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.