The primary purpose of this study was to identify the influence of computer user
knowledge as measured by the Computer User Knowledge Survey (CUKS), and the personal
demographic characteristics of Gender, Age, and Race on academic achievement as measured
by the Graduation Exit Examination-21 (GEE-21), among high school seniors in public schools
in a parish in South Louisiana.
The CUKS and the Gender and Race data were collected from the self-perceived CUKS
survey administered to 295 seniors registered in English IV classes at a school in South
Louisiana. The academic achievement data and the ages of the student subjects were retrieved
from the Louisiana Department of Education GEE-21 data base.
Each of the six CUKS sub-scales, Basic Knowledge CUKS, Windows CUKS, Word
Processing CUKS, Internet CUKS, Multimedia CUKS, and Computer Games CUKS, and the
Overall CUKS score were correlated with each of the four GEE-21 academic achievement
categories, Math, English, Science, and Social Studies. The results showed that Multimedia
CUKS (r = .16; p = .018) and Basic Knowledge CUKS (r = .04; p = .037) were significantly
related to English scores. No other significant relationships were found among the CUKS subscales
and the GEE-21 scores.
Regression analysis was used to determine if models existed which explained a
significant portion of the variance in academic achievement scores. The regression models
showed that Multimedia CUKS explained 2.3% of the variance in English scores; Gender
explained 3.8% and Hispanic explained 1.9% of the variance in Science scores; and Gender
explained 5% and Multimedia CUKS 1.9% of the variance in Social Studies scores.
Conclusion included: 1) the racial make-up of the sample was very atypical for public
schools in South Louisiana; 2) there was little or no correlation between computer user
knowledge and academic achievement; 3) the scores of the student participants were
exceptionally high on the self-perceived CUKS; 4) sample students typically scored in higher
achievement levels than students statewide, and outstandingly so in Math.
Recommendations included finding and using more objective computer knowledge
assessments in future studies to reduce the possibility of student response error in similar
studies.
| Identifer | oai:union.ndltd.org:LSU/oai:etd.lsu.edu:etd-06102010-120904 |
| Date | 10 June 2010 |
| Creators | Brown, Michael E. |
| Contributors | Kennedy, Eugene, Kosar, Tevfik, Johnson, Earl C., Machtmes, Krisanna L., Burnett, Michael F. |
| Publisher | LSU |
| Source Sets | Louisiana State University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lsu.edu/docs/available/etd-06102010-120904/ |
| Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached herein a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to LSU or its agents the non-exclusive license to archive and make accessible, under the conditions specified below and in appropriate University policies, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
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