The purpose of this research was to manipulate the component of confidence found in Keller's ARCS model to enhance the confidence and performance of undergraduate students enrolled in an online course at a Texas university using SAM 2003 software delivery. This study also tested whether the aforementioned confidence tactics had any unintentional effect on the remaining attention, relevance, and satisfaction subscales of the ARCS model as well as on learners' overall motivation for the class and the instructional materials. This study was conducted over a 5.5-week period with an initial sample of 81 total students. Two quantitative surveys were used to measure confidence and motivation: (a) the Course Interest Survey (CIS), and (b) the Instructional Materials Motivation Survey (IMMS). The results indicated that the treatment group showed statistically greater gains than the control group in terms of learner confidence on the CIS but not the IMMS. In terms of performance, the treatment group outperformed the control group on all of the individual posttest measures and on the overall aggregate mean performance score. The results showed no statistically significant difference on the attention subsection of the ARCS model. However, statistically significant differences were noted for the relevance and satisfaction subscales of …

The teacher professional development component of the will, skill, tool model of technology integration was tested for predictive validity in the cross-cultural context of data from Texas, USA, and data from Mexico City, Mexico. Structural equation modeling (SEM) analysis, path analysis, and multiple regression analysis, were statistical procedures employed. The analyses yielded positive results for the model's validity and reliability. The resulting model was found to be a reliable tool to evaluate technology integration among elementary and middle school teachers in Texas and in Mexico City. For the purposes of this study, the teacher professional development component of the will, skill, tool model of technology integration is referred to as the will, skill, tool model of technology integration (WiSTTI). This was one of the seven alternative models tested for goodness of fit across a total of 7 data samples. The structural equation modeling approach proved to be a good technique to find the best fit model in a cross-cultural environment. Latent variables and a set of parameters to judge the validity and reliability of each model were set for testing and retesting in an iterative process. Eventually a "new" modified version of the WiSSTI model was found to fit the …