重新思考高等教育：从固定课程到学习图谱（Learnity Graphs）
Rethinking Higher Education: From Fixed Curricula to Learnity Graphs
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中文总结 AI 辅助
本文针对高等教育在AI时代的转型需求，提出以学习图谱为核心的终身学习框架，整合多类学习以拓展传统课程的培养维度。
中文摘要 AI 辅助
高等教育正处于转折点。在知识日益可及且通常由先进人工智能（AI）介导的时代，传统课程模式的价值值得重新审视。这并不意味着要取代扎实的学术研究，大学在提供基础知识、理论深度和概念基础方面依然至关重要。挑战在于，要在这些教育层面之外拓展学习环境，以培养创造力、跨学科融合、实践经验，尤其是长期发展能力。本文中，我们介绍了一种终身学习框架，该框架整合了学术、专业和个人学习，核心是一个我们称为学习图谱（Learnity Graphs）的新概念——它是将学习表示为知识、技能、经验和实际制品相互关联单元的结构化形式，同时辅以呈现和利用该图谱的方法。
英文摘要
Higher education stands at a turning point. In an era where knowledge is increasingly accessible and which is, more often than not, mediated by advanced Artificial Intelligence (AI), the value of traditional curricula models warrants reconsideration. This does not imply that one should replace thorough academic studies. Universities remain essential in providing foundational knowledge, theoretical depth and conceptual grounding. The challenge is to extend these educational facets with learning environments that foster creativity, interdisciplinary integration, hands-on experience, and especially long-term development. In this paper, we introduce a lifelong learning framework that integrates academic, professional, and personal learning, centered on a new concept that we term learnity graphs, a structured representation of learning as interconnected units of knowledge, skills, experience, and actual artifacts, coupled with a method for presenting, and leveraging it.
