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.

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) …

When expenses become an issue, training is often one of the first budget items to be cut. There have been a number of evaluation studies about rates of return from training interventions. Most results are based on interviewing participants about the value of the intervention and its effect on their productivity. This often results in quadruple digit return on investment indications. Decision makers who control the budget often view these kinds of results with skepticism. This study proposes a methodology to evaluate training interventions without asking participants their opinions. The process involves measuring learning through a series of pre-tests and post-tests and determining if scores on pre-tests can be used as predictors of future return on investment results. The study evaluates a series of return on investment scores using analysis of variance to determine the relationship between pre-tests and final return on investment results for each participant. Data is also collected and evaluated to determine if the financial results of the organization during the period of the training intervention could be correlated to the results of the training intervention. The results of the study suggest that the proposed methodology can be used to predict future return on investment from training …

Many are beginning to see the promise that the quantum world has offered those who manage and lead organizations (Wheatley, 1992; Zohar, 1997). The Newtonian world is one in which all "things" are reduced to their smallest parts, separated, divided, and analyzed with predictability, with complete control being the ultimate goal. The quantum world is one of infinite possibilities, infinite fields of influence, and infinite relationships. The hallmark characteristics found in a manager who has been schooled in the quantum sciences are flexibility, responsiveness, synchronicity, serendipity, creativity, innovation, participation, and motivation. In a quantum organization there is the constant awareness of the whole system, but there is also diversity (wave or particle), which allows for self-organization that is based on the environment and its requirements. In the quantum world many paths lead from A to Z, and depending on the path chosen, numerous realities wait to unfold. It was the goal of this research to explore the changing of leader behaviors through exposure to the models and theories found in quantum physics. From a quantum perspective this behavior change is possible; the only question is the readiness, willingness, and ability of the leaders to allow their behaviors to be surfaced …