Reconstructing Learning Sovereignty in the Post-Education Era through Knowledge Narrative Reconfiguration

透過知識敘事再配置重建後教育時代學習主權
Reconstructing Learning Sovereignty in the Post-Education Era through Knowledge Narrative Reconfiguration

ISBN 978-626-01-5777-7
作者:Gabriel Chen

© 2025 Gabriel Chen. All rights reserved.

摘要 Abstract

中文摘要

在後教育時代,學習不再受限於學校制度,卻同時失去主權。當知識被平台化、內容被演算法排序、理解被外包給生成系統,學習者逐漸失去對「學什麼、為何學、如何判斷是否已理解」的控制權。此一現象常被誤解為自由化的結果,實則是學習主權在結構上被剝離。本書提出「知識敘事再配置(Knowledge Narrative Reconfiguration)」作為重建學習主權的核心方法,將敘事視為知識與學習者之間的治理結構。透過重新配置知識的敘事邊界、判斷責任與行動意義,學習主權得以從制度瓦解後的真空狀態,轉化為可被個體與系統共同承載的能力。

English Abstract

In the post-education era, learning is no longer constrained by institutional schooling, yet it simultaneously loses sovereignty. As knowledge becomes platformized, content is algorithmically ordered, and comprehension is outsourced to generative systems, learners lose control over what to learn, why to learn, and how to judge understanding. This condition is often misinterpreted as liberation, but it represents structural deprivation of learning sovereignty. This technical brief introduces Knowledge Narrative Reconfiguration as a method for reconstructing learning sovereignty by treating narrative as a governance structure between knowledge and learners. Through reconfiguring narrative boundaries, judgment responsibility, and action meaning, learning sovereignty transitions from a post-institutional vacuum into a capability jointly carried by individuals and systems.

關鍵詞 Keywords

• 學習主權(Learning Sovereignty)
• 後教育時代(Post-Education Era)
• 知識敘事再配置(Knowledge Narrative Reconfiguration)
• 平台化學習(Platformized Learning)
• 判斷外包(Judgment Outsourcing)
• 敘事治理(Narrative Governance)
• 理解責任(Responsibility for Understanding)
• 教育轉型(Educational Transformation)

目錄 Table of Contents

1. 何謂後教育時代
   What Defines the Post-Education Era
2. 學習自由與學習主權的錯置
   The Misalignment between Learning Freedom and Sovereignty
3. 知識平台化如何剝奪學習主權
   How Knowledge Platformization Deprives Learning Sovereignty
4. 知識敘事再配置的核心結構
   Core Structures of Knowledge Narrative Reconfiguration
5. 敘事再配置如何恢復判斷責任
   How Narrative Reconfiguration Restores Judgment Responsibility
6. 後教育時代的學習治理模型
   A Governance Model for Learning in the Post-Education Era
7. 知識敘事再配置的設計與部署原則
   Design and Deployment Principles of Knowledge Narrative Reconfiguration
8. 結論:沒有主權的學習只是消費
   Conclusion: Learning without Sovereignty Is Mere Consumption

其他相關資訊請參閱NarrQuest Tone Uprising Journal

https://narrquest.wordpress.com/

https://scholar.google.com/citations?user=zS4SSUkAAAAJ&hl=en

https://orcid.org/0009-0006-0154-6402

This book is one of the following technical series.

模組 A|人 × AI × 決策信任(63–66)

63. 以敘事可解釋性重構人工智慧決策信任的方法

64. 透過責任敘事配置穩定人工智慧輔助決策的歸責機制

65. 以敘事對齊降低人機協作中誤解成本的系統方法

66. 透過集體敘事穩定化多代理理性系統的失控風險

模組 B|科學 × 政策 × 行動落差(67–70)

67. 以敘事行動層將科學證據轉化為可執行政策的方法

68. 透過敘事介面銜接知識、決策與治理流程的設計原則

69. 以風險敘事校準高風險科技集體判斷的治理方法

70. 透過語義重構使永續指標轉化為實際行為的敘事模型

模組 C|教育 × 認知 × 動機崩解(71–74)

71. 以動機敘事工程修復現代學習系統投入失效的方法

72. 透過敘事密度調控緩解人工智慧內容引發的認知疲勞

73. 以敘事負荷模型穩定理解歷程避免認知崩解的方法

74. 透過知識敘事再配置重建後教育時代學習主權

模組 D|組織 × 協作 × 語義錯位(75–77)

75. 以語義敘事對齊消除組織行動分歧的結構方法

76. 透過敘事同步機制修復跨部門運作失衡

77. 以協作敘事調控改善高密度會議下的決策品質

模組 E|公共溝通 × 去極化 × 社會穩定(78–80)

78. 以去極化敘事工程降低社會衝突強度的方法

79. 透過語氣治理穩定公共理解而不改變事實內容

80. 以集體敘事穩定機制防止社會系統性崩潰

The NarrQuest Judgment Infrastructure Series addresses a systematically neglected problem in high-density systems: when models, knowledge, institutions, and communication capacity become saturated, how can judgment remain bearable, refusible, accountable, and closable. Compared to the previous series, which primarily articulated how narrative shapes understanding, meaning, and sovereignty, this series advances to a more critical threshold—whether judgment retains minimum governability when understanding alone can no longer keep systems operational. Narrative is no longer treated as a cognitive or interpretive tool, but redefined as a structural function: Judgment Infrastructure. The series specifies four non-negotiable minimum conditions—exitability, refusability, accountability, and closure—and applies them across engineered analyses of human–AI decision support, science-to-policy translation, education and cognition, organizational collaboration, and public communication. In doing so, it moves narrative from theory to structural floor, clarifying which systems, when these conditions are unmet, simply lack the legitimacy to claim trustworthy decisions. Here, stability is not consensus; it is the capacity to carry judgment through deep disagreement and uncertainty without collapse.