Transforming Introductory Computer Science Instruction with an AI-Driven Classroom Assistant

该项目旨在通过使用人工智能(AI)技术将入门编程课堂转变为活跃、吸引人和支持的学习环境，为不同范围的学生提供服务，从而服务于国家利益。人工智能的进步正在迅速改变人类生活的方方面面，包括教育。合作项目团队计划开发Insight，这是一种人工智能驱动的课堂助手，用于计算机科学入门，为学生和教师提供实时支持。Insight课堂助理通过为学生提供自适应反馈并为教师提供汇总学生编码分析支持，有可能改进计算机科学入门教育。建议的项目有可能帮助教师根据学生对计算机科学概念的理解来动态地调整他们的教学。首先是设计、开发、迭代提炼洞察AI驱动的课堂助手。其次是深入理解学生如何通过人工智能驱动的课堂助理学习计算机科学。第三，为编码丰富的课堂互动设计一套有效的教学支持原则。该项目团队将在大型和小型公立大学以及历史上的黑人学院和大学的广泛计算机科学入门课程中与教师合作。该团队计划评估洞察力对提高学生学习和参与度的影响。该项目的成果将通过讲习班和在计算机科学和工程教育会议上的演讲与从业人员和研究人员分享。NSF IUSE：EHR计划支持研究和开发项目，以提高所有学生的STEM教育的有效性。通过其参与的学生学习跟踪，该计划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，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。

This project aims to serve the national interest by using artificial intelligence (AI) technology to transform introductory programming classrooms into active, engaging, and supportive learning environments for a diverse range of students. Advances in AI are rapidly transforming every aspect of human life, including education. The collaborative project team plans to develop INSIGHT, an AI-driven classroom assistant for introductory computer science that provides real-time support to both students and instructors. The INSIGHT classroom assistant has the potential to improve introductory computer science education by supporting students with adaptive feedback and supporting instructors with aggregate student coding analytics. The proposed project has the potential to help instructors to dynamically adapt their instruction to students' conceptual understanding of computer science concepts.This project has three main objectives. First is to design, develop, and iteratively refine the INSIGHT AI-driven classroom assistant. Second is to develop a deep understanding of how students learn computer science with AI-driven classroom assistants. Third is to design a set of effective instructional support principles for coding-enriched classroom interactions. The project team will collaborate with instructors in a wide range of introductory computer science courses at large and small public universities, and Historically Black Colleges and Universities. The team plans to evaluate the impacts of INSIGHT on improving students’ learning and engagement. Results from the project will be shared with practitioners and researchers through workshops and presentations at conferences on computer science and engineering education. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through its 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.