Title :
Cognitive Systems Engineering Educational Software (CSEES): educational software addressing quantitative models of performance
Author :
Bolton, Matthew L. ; Bass, Ellen J.
Author_Institution :
Syst. & Inf. Eng., Virginia Univ., Charlottesville, VA, USA
Abstract :
There is a lack of educational technology to support cognitive systems engineering topics such as models of human performance in dynamic environments. This paper describes the Cognitive Systems Engineering Educational Software (CSEES) system, an integrated toolset designed to facilitate curricula related to human judgment and decision-making performance modeling and evaluation. CSEES provides students with the means to generate and analyze performance data using multiple methods. It also includes documentation and tutorials. Its flexible design facilitates adding new judgment and decision making task environments. The paper describes the initial system implementation as a Microsoft Excel add-on, a preliminary evaluation as part of a graduate engineering course, and planned future work.
Keywords :
cognition; computer aided instruction; decision making; engineering education; CSEES; Cognitive Systems Engineering Educational Software; Microsoft Excel; decision-making performance modeling; dynamic environment; educational software; educational technology; engineering education; human judgment performance modeling; human performance; Data analysis; Decision making; Design engineering; Educational technology; Humans; Performance analysis; Software performance; Software systems; Software tools; Systems engineering and theory; cognitive engineering; engineering education;
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9298-1
DOI :
10.1109/ICSMC.2005.1571669