| This research study examined whether a training session conducted using accelerated learning methods produced greater learning gains, increased attention, and improved attitudes towards learning over traditional methods. Using a quasi-experimental design, the researcher used a pretest and posttest, in addition to survey and observation instruments, to test hypotheses in these three areas. The population included new employees at a biotechnology company who participated in the regularly scheduled new employee training session. A convenience sample was used to select participants from among new employees who were enrolled in this regularly scheduled class and who volunteered to participate in the research study. The control and treatment groups ran sequentially with the control group receiving the traditional training on May 14, 2007 and May 29, 2007 and the treatment group receiving the intervention on July 9, 2007 and July 23, 2007. Data analysis was conducted in SPSS using t tests and the Mann-Whitney U test to determine if the difference between the control and test groups were significantly different (p-value < .05). The study was unable to show statistically significant results to support the hypothesis that accelerated learning is more effective than traditional learning in the areas of learning gains, attention, and student attitudes. The study, however, did provide sufficient evidence to support that accelerated learning is at least as effective as traditional learning. For example, a paired samples t test did show significant results within group, showing that both traditional and accelerated learning formats were effective ways to produce learning gains. In addition, student survey responses showed a relationship between the delivery method used and rates of attention and student attitudes. Based on results, the researcher recommended continuing the use of the accelerated learning format in the company's new employee orientation program as well as encouraging future research to test the effectiveness of accelerated learning in other industries and populations. |