Description: Computer technology has been used in education for years, and the government budgets large amounts of money to foster technology. However, it is still a debated whether computer technology makes a difference in students' learning outcomes. The purpose of this study is to find if any relationship exists between computer use by teachers and students and the students' academic achievement in math and reading for both traditional populations and English language learner (ELL) tenth graders. Computer use in this study included the computer activities by students and teachers, in terms of the time, frequency, activities types, the places students use computers, teachers' computer activities, and the training teachers received. This study used data gathered from tenth grade students from the dataset Education Longitudinal Study of 2002 (ELS:2002) of the National Center for Education Statistics (NCES). Fifteen thousand, three hundred and sixty-two students were randomly selected to represent all U.S. tenth-graders attending schools in 2002. The findings showed diverse relationships consistent with the literature. Based on the findings, some suggestions were made to teachers and parents about the quality of school work and computer use by students and teachers.

Description: Floating describes the act of staff moving from one unit to another based on the needs of the patients in a hospital. Many staff who float to different units express negative feelings, including anxiety and lack in self-efficacy. However, floating is both an economical and efficient method to use staff across the hospital, especially with current staffing shortages in the United States. This study investigated how the use of mobile performance support devices may help reduce anxiety and increase self-efficacy for those staff who float to different units. with access to multiple resources available on the mobile device, Bandura's social learning theory and self-efficacy concept set the framework through modeling, observing, and imitating others in order to reproduce certain behaviors and tasks and believe in one's capability to perform. a quantitative study incorporating the retrospective pretest-posttest design was conducted using the population of float staff, including both nurses and respiratory therapists, from Children's Medical Center of Dallas. Both the State-Trait Anxiety Inventory and General Self-Efficacy Scale, along with a basic demographic tool, were used to explore anxiety and self-efficacy in relation to the usage of mobile performance support devices. Findings can be used to impact the negative feelings of staff ...

Description: The purpose of this study is to identify and analyze the relationships that exist between mathematics anxiety and nurse self-efficacy for mathematics, and the medication calculation performance of acute care nurses. This research used a quantitative correlational research design and involved a sample of 84 acute care nurses, LVNs and RNs, from a suburban private hospital. the participants filled out a Mathematics Anxiety Scale, a Nurse Self-Efficacy for Mathematics Scale and also completed a 20-item medication calculation test. Significant practical and statistical relationships were discovered between the variables utilizing multiple linear regression statistics and commonality analysis. As the Nurse’s Mathematics anxiety score increased the scores on the medication test decreased and the scores on nurse self-efficacy for mathematics scale also decreased. the demographic item of “Hours a nurse worked in one week” had the greatest significance. the more hours a nurse worked the lower their score was on the medication calculation test. This study agrees with others that nurses are not good at mathematics. This study also correlated that as the number of hours worked increased so did the medication calculations errors. and many nurses have a measurable level of anxiety about mathematics and dosage calculations and this may influence ...

Description: The 21st century is now in the second decade and the need for 21st century skills is discussed at all levels of education as necessary for student success in the future. Federal, state, and districts are addressing this need and have written technology plans to address 21st century skills needed. the purpose of this dissertation is to contribute to the knowledge of 21st century educational technology. the data includes seven recorded interviews from two separate research projects covering two models of education as teachers discuss teaching, learning, and technology. the data studied determines how educational technology perceived in the school environments has been integrated into the classrooms. the initial scripting of video interviews from two research projects began the analysis of data. Particular themes emerged in response to questions established by the two separate research projects focused on classroom, school, and district environmental arrangements that examined; teaching responsibilities and practices; student learning opportunities; and how technology is woven throughout instruction. Further exploration of themes stemmed from analysis conducted with the qualitative software program, NVivo 9. the themes discussed in this paper relate to instructor perceptions of teaching, learning, classroom procedures, and the role technology plays in each. Also noted are ...

Description: The study's purpose was to identify demographics, educational background, finances, formal and informal education and experiences, reading habits, external environmental factors, psychological factors, and computer efficacy factors that predict a student's ability to successful complete an online (Web-based) distance learning community college course. Major student retention theories and student attrition and persistence research guided the study. Distance learners (N = 926) completed four surveys, which collected data for 26 predictor variables that included age, gender, marital status, ethnicity, support others, course load, first-time student, last semester attended, student type and location, financial stability, tuition payment, prior learning experiences, reading habits, family support, enrollment encouragement, study encouragement, time management, study environment, employment, extrinsic and intrinsic motivation, locus of control, self-efficacy, computer confidence and skills, and number of prior online courses. Successful or unsuccessful course completion was the dependent variable. Statistical analyses included Cronbach's alpha, Pearson chi-square, two-sample t test, Pearson correlation, phi coefficient, and binary logistic regression. Variables in each factor were entered sequentially in a block using separate binary logistic regression models. Statistically significant variables were course load, financial stability, prior learning experiences, time management and study environment, extrinsic motivation, self-efficacy, and computer skills. Selected predictor variables (N = 20) ...