The purpose of this study was to investigate the ability of the Kolbe A Index to predict learners' attitudes and achievements within a web-based training context. The Index is used to measure the conative capacities of individuals. The Index translates raw scores into four Action Modes: Fact Finder, Follow Thru, Quick Start, and Implementor. A web-based simulation of training on customer service excellence was created containing four modules designed to match the respective learning style of each of the four Action Modes suggested by the Kolbe Corporation. Research questions were as follows. To what extent do the four Kolbe A Index Action Modes predict 1) how well learners will like content formatted to match the learning styles of the four Modes, 2) how well learners will remember content formatted to match the learning styles of the four Modes, and 3) how well the learners will remember the content regardless of the format? Three experts in applications of the Kolbe A Index then validated the simulation. Five other experts, each with a Ph.D. in the social sciences, validated the evaluation of learners' attitudes and achievements. Then a pilot study to collect data for a reliability analysis was conducted.
Sixty graduates from an international program in economics in Thailand participated in this study. Data were collected entirely through the Internet and in English. Multiple linear regression analyses with backward stepping method were performed to answer the research questions. Based on the limitations and data analyses of this study, the Kolbe A Index Action Modes did not predict how well learners liked content formatted to match the learning styles of the four Modes, how well learners remembered content formatted to match the learning styles of the four Modes, nor how well the learners remembered the content regardless of the format. More research is needed to explore how the Kolbe A Index Action Modes can be used to predict learners' attitudes and achievements.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/558 |
| Date | 30 September 2004 |
| Creators | Wongchai, Sasicha |
| Contributors | Stenning, Walter |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | 648652 bytes, 204966 bytes, electronic, application/pdf, text/plain, born digital |
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