The problem of the current paper is embodied in the weakness of the female students
of the department of the Quran sciences in the college of Education for Women in the
University of Baghdad in the subject of reciting and memorizing the Holy Quran. This is what
the professors and the scientific and educational supervisors stress equally through their visits
to the students applicants during the period of their practical application of teaching in the
schools; especially that the subject is thought for four years during their study in the college.
That weakness is so explicit with a quite large number of the students-applicants, who are
supposed to be the future teachers in the subject of the Holy Quran and Islamic Education in
the intermediate and secondary schools. Hence come the importance of finding the solutions
for such a big problem as its main issue is totally related to the greatest divine Book of all, the
Holy Quran, on one hand; and on the other hand, it is related to the out puts of the department
of the Quran sciences and Islamic Education that is related to preparing qualified graduates to
teach the Holy Quran in our schools.
Therefore, the researchers have chosen to investigate the problem of teaching the
subject of the Holy Quran recitation and its memorization through the perspectives of the
teachers and the students and try to find the best solutions for them
Artificial intelligence (AI) offers significant benefits to biomedical research and academic writing. Nevertheless, using AI-powered writing aid tools has prompted worries about excessive dependence on these tools and their possible influence on writing proficiency. The current study aimed to explore the academic staff’s perspectives on the impact of AI on academic writing. This qualitative study incorporated in-person interviews with academic faculty members. The interviews were conducted in a semi-structured manner, using a predetermined interview guide consisting of open-ended questions. The interviews were done in person with the participants from May to November 2023. The data was analyzed using thematic analysis. Ten academics aged
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