Parenting Journal · Volume 1 · Issue 2 · Licensed source edition
Rethinking Giftedness in the Age of Generative AI: A Relational Epistemic Agency Model for Advanced Learners
Originally published 2026-10-07 · Journal of Intelligence
Multidisciplinary Digital Publishing Institute (MDPI) · DOI 10.3390/jintelligence14100247 ↗
AI / system type
Generative AI/LLM; theoretical agency model
Child-facing evidenceExamines children or child-focused systems. Transfer to everyday family life must be assessed separately.
The AI connection
Examines GenAI cognitive offloading, task distribution and epistemic agency.
Why this reading matters
Provides a precise vocabulary for evaluating ownership and transfer instead of judging polished output alone.
Editorial reading guide · Independence
What can my child still explain and do after the AI is removed?
Maps to Independence by separating AI-supported performance from independent competence and intellectual ownership.
Study context
Single-author synthesis developing REAM-AL for advanced learners
Age / stage: Advanced children and adolescents; no new child cohort
Read with three questions
- How does the model distinguish extension from developmental substitution?
- Who makes the epistemic decisions in a joint task?
- What independent or transfer task could test the child’s own understanding?
Keep the limits in view
Untested theoretical model, single-author source selection and mixed proximity of underlying evidence; no demonstrated benefit for gifted children.
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Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.
Çiğdem Nilüfer Umar (2026). Rethinking Giftedness in the Age of Generative AI: A Relational Epistemic Agency Model for Advanced Learners Journal of Intelligence. https://doi.org/10.3390/jintelligence14100247
Permissions checked against the saved article notice; repository publication notices screened 2026-11-04. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.