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

计算机科学（31）本项目开发了一套完整的学生项目、教程和代码，为选修人工智能课程的本科生提供解决现实问题的实践经验。第二个目标是开发一个开源评估工具，允许学生记录他们的设计决策，记录他们的挑战和解决方案，并反思他们的设计经验。该项目既包括教学材料的开发，以帮助教师使用附带的软件来指导和评估学生的项目，也包括部署和维护一个网站，使其他教师可以使用、修改和扩展这些项目。该项目旨在采用明确的协作方法，尽可能使用开源工具和材料。项目的评估份额可以帮助教师完成评估学生项目有效性的通常困难的任务。它让本科生更好地理解人工智能算法，让他们接触到人工智能技术在现实世界中的应用，并提供解决实际问题的经验。该项目有潜力开发资源，供世界各地的教师在向本科生教授人工智能时使用和共享。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。本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.