Position AI as an instrumental adjunct that amplifies, rather than attenuates, students' direct experiential engagement¶
Strategy · All strategies
Evidence · no claims cited
Description¶
Drawing on the Neidan framework, this strategy holds that algorithmic systems in education should "serve to amplify, rather than attenuate, the student's direct experiential engagement with knowledge." AI may function as a refined implement supporting interior cultivation, but never as a cognitive surrogate or thought controller. Delegating the work of thinking to machines is framed as severing the connection between consciousness and cosmos, violating the tenet that self-cultivation requires the whole person to remain cognitively present.
Design Implications¶
Context¶
Requirements¶
- Educational designs must preserve learning as an embodied, effortful, self-transformative practice; learners must resist cognitive offloading
Constraints¶
- The article frames this as a Daoist-derived normative stance, not a tested intervention; it acknowledges reliance on AI risks degrading critical thinking
Target Learners¶
- educators and students in AI-mediated educational settings
Target Learning Goals¶
- preserving the integrity of the learning process and learners' cognitive agency
Affordances¶
- Zhenren New Myth Ai Education
Related Strategies¶
Examples¶
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Key Sources¶
- Qin Xie. (2026). Alternative AI Philosophy: Daoism as Method for AI in Education. https://arxiv.org/abs/2609.10842
Page metadata
| Field | Value |
|---|---|
type |
strategy |
id |
ai-as-instrumental-adjunct-not-cognitive-surrogate |
title |
Position AI as an instrumental adjunct that amplifies, rather than attenuates, students' direct experiential engagement |
description |
Drawing on the Neidan framework, this strategy holds that algorithmic systems in education should "serve to amplify, rather than attenuate, the student's direct experiential engagement with knowledge." AI may function... |
status |
review |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — qin-xie-2026 |
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