Teaching Artificial Intelligence as a Laboratory Science

August, Stephanie E.
CCLI: Enhancing Expertise, Sociability and Literacy through Teaching Artificial Intelligence as a Lab Science. NSF Grant no.0942454, 2010.

The Teaching Artificial Intelligence as a Lab Science (TAILS) project at Loyola Marymount University is developing a new paradigm for teaching artificial intelligence (AI) concepts. We plan to use an experimental approach modeled after the laboratory sciences. We are exploring whether structured labs with exercises that can be completed before students leave the classroom can build the sense of accomplishment, confidence, community, and collaboration among students, characteristics which have been shown to be critical to retain women and non-traditional computer science students in the field. Each learning module will include background on the concept, design of the code, running examples of the concept, and practical applications. Students working in pairs or small groups will run and observe existing software applications, and make progressively more challenging modifications to the software following a set guided exercises structured for completion within the lab period. Solutions will be provided against which students can compare their results.

Abstract submitted to 2012 American Society for Engineering Education NSF awardees poster session
Consortium for Computing Sciences in Colleges 2008 Southwest Regional Conference Poster

This material is based upon work supported by the National Science Foundation under Grant No. 0942454. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).