
Improving English Pronunciation Through Computer-Assisted Programs In Jordanian Universities
Author(s) -
Fatima Zaki Mohammad Al-Qudah
Publication year - 2012
Publication title -
journal of college teaching and learning/journal of college teaching and learning
Language(s) - English
Resource type - Journals
eISSN - 2157-894X
pISSN - 1544-0389
DOI - 10.19030/tlc.v9i3.7085
Subject(s) - pronunciation , mathematics education , significant difference , psychology , test (biology) , analysis of variance , statistical analysis , control (management) , computer science , linguistics , statistics , mathematics , artificial intelligence , philosophy , biology , paleontology
The purpose of this research is to investigate the effect of using computer- assisted programs for teaching English pronunciation on students' performance in English Language pronunciation in Jordanian universities. To achieve the purpose of the study, a pre/post-test was constructed to measure students' level in English pronunciation. The sample of the study consisted of 149 third year students; (73) male students and (76) female students from Al Zaytoonah university during the second semester of the academic year 2010/2011. The subjects of the study were distributed into two groups (experimental and control). The experimental group was trained on English pronunciation using computer-assisted program while the control group was trained using the printed material. Descriptive statistical analyses were used (means and standard deviation) for the pre and post- tests of students' English pronunciation. Comparison statistical methods were used (Two Way ANOVA) analysis of variance to make a comparison between the control and the experimental groups and gender variable (male and female). The findings of the study indicated that there were statistically significant differences in the post- test between the control and the experimental groups in favor of the experimental group, and there was no statistically significant difference in the students' performance due to gender.