Reality of Using Artificial Intelligence Applications in Diagnosing Gifted from the Viewpoints of Workers in the Field and Development Proposals

Authors

  • Ayman Ramdan Zhran, Rasha Mohamed Abdelrhman, Mahra Hamyer Almalek, Abdul Salam Mohammed, Mostafa Mohamed Abo Elnour

Keywords:

Artificial Intelligence - Diagnosis of Special Needs - Workers in Special Education.

Abstract

The study sought to identify the reality of using artificial intelligence applications to diagnose gifted students, and provide proposals of diagnosis for a sample of (143) workers in the field of special education in the light of artificial intelligence applications, counting on the descriptive analytical approach. Moreover, two questionnaires were constructed for the purposes of the study after verifying their validity and reliability. The findings indicated that the reality of using artificial intelligence applications to diagnose gifted students has miscellaneous problems and needs to be developed based on artificial intelligence applications. The average sample responses to proposals to develop the diagnosis of gifted students in the light of artificial intelligence applications were high. In addition, the findings did not show any statistically significant differences related to each of the work field or work nature.

Published

2023-02-13

How to Cite

Ayman Ramdan Zhran, Rasha Mohamed Abdelrhman, Mahra Hamyer Almalek, Abdul Salam Mohammed, Mostafa Mohamed Abo Elnour. (2023). Reality of Using Artificial Intelligence Applications in Diagnosing Gifted from the Viewpoints of Workers in the Field and Development Proposals. SJIS-P, 35(1), 76–85. Retrieved from http://sjis.scandinavian-iris.org/index.php/sjis/article/view/234

Issue

Section

Articles