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) …

The purpose of the study was to investigate the application of the chunking process to the design and delivery of workforce training. Students in a 1-hour course (N = 110) were measured on learner reaction, learning score achievement, and knowledge retention to see whether or not chunking training in a 1-hour session into three 20-minute sessions to match adult attention span resulted in a statistically significant difference from training for 1-hour without chunking. The study utilized a repeated measures design, in which the same individuals in both the control group and experimental group took a reaction survey instrument, a posttest after the training, and again 30 days later. Independent samples t tests were used to compare the mean performance scores of the treatment group versus the control group for both sessions. Cohen's d was also computed to determine effect size. All hypotheses found a statistically significant difference between the experimental and control group.

Bivariate correlation was used to examine possible relationships between instructor immediacy and instructor presence, and a statistically significant correlation was found. Multiple linear regression analysis was used to determine whether the linear combination of instructor immediacy and presence caused significant variance in student affective learning, cognition, and motivation. For all three of the latter dependent variables, the linear combination of instructor immediacy and presence was found to cause statistically significant variance. However, although the overall regression models were significant in all three tests, instructor immediacy was not found to be a significant individual predictor for causing variance in affective learning, cognition, or motivation, whereas instructor presence was found to be a significant individual predictor of all three. Finally, factorial ANOVA revealed that, for perceptions of instructor immediacy, only classification and course type were found to explain significant variance, with undergraduate students in asynchronous courses reporting significantly lower instructor immediacy. For perceptions of instructor presence, graduate students tended to rate their instructors as having higher presence than did undergraduate students, and students in synchronous courses tended to rate their instructors as having higher presence than did students in asynchronous courses.

The feeling of ownership is a topic of research that has not been addressed as a component in the integration of technology in the K-12 classroom. The effectiveness of this abstract concept in relationship to digital computing is important in the evaluation of one-to-one initiatives in education. This paper reports findings of a research study conducted using a new ownership survey instrument I developed, the Laptop Usage Inventory (LUI). Also administered during the study was the Student Attitude Survey given in a pretest/posttest design. The instruments were administered to seventh and eighth grade students in a north Texas middle school in the 2007-2008 school year. The methodology used to evaluate the Laptop Usage Inventory consisted of Cronbach's alpha and various scaling methods. LUI scale scores were correlated with the results of the Student Attitude Survey to compare students' attitudes toward school before and after using a laptop computer for the school year. Implications for laptop initiatives and for the classroom are discussed and a future research agenda is presented.