Teaching math with technology: A study of teachers' attitudes and beliefs

Today's economy is driven by information technology (IT). Education and business should come to an agreement that functional technology skills should be integrated with core academic courses to create an educational system that truly prepares workers for the 21st Century. The business realm theoretical foundation for this study laid on the match/mismatch established between technology---math education and business' readiness---[math] skills. The level of education and skills of workers needed by business and industry has increased. Nonetheless, scholars underlined the belief that the skills workers possess are generally not sufficient for the demands of the more sophisticated jobs in today's economy. With this study this researcher pretended to fill the gap in the literature by examining the hypothesis that poor education results in low skills is hampering U.S. businesses and the disparity between what employers need and what workers offer is getting serious enough. Within this investigation the researcher tested for first time three theories: the AST/TML theory, the TAM theory, and the Constructivist theory, whereas having behind scenes K-12's mathematics arena. This study found that "there is no statistically significant relationship between the degree to which teachers accept new technologies and technology usage in mathematics instruction" and that "teachers' individual affective reactions to technology toward integrating computers and technology into math instruction are not related to readiness skills." However, a Post Hoc analysis demonstrated that at least for one of the individual predictors, problem solving construct scores, the null hypothesis was rejected. It means in a long path to academic success, small waves of effectiveness in education are penetrating the sandy beaches of skills. Additionally, this researcher confirmed some scholars' assertion about Confirmatory Factor Analysis, which described that sample sizes smaller than 100 as dangerous and recommended using sample sizes larger than 200 for safe conclusions. Finally, the researcher tested and validated the Technology-Mediated Learning (TML) theory while adding his research positive conclusion(s) to the body of knowledge.