فهرست نشریات علمی دسترسی آزاد ایران

This study aims to present an intelligent knowledge extraction model for educational environments. The participants were managers of educational centers. Sampling was conducted with 18 experts and specialists. The data collection tools were a review of upstream documents related to education and data extraction in the library section, and semi-structured interviews. The content analysis method based on the Attride-Stirling model was employed to analyze qualitative data. To measure reliability, the Holst coefficient, Scott's p-coefficient, Cohen's kappa index, and Krippendorff's alpha were utilized and confirmed. ATLASTI software was utilized in the content analysis section. In the research employing the Stirling-Darling technique, 75 initial codes were identified across 15 initial themes, which were further categorized into 5 constituent themes. Foundational Concepts and Theoretical Frameworks, Technological Integration and Data Management, Learning Environments and Pedagogical Strategies, Assessment, Evaluation, and Challenges, Future Directions, Professional Development, and Community Engagement. The successful implementation of knowledge extraction in educational centers necessitates a comprehensive approach that considers all these elements in an integrated manner. Advanced technologies should be employed to collect and analyze educational data. Furthermore, the internal and external conditions of educational institutions should be designed and enhanced to facilitate the optimal utilization of this data. This initiative has the potential to transform educational processes and result in significant enhancements in the quality of teaching and learning within educational institutions. To facilitate the flourishing of knowledge extraction within educational models and enhance educational centers, it is crucial to pay attention to infrastructure, internal conditions, and environmental factors.