论文信息 - Non-traditional projects in the undergraduate AI course

Non-traditional projects in the undergraduate AI course

1. SUMMARY Projects in the Artificial Intelligence course have evolved over the years. Along the way, they have taken several forms, including small-scale LISP/Prolog projects, larger-scale object-oriented projects in CLOS/C++, projects organized around games, and more recently, projects organized around the concept of agents. All along, educators have attempted to make the projects more appealing and instructive at the same time.

[1] Z. Markov,et al. Enhancing undergraduate AI courses through machine learning projects , 2005, Proceedings Frontiers in Education 35th Annual Conference.

[2] Deepak Kumar,et al. Python robotics: an environment for exploring robotics beyond LEGOs , 2003, SIGCSE.

[3] Amruth N. Kumar,et al. Using robots in an undergraduate artificial intelligence course: an experience report , 2001, 31st Annual Frontiers in Education Conference. Impact on Engineering and Science Education. Conference Proceedings (Cat. No.01CH37193).

[4] Holly A. Yanco,et al. The Pyro Toolkit for AI and Robotics , 2006, AI Mag..

[5] Ingrid Russell,et al. Unifying an Introduction to Artificial Intelligence Course through Machine Learning Laboratory Experiences , 2005 .

[6] Holly A. Yanco,et al. Avoiding the Karel-the-Robot Paradox: A framework for making sophisticated robotics accessible , 2004 .

[7] Holly A. Yanco,et al. Pyro: A python-based versatile programming environment for teaching robotics , 2004, JERC.