The selection of an education, scheduling, and administration (ESA) system is a complicated process. The overall satisfaction derived from a system depends on many variables. This study analyzes the influence of ESA predictor variables on overall satisfaction as determined by multiple regression. The null hypothesis, that the multiple correlation coefficient is zero, is rejected. The alternative hypothesis is accepted. This study confirms the theories that suggest that ESA ease of operation, computer reliability, and number of systems represented are the major determinants of overall computer user satisfaction. The factors identified were used in the design of an ESA Expert System based on Artificial Intelligence (ESAI).
|Original language||English (US)|
|Number of pages||13|
|Journal||The International journal of applied engineering education|
|State||Published - Dec 1 1987|
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