A community college blended learning classroom experience through Artificial Intelligence in Games

We report on the experience of teaching an industry-validated course on Artificial Intelligence in Computer Games within the Simulation and Game Design department at a two-year community college during a 16-week semester. The course format used a blended learning just-in-time teaching approach, which included active learning programming exercises and one-on-one student interactions. Moskal's Attitudes Toward Computer Science survey showed a positive and significant increase in students in both interest (W(10) = 25, p = 0.011) and professional (W(10) = 49.5, p = 0.037) constructs. The Felder-Soloman Index of Learning Styles (n = 14) failed to identify any statistically significant differences in learning styles when compared to a four-year CS1 class. In the final class evaluation, 8 out of 13 students (62%) strongly or very strongly preferred the blended learning approach. We validated this course through four semi-structured interviews with game companies. The interview results suggest that companies are strongly favorable to the course content and structure. The results of this work serve as a template that community colleges can adopt for their curriculum.