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: 2336805
• 负责人: Kristin Stephens-Martinez
• 金额: $ 32.5万
• 依托单位: Duke 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=2336805&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.

这个 IUSE 计算机科学 2 级学生参与学习项目旨在通过研究计算机课程中学生可用的复杂帮助资源环境以及学生如何遍历这一环境来服务于国家利益。学生比例，特别是入门计算机课程，通常包括需要学习基本计算技能的非计算机专业的学生，​​在大型课程中，学生更有可能与助教而不是教师进行互动。现代计算机课程的认知负荷很高。并要求为了在计算机课程中取得成功，学生必须是独立的、高度自我调节的学习者，能够浏览多种帮助资源，该项目将加深对寻求帮助的情况以及来自不同背景的学生如何寻求帮助的理解。项目目标是 1) 描述计算机课程中可用的帮助资源格局；2) 了解学生的行为和帮助资源的使用情况；3) 评估干预措施，以提高学生对帮助资源的理解和使用。赋予他们宝贵的自我调节学习技能，以提高他们的能力该项目将使用定量方法来描述计算机课程中当前的帮助资源状况。对学生的访谈将阐明他们的寻求帮助模式和他们感知的学习有效性。该项目将为帮助资源和公平的计算机课程设计创建最佳实践。 ，包括干预措施：1）明确地向学生传授帮助资源景观，2）引导他们确定他们需要什么帮助，以及3）使他们能够有意识地利用景观和他们自我识别的帮助需要更有效地利用他们的帮助资源。寻求帮助。 IUSE:EDU 计划支持研究和开发项目，以提高所有学生 STEM 教育的有效性。该计划通过参与学生学习轨道，支持有前途的实践和工具的创建、探索和实施。该奖项反映了 NSF 的法定使命和目标。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，该项目被认为值得支持。