Abstract
While ABET criteria require that engineering graduates be able to "function on multidisciplinary teams" and "communicate effectively", the need for effective team skills goes far deeper. One solution is the use of a computationally intelligent "virtual facilitator" that contains a subset of the expert knowledge of a skilled facilitator. The "virtual facilitator" models behaviors of an expert facilitator to engineering student teams as they are working together. Albert Bandura's theory of observational learning suggests that skills can be developed through observation of expert "others" engaged in practice. Preliminary research indicates that students can increase beneficial team behaviors (such as inquiry) through observation and imitation of an expert system. This paper is an extension of a 2005 FIE Work-in- Progress presentation that documented an expert facilitator system. In this study the system is used as part of an hour-long team exercise for engineering students. This study looks at student interactions during the exercise. Measures include analysis of team conversations for instances of imitation of the expert system, as well as a comparison of differences in team performance. The potential for an easily disseminated method to help engineering students learn effective team skills is discussed.
Recommended Citation
R. Luechtefeld et al., "Expert System for Team Facilitation Using Observational Learning," Proceedings of the 2007 37th Annual Frontiers In Education Conference - Global Engineering: Knowledge Without Borders, Opportunities Without Passports, Institute of Electrical and Electronics Engineers (IEEE), Oct 2007.
The definitive version is available at https://doi.org/10.1109/FIE.2007.4418088
Meeting Name
2007 37th Annual Frontiers In Education Conference - Global Engineering: Knowledge Without Borders, Opportunities Without Passports
Department(s)
Engineering Management and Systems Engineering
Second Department
Electrical and Computer Engineering
Sponsor(s)
National Science Foundation (U.S.)
Keywords and Phrases
Educational Computing; Engineering Education; Expert System
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2007 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Oct 2007
Included in
Electrical and Computer Engineering Commons, Operations Research, Systems Engineering and Industrial Engineering Commons