The purpose of this study was to determine if there was a relationship between training in learning style adaptation and successful completion of community college courses. The rationale for conducting this study was based on the need for students to learn how to adapt their learning style in order to more effectively learn in any situation. It is also important that community colleges implement strategies that assist in student retention. The learning styles of entry-level community college students were measured using Kolb's Learning Style Inventory Version 3. Students enrolled in entry-level college courses at a small North Texas community college were studied. The Chi-square Test of Independence with a 2 x 2 design was employed. Findings indicated that there was no statistically significant difference in the relationship between students receiving training in learning styles adaptation and successful completion of entry-level college courses, and that students who attended a learning styles training session and those who did not attend a learning styles training session had an equal chance of succeeding in entry-level community college courses. Findings also indicated that students with Accommodating and Assimilating learning styles are less likely to successfully complete an entry-level college course than are students with Diverging …

This research was conducted to determine why two-year community college instructors teach over the Internet. By understanding why these instructors teach over the Internet, colleges can recruit more instructors to teach using the Web thus allowing colleges to offer more Internet courses. They can also use the information to keep the instructors who are currently teaching over the Internet satisfied, and motivate them to continue to teach. To gather this information, a questionnaire was created and evaluated for reliability and validity during a pilot study. It was then sent to those instructors who taught over the Internet, and had their e-mails available on their campus Website. A 30.5% response rate (N=100) was achieved. The survey was divided into two sections, a demographics section and a Likert scale dealing with motivation. The Likert scale had six choices ranging from strongly agree to strongly disagree and 31 statements. The demographic data were reported and summarized. The Likert items were examined using factor analysis techniques, and a number of components were discovered. Eight components, made up of the 31 variables from the Likert scale were found using the factor analysis. The eight components in order are labeled: Technical and Computer Challenges, School Promotion, …