to all, the project intends to help create equitable pathways for all students to enter the field of data science. This project is funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.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.

这个合作项目的主要目标是为高中年龄的学习者创建和评估一个普遍可访问的数据科学基础设施，重点是残疾学生。数据科学在开发与行业相关的计算思维技能方面至关重要。由于数据科学技能提供了令人信服的职业道路，包括数据科学在内的计算活动在学龄前-12年级水平迅速增长。对已经在规模上的数据科学倡议进行的仔细调查表明，这些工具和课程在很大程度上是残疾人无法获得的，也没有强有力的人为因素证据来支持他们的设计。这些问题对于劳动力公平和多样化的科学、技术、工程和数学(STEM)渠道至关重要，必须加以解决。这个项目将把计算机科学、机械工程、教育、社会科学和认知神经科学的研究人员聚集在一起，重新思考支持高中数据科学教和学的工具。总体目标将是创建和评价数据科学工具和课程，这些工具和课程不仅符合无障碍访问的法律要求，而且仔细考虑到包括残疾人在内的学习者的需要。该项目将涉及许多战略伙伴关系，包括两所残疾学生学校、残疾、机会、互联网和技术中心，以及一个积极参与的咨询委员会，代表计算可访问性(AccessComputing)、数据科学产业(RStudio)和数据科学治理(计算机械协会数据科学特别工作组)。严格的研究计划将包括迭代的、以用户为中心的开发、实证定量调查、定性焦点小组和最终的课堂实地研究，目标是所有研究的估计总计385名学生、105名教师和30名行业专业人员。通过创建、部署和严格评估第一个对所有人开放的数据科学工具和课程，该项目旨在帮助为所有学生进入数据科学领域创造公平的途径。该项目由学生和教师创新技术体验计划(ITEST)资助，该计划支持建立对实践、计划要素、背景和过程的理解的项目，这些项目有助于提高学生对科学、技术、工程和数学(STEM)以及信息和通信技术(ICT)职业的知识和兴趣。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。