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ARXIV:2605.14266 · AGENTS · SUBMITTED 15 MAY · 20:14 UTC · FRESHNESS FRESH
ARXIV:2605.14266AGENTSSUBMITTED 15 MAY · 20:14 UTCFRESHNESS FRESHVidya K Sudarshan · Anushka Sisodia · Reshma A Ramachandra · Sia Batra · Josephine Chong Leng Leng · arXiv
A conceptual framework for integrated agentic multi-agent AI platforms in higher education to enhance learning, teaching, and institutional intelligence.
Opportunity summary
Pain A conceptual framework for integrated agentic multi-agent AI platforms in higher education to enhance learning, teaching, and institutional intelligence.
Evidence 0 refs | 0 sources | 0% coverage
Blocker Evidence unverified
A conceptual framework for integrated agentic multi-agent AI platforms in higher education to enhance learning, teaching, and institutional intelligence. Although existing AI agents effectively support individual tasks, their implementation remains fragmented and inefficient for…
Integration of artificial intelligent (AI) agents in higher education is transforming teaching, learning and administrative processes. Although existing AI agents effectively support individual tasks, their implementation remains fragmented and inefficient for handling the complexity…
ScienceToStartup currently rates this 2.0/10 on the public viability pass. Although existing AI agents effectively support individual tasks, their implementation remains fragmented and inefficient for handling the complexity of educational institutions.
Agents moved forward this cycle; last verified May 2026. Public score 2.0/10.
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A conceptual framework for integrated agentic multi-agent AI platforms in higher education to enhance learning, teaching, and institutional intelligence.
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10.48550/arXiv.2605.14266A conceptual framework for integrated agentic multi-agent AI platforms in higher education to enhance learning, teaching, and institutional intelligence.
Abstract
Integration of artificial intelligent (AI) agents in higher education is transforming teaching, learning and administrative processes. Although existing AI agents effectively support individual tasks, their implementation remains fragmented and inefficient for handling the complexity of educational institutions. This highlights a significant research gap: the lack of integrated eco-system-level agentic multi-agent AI platform capable of coordinated planning, reasoning, and adaptive decision-making across multiple educational functions. This paper presents a forward-looking perspective on agentic multi-agent AI platform in higher education, consisting interconnected autonomous, goal driven agents that support learning, teaching, and institutional operations. It addresses timely and critical questions: Can agentic AI represent the next generation of intelligent systems in tertiary education? Can they collectively support seamless coordinated operations across teaching, learning and administrative support? To what extent can such systems foster inclusive and equitable learning for diverse learners with special educational needs? To ground this perspective, a thematic analysis of existing literature identifies four dominant themes: task-specific fragmented AI tools, the transition from single-agent to multi-agent systems, limited cross-functional integration, and insufficient focus on inclusivity and accessibility. Findings reveal a clear gap between current AI implementations and the needs of holistic, learner-centered educational ecosystem. The paper synthesizes challenges and outlines future research directions for scalable human-aligned, and inclusive agentic AI platform. The significant contribution is the incorporation of inclusive learning perspectives, highlighting how coordinated agentic multi-agent platform can support diverse learners through adaptive, multimodal interventions.
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PROBLEM
A conceptual framework for integrated agentic multi-agent AI platforms in higher education to enhance learning, teaching, and institutional intelligence. Although existing AI agents effectively support individual tasks, their implementation remains fragmented and inefficient for...
METHOD
Integration of artificial intelligent (AI) agents in higher education is transforming teaching, learning and administrative processes. Although existing AI agents effectively support individual tasks, their implementation remains fragmented and inefficient for handling the compl...
RESULT
ScienceToStartup currently rates this 2.0/10 on the public viability pass. Although existing AI agents effectively support individual tasks, their implementation remains fragmented and inefficient for handling the complexity of educational institutions.
WHY NOW
Agents moved forward this cycle; last verified May 2026. Public score 2.0/10.
Abstract-backed public claims while anchored extraction refreshes.
A conceptual framework for integrated agentic multi-agent AI platforms in higher education to enhance learning, teaching, and institutional intelligence. Although existing AI agents effectively support individual tasks, their implementation remains fragmented and inefficient for handling the complexity of educational institutions.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
Integration of artificial intelligent (AI) agents in higher education is transforming teaching, learning and administrative processes. Although existing AI agents effectively support individual tasks, their implementation remains fragmented and inefficient for handling the complexity of educational institutions.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
ScienceToStartup currently rates this 2.0/10 on the public viability pass. Although existing AI agents effectively support individual tasks, their implementation remains fragmented and inefficient for handling the complexity of educational institutions.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
Agents moved forward this cycle; last verified May 2026. Public score 2.0/10.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
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A conceptual framework for integrated agentic multi-agent AI platforms in higher education to enhance learning, teaching, and institutional intelligence.
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Commercial read
2.0/10 public viability
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