The Effectiveness of a Proposed Unit Based on the Linguistic Skills Approach Supported by Some AI Applications to Develop Spelling Skills Among Education Faculty Students

The current study aimed to develop spelling writing skills among second-year students in the Biological Sciences Department at the Faculty of Education in Cairo, Al-Azhar University This was through a proposed unit based on the language skills approach. The research sample consisted of 70 students. The research tools were a form to analyze common spelling errors among students, classify them, and prepare a list of skills in light of them. The study also required a test to measure the performance aspects related to spelling writing skills among the study sample. The researcher used the descriptive method and the single-sample experimental method. After completing the application of the experimental treatment materials and research tools, the results of the statistical analysis yielded statistically significant differences in favor of the post-application of the performance test for the spelling writing skills of the experimental group, which confirms the effectiveness of the proposed unit in developing spelling writing skills. The study also presented a number of recommendations and suggestions, including the necessity of holding courses and workshops for student teachers to train them on correct spelling writing skills, and the necessity for university faculty members to pay attention to correcting spelling errors among students and guiding them and expanding the use of modern applications and methods in teaching Arabic language skills, in addition to proposing a number of linguistic research supported by artificial intelligence applications in developing language skills among students of colleges of education, the effectiveness of Electronic activities based on the language skills approach to developing and employing grammatical skills, evaluating Arabic language curricula for science departments in colleges of education in light of students’ language levels, and preparing a proposed program based on artificial intelligence applications to develop oral performance skills among science department students in the College of Education.