Transforming AI Education Through Real-World Programming Projects and Structured Journaling and Reflection

计算机科学（31）这个项目开发了一套完整的学生项目，教程和代码，为本科生提供了解决现实世界问题的实践经验。第二个目标是开发一个开源的评估工具，让学生记录他们的设计决策，记录他们的挑战和解决方案，并反映他们的设计经验。该项目包括开发教学材料，帮助教师使用附带的软件进行和评估学生项目，以及部署和维护一个网站，允许其他教师使用，修改和扩展项目，该项目旨在采取明确的合作方式，尽可能使用开源工具和材料。项目的评估部分帮助教师完成通常很困难的任务，即评估学生项目的有效性。它为本科生提供了对AI算法的更好理解，让他们接触到AI技术在现实世界中的应用，并提供解决实际问题的经验。该项目有潜力开发可供全球教师在向本科生教授AI时使用和共享的资源。这项工作有助于各种教育机构的人工智能课程的教学和评估。在这个项目中描述的实验室都可以作为学生本科研究的起点。

Computer Science (31) This project develops an integrated set of student projects, tutorials and code which provide undergraduate students taking an AI course with practical experience in solving real-world problems. The second goal is the development of an open-source assessment tool that allows students to journal about their design decisions, record their challenges and solutions, and reflects on their design experience. The project includes both the development of instructional material to help teachers use the accompanying software to conduct and evaluate student projects and also the deployment and maintenance of a website which allows other instructors to use, modify and extend the projects.The project is meant to have an explicitly collaborative approach, using open-source tools and materials wherever possible. The assessment share of the project helps teachers with the usually difficult task of evaluating the effectiveness of a student project. It provides undergraduate students with a better understanding of AI algorithms, gives them exposure to the application of AI techniques in real-world settings, and provides experience in solving practical problems. The project has a potential to develop resources that can be used and shared by instructors worldwide in teaching AI to undergraduate students. This work assists with both teaching and assessment of AI courses at a variety of educational institutions. The labs described in this project can all serve as starting points for student undergraduate research.