The Effect of Teaching Using Artificial Intelligence Software’s on the Academic Achievement of the 10th Grade Students in Computer Science Subject and Their Attitudes Towards It in Jordan
Abstract
This study aims to identify the effect of the teaching method using educational software based on artificial intelligence in the academic achievement of 10th-grade students in computer science in Jordan and their attitudes towards it. To achieve the goal of this study, a computerized software was designed to be applied to a purposefully selected sample consisting of (50) 10th-grade students at The University of Jordan School. The study sample was randomly distributed into two groups: an experimental sample taught using the educational software, and a control sample taught in the traditional method, where the researcher prepared an achievement test to measure the academic achievement of the 10th-grade students in the Computer Science Subject, where the validity and reliability of the test has been validated, and the test-retest reliability coefficient was (0.86). A questionnaire was prepared for the attitudes, where their validity and reliability were validated. The reliability factor of the questionnaire based on Cronbach’s alpha equation was (0.01). To analyze the results, an analysis of covariance (ANCOVA) was used, where the results of the study showed that there are statistically significant differences in favor of the experimental group taught using educational software based on artificial intelligence in learning computer science subject. The results also showed that there are medium positive attitudes of the experimental group towards educational software. The study recommended designing and developing computerized software in the field of teaching computer science subject s and training and encouraging teachers to use artificial intelligence-based learning in the field of basic education.
Keywords: artificial intelligence software, academic achievement, student attitudes, University of Jordan School
DOI: 10.7176/JEP/11-7-10
Publication date:March 31st 2020
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ISSN (Paper)2222-1735 ISSN (Online)2222-288X
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