Volume 20, Issue 24 (5-2024)
JNIP 2024, 20(24): 1-17 |
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Salehnezhad Behrestaghi S, Shoghi B, Heydari Parchkohi A. Presenting the Conceptual Model of Artificial Intelligence in the Country's Education System: Antecedents and Consequences. JNIP 2024; 20 (24) :1-17
URL: http://jnip.ir/article-1-1109-en.html
URL: http://jnip.ir/article-1-1109-en.html
Ph.D., Department of Philosophy of Education, Shahid Muftah Branch, Farhangian University, Tehran, Iran
Abstract: (1375 Views)
The current research was conducted with the purpose of presenting the model of using artificial intelligence in the country's education system with considering the antecedents and consequences. The research method was based on the objective, applied based on the type of data, mixed (qualitative-quantitative) of the exploratory type. The statistical population of the research was formed by three sections of scientific documents, qualitative section (experts) and quantitative section (school managers at Tehran city). The sample size in the qualitative section included 18 experts who were selected using the principle of saturation and non-random sampling method. Also, in the quantitative part, 265 people were selected by stepwise cluster sampling method. In the qualitative part of this research, semi-structured interviews were used to collect data, and in the quantitative stage, a researcher-made questionnaire taken from the qualitative part was used. In the qualitative part, to calculate validity according to experts and to calculate reliability, intra-subject agreement and agreement between two coders were used, and the results indicated the validity and reliability of the data of the qualitative part. Also, in order to determine the validity of the questionnaire, content and construct validity were used, and Cronbach's alpha coefficient and composite reliability were used to calculate reliability, and the results indicated the validity and reliability of the instrument. The method of data analysis in the qualitative part was thematic analysis with Maxqda 2020 software. In the quantitative part, according to the research questions, descriptive and inferential statistical methods (sample t-test and confirmatory factor analysis) were used using Spss-V23 and Smart PLS software. The findings of the research showed that the antecedents of using artificial intelligence in the country's education system included the empowerment of teachers, technical infrastructure, and acceptance of data security, and its consequences included the quality of education, the quality of evaluation, and the creation of teaching/learning. Based on identified antecedents and consequences, the research model was designed, which had appropriate validity.
Keywords: Artificial Intelligence, Antecedents and Consequences, Teacher Empowerment, Education System
Type of Study: Research |
Subject:
Special
Received: 2024/05/19 | Accepted: 2024/05/30 | Published: 2024/05/30
Received: 2024/05/19 | Accepted: 2024/05/30 | Published: 2024/05/30
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