Abstract
The use of computers for imparting education and training is rapidly gaining widespread acceptance. There is considerable evidence in literature to show that computer-based training (CBT) can lower training costs and shorten the time taken to complete training. Although considerable work has been done in the area of development of computer-based training systems, there has been little work done in the domain of assessing the effectiveness of using computer-based methods for the purposes of training. Furthermore, performance evaluations of CBT systems to date have been performed using ad-hoc, context-specific methods. There is thus a need to provide a uniform basis for performance assessments of computer-based training systems. This thesis presents a quantitative approach to the problem of performance assessments of CBT systems, using a theoretical framework known as General Systems Performance Theory. We believe the approach presented in this thesis can be used to provide a quantitative characterization of the performance of any training system in any training domain. The thesis also demonstrates the proposed approach by applying it to evaluate the performance of a set of training systems towards achieving the goal of training situational awareness skills.
Kashyap, Sujatha (2000). Quantitative training system assessments using General Systems Performance Theory. Master's thesis, Texas A&M University. Available electronically from
https : / /hdl .handle .net /1969 .1 /ETD -TAMU -2000 -THESIS -K384.