Designing Artificial Intelligence Learning Experiences Based on SAMR Model and its Effectiveness in the Computational Thinking Skills of Female Students in the Engineering and Computer Track at the Secondary Stage

Abstract

This research aims to reveal the effectiveness of artificial intelligence learning experiences designed according to the SAMR model in enhancing the computational thinking skills of female students in the engineering and computer track at the secondary stage. In light of this, the research adopted the experimental approach with Quasi-experimental design. A female student from the engineering and computer track in the second year of secondary school in Al-Qunfudhah city, who underwent training on the artificial intelligence and machine learning program, a scale for estimating computer thinking skills was applied to the sample before and after implementing the program, and a post productive evaluation card was used to evaluate the designed machine learning projects. The results of the research showed that there was a statistically significant difference between the mean scores of the students in the pre and post measurement of computational thinking skills in favor of the post measurement. Statistically significant between the average scores of the post-measurement of the skills of producing machine learning projects and the test is 80%. The research recommended the need to direct those in charge of professional development programs for teachers to develop training programs Rebate deals with the most prominent practices