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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Identification of Predictors of Success in Individualized Computer Courses

Russell, John D. (John David), 1938- 08 1900 (has links)
This study provides a rationale for advising students on whether to enroll in individualized/self-paced computer courses. It identifies seven factors that have a significant correlation with success in an individualized computer course. The sample comprises all the students enrolled in individualized computer courses at Lee College, Baytown, Texas in the spring semester of 1988. Students completed a survey to determine whether they had previous computer experiences, whether they operated with a level of introvert personality characteristics, and whether the individualized computer course was their first choice. Students completed a learning style inventory and a score was determined using the items relating to individualized computer studies. Data collected in the Lee College records office included high school percentile rank, standardized reading score, standardized mathematics score, college hours completed, course withdrawals, and age. The following seven factors were shown by the data to have a significant correlation with a final grade (in order of decreasing significance): (a) learning style inventory, (b) high school percentile, (c) standardized mathematics score, (d) standardized reading score, (e) previous computer experience, (f) number of college hours, and (g) age. The following three factors were shown by the data to have no significant correlation with a final grade: (a) course withdrawals, (b) degree of personality introversion, and (c) the individualized computer course as first choice. The findings substantiate the hypothesis that success in an individualized computer course might be attributed to certain factors, and once identified, these factors can be used in advising students. Advisors should use as many of the seven factors (identified as significant), as possible in helping students choose between individualized and traditional computer courses.

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