This study investigates the correlation between students' learning styles, computer competency and student satisfaction in Web-based distance learning. Three hundred and one graduate students participated in the current study during the Summer and Fall semesters of 2002 at the University of North Texas. Participants took the courses 100% online and came to the campus only once for software training. Computer competency and student satisfaction were measured using the Computer Skill and Use Assessment and the Student Satisfaction Survey questionnaires. Kolb's Learning Style Inventory measured students' learning styles. The study concludes that there is a significant difference among the different learning styles with respect to student satisfaction level when the subjects differ with regard to computer competency. For accommodating amd diverging styles, a higher level of computer competency results in a higher level of student satisfaction. But for converging and assimilating styles, a higher level of computer competency suggests a lower level of student satisfaction. A significant correlation was found between computer competency and student satisfaction level within Web-based courses for accommodating styles and no significant results were found in the other learning styles.

Data warehousing (DW) in the last decade has become the technology of choice for building data management infrastructures to provide organizations the decision-making capabilities needed to effectively carry out its activities. Despite its phenomenal growth and importance to organizations the rate of DW implementation success has been less than stellar. Many DW implementation projects fail due to technical or organizational reasons. There has been limited research on organizational factors and their role in DW implementations. It is important to understand the role and impact of both technical but organizational factors in DW implementations and their relative importance to implementation performance. A research model was developed to test the significance of technical and organizational factors in the three phases of implementation with DW implementation performance. The independent variables were technical (data, technology, and expertise) and organizational (management, goals, users, organization). The dependent variable was performance (content, accuracy, format, ease of use, and timeliness). The data collection method was a Web based survey of DW implementers and DW users sampled (26) from a population of 108 identified DW implementations. Regression was used as the multivariate statistical technique to analyze the data. The results show that organization factors are significantly related to performance. …