This study analyzed the eighth grade mathematics portion of the spring 2004 Maine Educational Assessment (MEA) achievement test and the survey questions that were also administered. The analysis was on a school-wide level (n = 182). The two survey questions used were: “Which statement best describes the use of calculators in your mathematics classes?” and "Which statement best describes how you use your laptop in mathematics class: getting data from the Web, finding mathematics problems online, creating graphs?" Correlational analysis, partial correlation, and regression were used to determine if there was any association between calculator usage, laptop usage, and mathematics achievement for girls and for boys in the first state-wide group of students to have one-to-one laptops in Maine. Calculator usage was found to be positively associated with mathematics achievement for both girls (partial correlation coefficient of .189 (p = .011)) and for boys (partial correlation coefficient of .193 (p = .010)) even after controlling for school size and socio-economic status. Though no significant association between laptop usage and mathematics achievement for either girls or boys was found, this may be more a reflection on the survey question being a weak measure than the usage of laptops. In a post-hoc …

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 …

This study analyzed participants in an online professional development and certification program can to see if they could predict the learning value of individual distance education tools. The Texas Center for Educational Technology (TCET) funded by the Texas Telecommunications Infrastructure Fund (TIF) designed the Technology Applications Certification Program (TACP). In the TACP, students are offered four graduate level classes which, when combined, meet the standards for the State Board for Educator Certification (SBEC) Technology Applications certification. The four courses that comprise the TACP are Computers in Education, Introduction to the Internet, Multimedia in Technology Applications, and Introduction to Video Technologies. The first course started in January 2002 with approximately 706 participants in 40 cohorts across the state of Texas. The TACP combines two different worlds of technology training. Half of the coursework was completed through asynchronous content and discussions, while the remaining classes were hands-on classes in local district computer labs. These face-to-face meetings enabled learners to get hands-on training with direct assistance. Between the online and face-to-face segments, a variety of learning tools were introduced to the participants. Participants were surveyed through the online Snapshot Survey in January and again in September.