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Manal Muhammad Fadl Radwan

Abstract

The study aimed to discover the obstacles to applying artificial intelligence in ‎teaching social studies from the point of view of social studies teachers in Aqaba ‎Governorate and their proposals for treating them. The researcher used the ‎descriptive analytical method. The study sample reached (159) social studies ‎teachers from Aqaba. To achieve the study's objectives, the researcher ‎prepared A questionnaire study tool consisting of (15) items. The study ‎found that the obstacles to applying artificial intelligence in teaching social studies ‎from the point of view of social studies teachers in Aqaba Governorate and their ‎suggestions for treating them were high, with a mean score of (3.8707). The results also showed statistically significant differences ‎between the answers of the study sample regarding the application of artificial ‎intelligence in teaching social studies from the perspective of social studies ‎teachers in Aqaba Governorate due to the years of experience variable. Simultaneously, there were no differences due to the academic qualification variable. ‎‏Based ‎on these results, the study recommended providing specialized ‎training and qualification programs for social studies teachers in using intelligent ‎technologies and artificial intelligence in education.‎

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Keywords

Obstacles to the application of artificial intelligence, social studies teachers, social studies.

Section
Quality Environment of Teaching and Learning
How to Cite
[1]
Radwan, M.M.F. tran. 2024. The level of Obstacles to the application of artificial intelligence in teaching social studies from the perspective of social teachers in Aqaba Governorate . The Arab Journal For Quality Assurance in Higher Education. 17, 63 (Dec. 2024). DOI:https://doi.org/10.20428/ajqahe.v17i63.2651.

How to Cite

[1]
Radwan, M.M.F. tran. 2024. The level of Obstacles to the application of artificial intelligence in teaching social studies from the perspective of social teachers in Aqaba Governorate . The Arab Journal For Quality Assurance in Higher Education. 17, 63 (Dec. 2024). DOI:https://doi.org/10.20428/ajqahe.v17i63.2651.