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..
- Ph.D., 1991, Computer Science, University of California, Los Angeles
- M.S., 1985, Computer Science, University of California, Los Angeles
- B.A., 1972, Slavic Languages, University of California, Los Angeles
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.
August, S.E.; Hammers, M.L.; Murphy, D.B.; Neyer, A.; Gueye, P.; Thames, R.Q. (2015) Virtual Engineering Sciences Learning Lab: Giving STEM Education a Second Life. Accepted March 2015 for publication in IEEE Transactions on Learning Technology. dx.doi.org/10.1109/TLT.2015.241925
- Doran, S.; August, S.E. (2013) Reddo: A Model Driven Engineering Toolset for Embedded Software Development. HILT '13 Proceedings of the 2013 ACM SIGAda Annual Conference on High IntegrityLanguage Technology.
- August, S.E. (2013) Tsunami Warning System: A Case Study of Intelligent Agents.27th AAAI Conference on Artificial Intelligence, 4th Symposium on Educational Advances in Artificial Intelligence, July 14–18, 2013, Bellevue, WA. access
- August, S.E. (2012) Enhancing Expertise, Sociability and Literacy through Teaching Artificial Intelligence as a Lab Science. 119th ASEE Annual Conference, San Antonio, TX, June 10-13, 2012. download
- August, S.E.; Neyer, A; Murphy, D.; Shokrgozar, D.; Vales, J.I.; Hammers, M.L. (2011) Engaging Students in STEM Education through a Virtual Learning Lab. 118th Conference of the American Society for Engineering Education, June 26-29, 2011, Vancouver, BC, Canada. download
- Neyer, A.; August, S.E.; and Hammers, M.L. (2011). Working together: words and math. Journal of Computing Sciences in Colleges, 26:4. download
- August, Stephanie E. and Hammers, Michele L. IEECI: Encouraging Diversity in Engineering through a Virtual Engineering Sciences Learning Lab. NSF Proposal no.0935100, 2009.
- August, S.E. (2008) The “Living” Room: A Case Study in Artificial Intelligence, Collaborative Systems, and Language Understanding. The National Center for Case Study Teaching in Science
- August, S.E., and Johnson, C. Teaching AI as a Lab Science. Poster presentation, Consortium for Computing Sciences in Colleges First Annual Southwest Regional Conference, 18-19 April 2008.
- August, S.E. Enhancing Expertise, Sociability, and Literacy through Teaching. Grant proposal submitted to National Science Foundation Course, Curriculum and Laboratory Improvement - Adaptation and Implementation, May 2008.
- Tatarinova, T., August, S.E., Kuleck G. Development of Integrated Data Mining Tools for Functional Genomics. Grant proposal submitted to National Science Foundation Advances in Bioinformatics, August 2008.
- Dionisio, J.D.N., Dickson C.L., August, S.E., Dorin, P.M. and Toal, Ray (2007). An open source software culture in the undergraduate computer science curriculum. ACM SIGCSE Bulletin. 39:2, pp.70-74.
- August, S.E. (2003). An Effective Interactive AI Resource?does more than teach AI. In Mehdi Khosrowpour (Ed.), Proceedings of the 2003 Information Resource Management Association International Conference. Hershey PA: Information Resource Management Association, pp.17-19.
- August, S.E. (2003). Fire and Ice in the City. In M. McCullough Editor, FIRE and ICE: Imagination and Intellect in the Catholic Tradition. Scranton PA: The University of Scranton Press, pp. 149-156.
- Whitley, L.C. (author) and August, S.E. (technical editor) (2003). Relational Databases: Design, Tools, and Techniques. Learning Tree International Course 382. Revision T. Los Angeles CA, Learning Tree International. [Notes distributed to all students attending Course 382 in the U.S., Canada, and worldwide.]
- August, S.E., and Dolan, C.P. (1992) Hughes Research Laboratories: Trainable Text Skimmer for MUC-4, System Description. In Proceedings of the Fourth Message Understanding Conference (MUC-4). Mc Lean, Virginia, 16-18 June, 1992.
- August, S.E. and McNamee, L.P. (1991). ARIEL: A refined model of analogy understanding. In Proceedings of the 4th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. Kauai, Hawaii, 2-5 June 1991, vol. II, pp.770-779.
- August, S.E. and McNamee, L.P. (1990). Integrating analogical reasoning in a natural language understander. In Proceedings of the 3rd International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Charleston, South Carolina, 16-19 July, 1990. vol. I, pp.538.
- August, S.E. and Dyer, M.G. (1985) Understanding analogies in editorials.
9th International Joint Conference on Artificial Intelligence.
Los Angeles, California, August 1985, pp.845-847.
- August, S.E. and Dyer, M.G. (1985) Analogy recognition and comprehension in editorials. 7th Annual Conference of the Cognitive Science Society. University of California, Irvine, 15-17 August 1985. pp.236-241.