AI-Driven Content Intelligence in Higher Education: Transforming Institutional Knowledge Management
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V3I2P115Keywords:
AI-Driven Content Intelligence, Higher Education, Institutional Knowledge Management, Natural Language Processing, Machine Learning, Semantic Analytics, Knowledge Graphs, Digital TransformationAbstract
Higher education institutions generate vast and diverse volumes of digital content, including academic resources, administrative records, research outputs, and regulatory documentation. Managing this heterogeneous and largely unstructured information remains a significant challenge for traditional knowledge management systems, which primarily focus on storage and keyword-based retrieval with limited semantic understanding. This paper presents an AI-driven content intelligence approach aimed at transforming institutional knowledge management in higher education. The proposed framework integrates machine learning, natural language processing, and semantic technologies to automate content ingestion, classification, enrichment, and governance across the institutional content lifecycle. Core capabilities such as semantic extraction, topic modeling, document classification, named entity recognition, and knowledge graph construction enable deeper contextual understanding and intelligent discovery of institutional knowledge assets.
The architecture further embeds governance mechanisms, including content versioning, access control, audit logging, and policy enforcement, ensuring transparency, accountability, and regulatory compliance. By integrating with existing enterprise systems such as learning management systems, research information systems, and digital repositories, the framework supports scalability and interoperability without disrupting established workflows. Experimental evaluation, grounded in 2022-era educational text mining literature, demonstrates that AI-driven content intelligence significantly outperforms traditional keyword- and rule-based knowledge management systems in both classification accuracy and retrieval effectiveness. Overall, the study highlights how AI-driven content intelligence can enhance knowledge reuse, support evidence-based decision-making, and strengthen institutional memory, positioning it as a strategic enabler of digital transformation in higher education
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