Collaborative Research: Characterizing and empowering student success when traversing the academic help landscape

协作研究：在穿越学术帮助景观时描述并赋予学生成功的能力

• 批准号: 2336804
• 负责人: Sarah Heckman
• 金额: $ 37.41万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-05-01 至 2027-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2336804&HistoricalAwards=false
• 关键词: Collaborative; Research; Characterizing; empowering; student

This IUSE Computer Science Level 2 Engaged Student Learning project aims to serve the national interest by studying the complex help resource landscape available to students in computing courses and how students traverse this landscape. Increasing enrollments in computing courses have resulted in a low instructor-to-student ratio, especially for introductory computing courses, which often include non-computing majors who need to learn fundamental computing skills. In large courses, students are more likely to interact with teaching assistants rather than the instructor. Modern computing courses have a high cognitive load and require the students to use various complex tools. To succeed in computing courses, students must be independent, highly self-regulated learners who can navigate multiple help resources. This project will advance the understanding of the help-seeking landscape and how students from different backgrounds seek help in computing courses.The project goals are to 1) characterize the help resource landscape available in computing courses; 2) understand students’ behaviors and usage of help resources; and 3) evaluate an intervention to improve students’ understanding and usage of help resources to empower them with valuable self-regulated learning skills to increase their learning. The project will use a quantitative approach to describe the current help resource landscape in computing courses. Interviews with students will clarify their help-seeking patterns and their perceived learning effectiveness. The project will create best practices for help resources and equitable computing course design, including an intervention to 1) explicitly teach students about the help resource landscape, 2) guide them to identify what help they need, and 3) empower them to consciously utilize the landscape and their self-identified help needs to be more effective in their help-seeking. The NSF IUSE:EDU 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.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.

这项IUSE Computer Science 2级别的学生学习项目旨在通过研究为学生提供计算课程的复杂帮助资源景观以及学生如何穿越这一景观来服务国家利益。计算课程的入学率不断增加，导致教师与学生的比率较低，尤其是用于引入计算课程，这些课程通常包括需要学习基本计算技能的非计算专业的专业。在大型课程中，学生更有可能与助教而不是讲师互动。现代计算课程具有很高的认知负载，并要求学生使用各种复杂的工具。为了成功地计算课程，学生必须是独立的，高度自我调节的学习者，他们可以导航多个帮助资源。该项目将促进对寻求帮助景观的理解，以及来自不同背景的学生如何寻求计算课程的帮助。项目目标是1）表征计算课程中可用的帮助资源景观； 2）了解学生的行为和帮助资源的使用； 3）评估一项干预措施，以提高学生对帮助资源的理解和使用，以增强他们的宝贵自我调节的学习能力，以增强学习能力。该项目将使用定量方法来描述计算课程中当前的帮助资源格局。与学生的访谈将澄清他们的寻求帮助模式及其感知的学习有效性。该项目将创建最佳实践，以帮助资源和公平的计算课程设计，包括对1）干预1）明确向学生提供帮助资源格局的信息，2）指导他们确定他们需要什么帮助，3）授权他们有意识地利用景观和自我确定的帮助，需要更有效地寻求帮助。 NSF IUSE：EDU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，该计划支持了承诺实践和工具的创建，探索和实施。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估审查标准，被认为是珍贵的支持。