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


Dr. August teaches courses in artificial intelligence, database management systems, software engineering and introductory programming with Python and Snap! Her research interests include broadening participation in STEM education using case studies, virtual worlds, and techniques borrowed from the lab sciences. She also explores applications of artificial intelligence including interdisciplinary new media applications, natural language understanding, and human-agent-robot teamwork. Dr. August is actively involved in the Scholarship of Teaching and Learning community and one of the founding members of CREATE-STEM, an interdisciplinary group of LMU faculty aimed at advancing and promoting STEM education activities. She is a 2006 CASTL Institute Scholar (Carnegie Academy for the Scholarship of Teaching and Learning). Dr. August has received NSF DUE IEECI and CCLI grants, and co-led an NSF PI Forum on Virtual Environments and Game-based Learning in the Classroom. Before coming to LMU she was a lecturer at LMU, UCLA, and UCI, and a software engineer with the Hughes Aircraft Company (now Raytheon). Her industry experience includes software and system engineering for several defense C3I programs and applied artificial intelligence research for military and medical applications.

Dr. August has served as the Director of Graduate Studies for the Department of Electrical Engineering and Computer Science at LMU and as the Special Assistant to the Chief Academic Officer for Graduate Education at LMU. Dr. August is an active member of AAAI, ASEE, ACM, CCSC, and the IEEE Computer Society.. 

Curriculum Vitae




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 approaches.