Aug 2026· Development and Learning in Organizations: an international journal· 0 citations· 5 references
TL;DR
It is demonstrated that the educational value of GenAI depends on whether it supports rather than substitutes meaningful cognitive engagement, and applies the Tool-Tutor-Crutch framework to provide a practical lens for promoting cognitive resilience and responsible human-GenAI collaboration in higher education.
Abstract
This paper explores cognitive offloading in higher education arising from the increasing use of Generative Artificial Intelligence (GenAI). It analyses the dual role of GenAI, recognizing its potential to enhance learning while posing risks to critical thinking, independent reasoning, and cognitive resilience.
This paper synthesizes literature on GenAI, cognitive offloading, and critical thinking, to examine the implications of GenAI-supported learning for higher education and learning and development professionals.
GenAI offers educational benefits, including personalized support, accessibility, and improved learning efficiency. However, excessive reliance on GenAI-generated content may encourage cognitive offloading, limiting critical reflection, reasoning, and independent problem-solving. By applying the Tool-Tutor-Crutch framework, this paper demonstrates that the educational value of GenAI depends on whether it supports rather than substitutes meaningful cognitive engagement.
As a conceptual viewpoint, this paper does not present empirical evidence on the effects of GenAI on cognitive offloading. Future research should examine how GenAI use influences critical thinking, cognitive resilience, and learning outcomes across different educational contexts and levels of GenAI dependence.
Educational institutions should design learning and assessment practices that foster critical evaluation, cognitive resilience, and ethical human-GenAI collaboration, ensuring that GenAI functions as a tool and tutor rather than a crutch.
This paper moves the discussion beyond academic integrity and technology integration by positioning cognitive offloading as a pedagogical challenge. It applies the Tool-Tutor-Crutch framework to provide a practical lens for promoting cognitive resilience and responsible human-GenAI collaboration in higher education.
The rapid integration of Artificial Intelligence (AI) into education has transformed the way students learn, solve problems, and access information. AI-powered tools such as ChatGPT, Gemini, Microsoft Copilot, and intelligent tutoring systems have emerged as valuable learning companions, providing instant explanations,...
Neha Nesnin, Nedha Haris, J. V. et al.· International Journal of Tec...· 0 citations
It is suggested that the moderate achievement gains reported for GenAI may mask weaker retention and transfer and poorer metacognitive calibration, especially under unstructured use, and that structured tasks requiring learners to explain or critique AI output should reduce maladaptive offloading.
Gaurav Shaileshkumar Dave· Quarterly review of distance...· 0 citations
Generative Artificial Intelligence (Gen‐AI) is reshaping higher education by offering adaptive support, instant feedback, and greater learner autonomy. Despite the increasing use of tools such as ChatGPT in university learning, empirical evidence on how their motivational affordances influence academic resilience...
N. Rehman, Xiao Huang, Yan-Jun Zhang et al.· Journal of Computer Assisted...· 3 citations
It is concluded that while AI-driven scaffolded feedback holds significant promise for enhancing learning in K-8 classrooms, further research is needed to explore its long-term effects and to develop evidence-based strategies for effective implementation, particularly at the elementary school level.
Connie Ngujo, Precious Albao, Regina P. Galigao· International journal of hum...· 0 citations
The research adopts an integrative literature review and conceptual analysis approach. International studies on AI-supported education are synthesized alongside principles of educational psychology, particularly Bloom’s 3H framework (Head, Heart, Hand), to construct a context-sensitive model suitable for Indian primary...
The popularisation of artificial intelligence assisted learning tools in higher education gives new technical circumstances for the promotion of college students’ autonomous learning ability. This research studies the enabling mechanism and possible risks of AI-assisted learning for autonomous learning development from...
Zi-Ye Zhang· International Journal of Edu...· 0 citations
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