Agentic AI Ecosystems in Higher Education: A Perspective on AI Agents to Emerging Inclusive, Agentic Multi-Agent AI Framework for Learning, Teaching and Institutional Intelligence Sudarshan et al. (2026) — Multiple institutions. 50-page perspective paper. 📄 Full text (arXiv)
Summary
This perspective paper advances the vision of integrated multi-agent AI platforms for higher education, arguing that current AI deployments remain fragmented and task-specific while institutions need coordinated, ecosystem-level intelligence. Through a thematic analysis of existing literature, the authors identify four dominant themes:
1. Task-specific fragmented AI tools — most deployments address isolated functions (grading, tutoring, scheduling) without cross-functional integration. 2. Transition from single-agent to multi-agent systems — the shift from standalone AI assistants to coordinated multi-agent-instructional-design architectures. 3. Limited cross-functional integration — no current platform integrates learning, teaching, and administrative operations, unlike the vision in ai-higher-ed-bridge-gap. 4. Insufficient focus on inclusivity and accessibility — existing tools rarely address special-education needs or diverse learner populations.
The primary contribution is the explicit incorporation of inclusive learning perspectives into agentic multi-agent design. The framework envisions autonomous, goal-driven agents providing adaptive, multimodal interventions for diverse learners, including those with special educational needs — connecting to equity-in-ai-education and culturally-relevant-pedagogy.
The paper raises critical questions: Can agentic AI represent the next generation of intelligent systems in tertiary education? Can they collectively support seamless, coordinated operations across higher-ed teaching, learning, and administration? This perspective complements multi-agent-llm-social-learning by extending agentic coordination to the institutional level, moving beyond institutional-change-framework-ai to propose concrete architectures.
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