What Remains Self-Directed? Revisiting Andragogy Through Cognitive Delegation in Generative AI-Mediated Adult Learning

Synthesis: Hyoung (2026) revisits Knowles's six andragogical assumptions under AI-mediated cognitive delegation. Because generative AI can participate in identifying needs, setting goals, interpreting information, solving problems, producing outputs, and evaluating performance, the paper argues that behavioral independence is insufficient evidence of meaningful self-direction. Five analytical dimensions are derived — need and goal ownership, delegation control, epistemic calibration, cognitive recoverability and transfer, and motivational autonomy — to assess whether learners remain genuinely self-directed. The work bridges Adult Learning with Cognitive Offloading, Self Regulated Learning, and appropriate-reliance research for Adult Learning in the Generative AI era.

Andragogy Meets Cognitive Delegation

Self-direction is foundational to adult and lifelong learning, yet generative AI can now participate in every stage of the learning process. This conceptual paper revisits Knowles's andragogical assumptions, arguing that completing a task independently of visible AI help does not necessarily mean the learner directed the cognitive work.

Five Dimensions of Self-Direction

The paper integrates adult-learning theory with Cognitive Offloading, extended and distributed cognition, human-automation function allocation, agentic information-system delegation, and appropriate reliance. It derives five analytical dimensions: need and goal ownership, delegation control, epistemic calibration, cognitive recoverability and transfer, and motivational autonomy. These operationalize what meaningful self-direction requires once cognitive work is delegated to AI.

Implications for Adult AIED

The framework challenges educators to evaluate not just outputs but the distribution of cognitive agency, connecting Agency, Metacognition, Trust Calibration, and Motivation in Lifelong Learning. It reframes Adult Learning as an active design goal rather than an assumed default in AI-mediated learning environments.

Connected Concepts

• Self Directed Learning
• Adult Learning
• Self Regulated Learning
• Cognitive Offloading
• Agency
• Lifelong Learning
• Generative AI
• Metacognition
• Trust Calibration
• Motivation

Connected Articles

• AI Adult Learning Guidelines Dis2026
• AI Lifelong Learning Policy
• Cognitive Offloading LLM Synthesis Writing
• GenAI Over Reliance Learning 2026
• Agency Gap AI Writing

Citation

Hyoung, J. J. (2026). What remains self-directed? Revisiting andragogy through cognitive delegation in generative AI-mediated adult learning. EdArXiv preprint.