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.

翻译：人工智能（AI）智能体在高等教育中的整合正在改变教学、学习与行政流程。尽管现有AI智能体能有效支持单项任务，但其应用仍呈碎片化状态，难以处理教育机构的复杂性需求。这凸显出一个显著的研究空白：缺乏能够跨多种教育功能实现协调规划、推理与自适应决策的集成式生态系统级能动型多智能体AI平台。本文以前瞻性视角探讨高等教育中的能动型多智能体AI平台，该平台由互联自主、目标驱动的智能体组成，支持学习、教学与机构运营。文章回应了兼具时效性与关键性的问题：能动型AI能否成为高等教育的下一代智能系统？它们能否集体支持教学、学习与行政支持的流畅协调运作？此类系统在何种程度上能够为具有特殊教育需求的不同学习者营造包容公平的学习环境？为夯实这一视角，我们对现有文献进行主题分析，识别出四个主导主题：任务特化的碎片化AI工具、从单智能体向多智能体系统的转变、有限的功能间整合，以及对包容性与可及性关注的不足。研究结果揭示了当前AI实施与整体性、以学习者为中心的教育生态系统需求之间的明显差距。本文综合了相关挑战，并概述了未来可扩展、人机协同且包容的能动型AI平台的研究方向。其核心贡献在于融入包容性学习视角，阐明了协调一致的能动型多智能体平台如何通过自适应、多模态干预来支持多元学习者。