Improving Instruction of Introductory Artificial Intelligence: Papers from the AAAI Fall Symposium
Marti Hearst, Chair
Introductory artificial intelligence is a notoriously difficult course to teach well. The two most straightforward strategies are to either present a smorgasbord of topics or to focus on one or two central approaches. The first option often yields disjointed and superficial results, whereas the second presents an incorrectly biased picture. Often students come away with a feeling that the subject matter is not coherent and that the field has few significant achievements. The goal of the symposium was to provide an opportunity to discuss the difficult questions surrounding the teaching of introductory AI courses, as well as to share successful strategies, problem assignments, instructional programs, and instructional "bloopers."