The mismatch between courses offered by Higher Education Institutions (HEIs) and regional labor market demands continues to undermine youth employability, particularly in developing contexts such as Angola. Traditional approaches to curriculum personalization, including reactive Generative AI, remain insufficient to address the need for dynamic and context-aware adaptation. This study examines the suitability of Agentic AI for curriculum personalization, highlighting its proactive autonomy, decision-making, and continuous learning capabilities. It proposes the “Agentic AI for Personalization with Socioeconomic Awareness” framework, integrating ethical governance, offline-first functionality for low-connectivity environments, and alignment with local employability ecosystems, combining technologies such as LLMs, MCP, Big Data, A2A, RAG, and Decision Support Systems. Agentic AI thus represents a paradigm shift from passive support tools to intelligent cognitive partners in education, though its implementation requires robust empirical validation and equity-driven safeguards to mitigate risks such as digital exclusion.
Short Bio:
Nkanga Pedro is enrolled in an international PhD programme in Computer Science and Engineering at the University of Beira Interior (Portugal), where he also earned his master’s degree. His doctoral thesis focuses on the application of Agentic AI for curriculum personalization in higher education in Angola. He is a teaching assistant at Kimpa Vita University (Angola) in the Department of Computer Engineering, lecturing in Databases and Artificial Intelligence.
