The purpose of this study was to determine if there was a significant relationship between learning styles and student learning outcomes in an online college mathematics course. Specifically, the study was guided by two research questions focused on (a) the extent to which learning styles had a predictive relationship with student achievement in an online college mathematics course and (b) the extent to which various learning styles among mathematics students in online versus face-to-face courses predicted mathematics achievement. The population for this study consisted of the 779 college mathematics and algebra (CMA) students who were enrolled in a private multimedia university located in the southeast. A total of 501 students were enrolled in the online class, i.e., the experimental group, and 278 students enrolled in the face-to-face class comprised the control group. All students completed (a) an initial assessment to control for current mathematics knowledge, (b) the online Grasha-Reichmann Student Learning Styles Scales (GRSLSS) Inventory, and (c) 20 questions selected from the NAEP Question Tool database. Hierarchical linear regressions were used to address both research questions. A series of ANCOVA tests were run to examine the presence of any relationships between a given demographic and course modality when describing differences between student test scores while controlling for prior academic performance. The results indicated that predominant learning style had no apparent influence on mathematics achievement. The results also indicated that predominant learning style had no apparent influence on iv mathematics achievement for online students. When examining demographics alone without respect to modality, there was no significance in course performance between students in various ethnicity, gender, or age groups
Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-3244 |
Date | 01 January 2012 |
Creators | Steele, Bridget |
Publisher | STARS |
Source Sets | University of Central Florida |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Electronic Theses and Dissertations |
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