Availability and perceived influence of e-learning on achievement of undergraduate computer science students in universities in Delta State

This study was titled availability and perceived influence of e-learning on achievement of undergraduate computer science students in universities in Delta State. Five research questions and four hypotheses tested at 0.05 level of significance guided the study. Descriptive survey design was used. The population was 5,896 with sample size of 300. Simple random grouping was used to select from the 300 level students a total of 300 students that participated as respondents to the study. The random grouping method yielded 111, 93 and 96 computer science students from the sampled universities respectively. A researcher constructed test and questionnaire was developed and validated at a reliability coefficient of 0.86 and 0.82 respectively served as instruments. Data gathered from the field was analyzed using statistical tools such as: Mean, standard deviation for research questions. Items with mean weight of 2.50 and above were accepted while items with mean weight of 2.49 and below were rejected. Hypotheses were tested by the use of independent t-test at 0.05 level of significance. Statistical package for social sciences (SPSS) version 27 was used for the analysis. Meanwhile, percentage, mean and standard deviation was used to answer research questions while T-test was used to test the hypotheses. The result of the study among others revealed that e-learning technologies have positive influence on computer education students' achievement.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-29
DOI
https://doi.org/10.5281/zenodo.14569195
Primary Topic
Knee injuries and reconstruction techniques
Type
article
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article

Availability and perceived influence of e-learning on achievement of undergraduate computer science students in universities in Delta State

Zenodo (CERN European Organization for Nuclear Research)
Knee injuries and reconstruction techniques
article

Availability and perceived influence of e-learning on achievement of undergraduate computer science students in universities in Delta State

article en

Abstract

This study was titled availability and perceived influence of e-learning on achievement of undergraduate computer science students in universities in Delta State. Five research questions and four hypotheses tested at 0.05 level of significance guided the study. Descriptive survey design was used. The population was 5,896 with sample size of 300. Simple random grouping was used to select from the 300 level students a total of 300 students that participated as respondents to the study. The random grouping method yielded 111, 93 and 96 computer science students from the sampled universities respectively. A researcher constructed test and questionnaire was developed and validated at a reliability coefficient of 0.86 and 0.82 respectively served as instruments. Data gathered from the field was analyzed using statistical tools such as: Mean, standard deviation for research questions. Items with mean weight of 2.50 and above were accepted while items with mean weight of 2.49 and below were rejected. Hypotheses were tested by the use of independent t-test at 0.05 level of significance. Statistical package for social sciences (SPSS) version 27 was used for the analysis. Meanwhile, percentage, mean and standard deviation was used to answer research questions while T-test was used to test the hypotheses. The result of the study among others revealed that e-learning technologies have positive influence on computer education students' achievement.

Zenodo (CERN European Organization for Nuclear Research)
Chukwuemeka Odumegwu Ojukwu University (NG)
Quality Education
Openalex Percentile: Top 46%
Knee injuries and reconstruction techniques
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Availability and perceived influence of e-learning on achievement of undergraduate computer science students in universities in Delta State · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS