Integrating Instructional Technology and Coaching to Enhance Professional Learning Spaces in High-Risk Petrochemical Environments

Jahanshahi, Mojgan; Hassanpoor, Akbar; Sheikholeslami Kandalousi, Nader

doi:10.22034/lss.2026.600303.1080

Integrating Instructional Technology and Coaching to Enhance Professional Learning Spaces in High-Risk Petrochemical Environments

Document Type : Original Research Manuscripts

Authors

Mojgan Jahanshahi ¹

Akbar Hassanpoor ²

Nader Sheikholeslami Kandalousi ³

¹ PhD Student, Department of Public Administration, SR.C., Islamic Azad University, Tehran, Iran.

² Department of Human Resource Management, Faculty of Management, University of Kharazmi, Tehran, Iran

³ Department of Public Administration,NT.C.,Islamic Azad University, Tehran, Iran

10.22034/lss.2026.600303.1080

Abstract

The integration of Artificial Intelligence (AI)—specifically Large Language Models (LLMs) and Graph Neural Networks (GNNs)—has fundamentally transformed knowledge processing in higher education. Despite rapid adoption, a critical gap exists between technological capability and institutional implementation. This systematic literature review investigates the mechanisms of AI-driven knowledge processing at both micro and macro levels within academic settings. Adhering to the PRISMA framework, this study synthesizes 56 peer-reviewed articles selected from an initial database of 9,894 records to identify key trends, pedagogical implications, and organizational challenges. Findings reveal that while AI enhances decision-support systems and personalized learning, its deployment is hampered by issues of data governance, algorithmic bias, and institutional heterogeneity. The analysis demonstrates that effective knowledge processing requires a shift from mere adoption to a strategic, AI-governance-centered approach. Furthermore, the results highlight a significant lack of model robustness analysis, suggesting that future research must prioritize the stability and long-term sustainability of AI applications in academic curricula. This paper contributes to the field by providing a comprehensive framework for institutional decision-makers to navigate the complexities of AI integration, ultimately bridging the gap between theoretical knowledge processing and practical, actionable educational strategies

Keywords

Trainer

Trainer-oriented organization

Petrochemical industry

Content analysis

Subjects

digital curriculum

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