The Effects of ARCS-based Confidence Strategies on Learner Confidence and Performance in Distance Education.
Description: The purpose of this research was to manipulate the component of confidence found in Keller's ARCS model to enhance the confidence and performance of undergraduate students enrolled in an online course at a Texas university using SAM 2003 software delivery. This study also tested whether the aforementioned confidence tactics had any unintentional effect on the remaining attention, relevance, and satisfaction subscales of the ARCS model as well as on learners' overall motivation for the class and the instructional materials. This study was conducted over a 5.5-week period with an initial sample of 81 total students. Two quantitative surveys were used to measure confidence and motivation: (a) the Course Interest Survey (CIS), and (b) the Instructional Materials Motivation Survey (IMMS). The results indicated that the treatment group showed statistically greater gains than the control group in terms of learner confidence on the CIS but not the IMMS. In terms of performance, the treatment group outperformed the control group on all of the individual posttest measures and on the overall aggregate mean performance score. The results showed no statistically significant difference on the attention subsection of the ARCS model. However, statistically significant differences were noted for the relevance and satisfaction subscales of the model. There was also a statistically significant difference in overall learner motivation as measured on both surveys. This research study suggests the feasibility of improving overall learner motivation and performance through external conditions such as systematically applied confidence tactics. The research further supports claims about the effectiveness of the ARCS model as a viable tool for enhancing online learner motivation and performance. What was unclear in this study was whether individual subsections of the ARCS model, such as confidence, can be independently manipulated.
Date: May 2006
Creator: Huett, Jason Bond