Assessing College-Ready Computational Thinking

评估大学就绪计算思维

• 批准号: 2010314
• 负责人: Mark Wilson
• 金额: $ 239.77万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2010314&HistoricalAwards=false
• 关键词: Assessing; College; Ready; Computational; Thinking

Because of the growing need for students to be college and career ready, high-quality assessments of college readiness skills are in high demand. To realize the goal of preparing students for college and careers, assessments must measure important competencies and provide rapid feedback to teachers. It is necessary to go beyond the limits of multiple-choice testing and foster the skills and thinking that lie at the core of college and career ready skills, such as computational thinking. Computational thinking is a set of valuable skills that can be used to solve problems, design systems, and understand human behavior, and is thus essential to developing a more STEM-literate public. Computational thinking is increasingly seen as a fundamental analytical skill that everyone, not just computer scientists, can use. The goal of this project is to develop learning progressions and assessment items targeting computational thinking. The items will be used for a test of college-ready critical reasoning skills and will be integrated into an existing online assessment system, the Berkeley Assessment System Software.The project will address a set of research questions focused on 1) clarifying computational thinking constructs, 2) usability, reliability of validity of assessment items and the information they provide, 3) teachers' use of assessments, and 4) relationships to student performance. The study sample of 2,700 used for the pilot and field tests will include all levels of students in 10th through 12th grade and first year college students (both community college and university level). The target population is students in schools which are implementing the College Readiness Program (CRP) of the National Mathematics and Science Institute. In the 2020-21 academic year 54 high schools across 11 states (CA, GA, FL, ID, LA, NC, NM, OH, TX, VA, and WA) will participate. This will include high school students in Advanced Placement classes as well as non-Advanced Placement classes. The team will use the BEAR Assessment System to develop and refine assessment materials. This system is an integrated approach to developing assessments that seeks to provide meaningful interpretations of student work relative to cognitive and developmental goals. The researchers will gather empirical evidence to develop and improve the assessment materials, and then gather reliability and validity evidence to support their use. In total, item response data will be collected from several thousand students. Student response data will be analyzed using multidimensional item response theory models.The Discovery Research preK-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) 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.

由于学生需要做好大学和职业准备，因此对大学准备技能的高质量评估的需求很高。要实现为学生做好大学和职业准备的目标，评估必须衡量重要能力并为教师提供快速的反馈。有必要超越多项选择测试的限制，并培养在大学和职业现成技能（例如计算思维）的核心技能和思维中。计算思维是一组有价值的技能，可用于解决问题，设计系统和理解人类行为，因此对于开发更具词干的公众至关重要。计算思维越来越被视为每个人，不仅是计算机科学家都可以使用的基本分析技能。该项目的目的是开发针对计算思维的学习进度和评估项目。这些项目将用于测试大学就绪的关键推理技能，并将集成到现有的在线评估系统中，伯克利评估系统软件。该项目将解决一系列研究问题，重点是1）澄清计算思维构建体，2）2）评估项目的可用性，评估项目的可靠性以及他们提供的信息，3）教师对评估的使用；用于试点和现场测试的2,700份的研究样本将包括10至12年级和一年级的大学生（社区大学和大学级）的所有级别的学生。目标人群是正在实施国家数学和科学研究所大学准备计划（CRP）的学校的学生。在2020-21学年中，将有11个州的54所高中（CA，GA，FL，ID，LA，NC，NM，OH，OH，TX，VA和WA）将参加。这将包括高中生的高级学生以及非先进的安置课程。 团队将使用熊评估系统开发和完善评估材料。该系统是一种综合方法，用于开发评估，旨在提供有关学生工作相对于认知和发展目标的有意义的解释。研究人员将收集经验证据以开发和改善评估材料，然后收集可靠性和有效性证据以支持其使用。总共将从数千名学生那里收集项目响应数据。学生响应数据将使用多维项目响应理论模型进行分析。《发现研究PREK-12计划》（DRK-12）旨在通过PreK-12学生和教师通过创新资源，模型和工具的研究和开发来显着增强科学，技术，工程和数学（STEM）的学习和教学。 DRK-12计划中的项目基于STEM教育和先前的研发工作的基础研究，为拟议项目提供了理论和经验的理由。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的审查标准通过评估来进行评估的。