Stephanie E. August, Ph.D.

Associate Professor
Frank R. Seaver College of Science and Engineering
Loyola Marymount University


Professor August

Department of Electrical Engineering and Computer Science
Loyola Marymount University
1 LMU Drive MS-8145
Los Angeles, CA 90045-2659

Office: Doolan 201b
Office Phone: (310) 338-5973
Office Fax: (310) 338-2782
Email: saugust@lmu.edu


Biography

Dr. August teaches courses in artificial intelligence, database management systems, and software engineering.  Her research interests include cognitive science applications of artificial intelligence including interdisciplinary new media applications, natural language understanding, argumentation, and analogical reasoning. She has several publications in these areas.  Dr. August is a 2006 CASTL Institute Scholar (Carnegie Academy for the Scholarship of Teaching and Learning).  She is currently developing case studies to use in teaching computer science courses in order to increase the interpersonal orientation of the classroom experience.  Her industry experience with the Hughes Aircraft Company (now Raytheon) includes software and system engineering for several defense C3I programs, and applied artificial intelligence research for military and medical applications. 

Education

Exploration

Research

Rather than waiting for students to pursue STEM education, virtual worlds and games can be used to bring science, technology, engineering, and mathematics to the students through engaging and socially oriented activities. One approach to this is to develop a virtual science museum and education center that provides virtual practice with basic engineering concepts and transforms an entertainment-based platform into a delivery vehicle for electrical engineering and computer science content. A second approach is to introduce AI algorithms with scaffolding in the form of a set of structured and graduated laboratory experiments as students play and develop a computer game or explore the creation of automated docents in virtual learning laboratory. Both approaches offer students autonomy and immediate feedback, and are designed to attract women and other diverse audiences to engineering and computer science. The Virtual Engineering Sciences Learning Lab (VESLL) and Teaching AI as a Laboratory Science (TAILS) projects implement these two approaches.

Teaching

Publications