Building a Proposed Artificial Intelligence-Based Instructional Model to Improve Learning Outcomes in Core Subjects among Middle School Female Students in Light of the National NAFES Assessments in Riyadh Education Administration
Keywords:
Artificial Intelligence , Learning Outcomes , Core Subjects , Middle School , National NAFES Assessments , Instructional ModelSustainable Development Goals (SDGs)
Abstract
The study aimed to identify the reality of employing artificial intelligence in teaching core subjects, explore the obstacles limiting its implementation and the requirements for its effective application, and examine its role in improving learning outcomes among middle school female students in light of the results of the National Assessment Program "NAFIS" in the Riyadh Education Administration. The study also sought to develop a proposed AI-based instructional model to enhance learning outcomes. The study adopted both the descriptive survey approach and the developmental approach. The study instrument consisted of a questionnaire administered to a sample of (277) female middle school teachers in the Riyadh Education Administration. The findings revealed that the level of employing artificial intelligence in teaching core subjects was high. The results also indicated the presence of several obstacles limiting its implementation, most notably weak internet connectivity and insufficient training on artificial intelligence tools. Additionally, the requirements for employing artificial intelligence were rated at a very high level, particularly those related to training, technical support, and the provision of appropriate educational applications. The results further demonstrated that artificial intelligence plays a significant role in improving learning outcomes, increasing classroom interaction, and enhancing the targeted skills measured in the NAFIS national assessments. In light of these findings, a proposed AI-based instructional model was developed, consisting of five main stages: intelligent learning analysis, smart interactive preparation, adaptive intelligent learning, continuous intelligent assessment, and continuous improvement and development. The study recommended providing teachers with adequate training on the use of artificial intelligence applications, ensuring the availability of appropriate technological infrastructure in schools, and benefiting from the proposed model to improve learning outcomes and enhance students' performance in the NAFIS national assessments.
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