Regulating the AI Tutor: Intentions, Help-Seeking, and Self-Regulated Learning in Adolescent GenAI Use
Generative AI (GenAI) tools are now common learning companions for adolescents, yet how they regulate their use during authentic learning tasks remains poorly understood. Self-regulated learning (SRL) and high-level help-seeking (HS) are commonly proposed as safeguards against passive or shortcut-oriented use, but most empirical studies focus on aggregate learning outcomes rather than these moment-to-moment processes during AI-supported learning. This work-in-progress examines open-ended convers
Record details
Published: 7 June 2026
Source: arXiv
Category: Research
Topics: Regulation
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
From Prompting to Epistemic Proactivity: Temporal Trajectories of Student-AI Interaction in Mathematics Learning
arXiv · 26 June 2026
Reinforcement Learning for Flow-Matching Policies with Density Transport
arXiv · 7 June 2026
Friend or Foe? Language as an ideological switch in open-weight LLMs under Russian disinformation stress
arXiv · 7 June 2026
Testing the Black Box: Structural Barriers to Independent Evaluation of Consumer-Facing Health LLMs
arXiv · 7 June 2026
PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems
arXiv · 7 June 2026
Ethics and EU AI Act in Cases of Work Disability Risk and Alzheimer's Disease Risk Prediction
arXiv · 7 June 2026
How to cite this record
ethics.ai (7 June 2026), “Regulating the AI Tutor: Intentions, Help-Seeking, and Self-Regulated Learning in Adolescent GenAI Use,” evidence record 1294, https://ethics.ai/record/1294 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.