现代教育技术2026，Vol.36Issue(8)：118-127,10.DOI:10.3969/j.issn.1009-8097.2026.08.012
如何应对生成式人工智能引发的认知逃逸?
How to Address Cognitive Evasion Induced by Generative Artificial Intelligence?
摘要
Abstract
While generative artificial intelligence(GenAI)empowers higher education practice,it also induces students'cognitive evasion by dispeling desirable difficulties.Confronted with instructional intervention,such"cognitive evasion"can easily escalate into"feigned compliance",which can hardly be identified and curbed by traditional outcome-oriented assessment.Accordingly,taking the"BROKE Incident"as its starting point,this paper adopts action research,designs the analytical framework for ecological intervention,and implements three rounds of progressive ecological interventions.The findings reveal that cognitive evasion is essentially learners'abdication of deep cognitive processing,which can easily evolve into feigned compliance under supervisory pressure.Ecological intervention with three-dimensional collaboration of value,mechanism and power can reduce the benefit space for cognitive evasion and feigned compliance,thereby restoring conditions for desirable difficulties to take place.Under ecological intervention,three typical reaction patterns emerge:patterned transformation,strategic fixation,and compliance adaptation.Based on this,four pathways are proposed to address cognitive evasion induced by GenAI effectively:clarifying cognitive boundaries of human-machine collaboration,preserving process evidence of key nodes,employing diverse questioning,and engaging in reflective revision of works.The research of this paper helps sustain desirable difficulties and foster deep learning in the AI era,also can provide references for bounded human-machine collaborative learning.关键词
生成式人工智能/认知逃逸/假意顺从/生态化干预/行动研究Key words
GenAI/cognitive evasion/feigned compliance/ecological intervention/action research分类
社会科学引用本文复制引用
陈颖,张芳华,王蕾茜,王烨烨..如何应对生成式人工智能引发的认知逃逸?[J].现代教育技术,2026,36(8):118-127,10.基金项目
本文受国家自然科学基金项目"城市人才引进政策对企业创新的影响研究"(项目编号:72162033)、福建省终身教育基金项目"终身教育视角下数字赋能农村创新创业人才培养模式研究"(项目编号:ZS25007)资助. （项目编号:72162033）
