Learning principles / Metacognition and self-regulation

Metacognition and self-regulation

Metacognition is thinking about one's own thinking. Self-regulated learning means planning, monitoring and adjusting one's own learning.

Items below are tagged by keyword rules when their title or summary mentions this principle. A tag means the item discusses it, not that the item is good evidence about it.

Tracked items (2)

Level 1: Descriptive or exploratoryLearners: K-12 studentsOutcome: Learning or achievementPreprintSmall or impreciseShort exposure

Changes in Help-Seeking Strategies Predict unaided Performance during AI-based Mathematical Learning (opens in new tab)

2026-06-26 · arXiv (back catalog) · Study (preprint)

Generative AI systems (GenAI) are increasingly used by students as learning companions, yet little is known about how they regulate these tools in open-ended learning settings, where the goal is to improve understanding for later independent performance. This study examined Grade-9 students' use of a general-purpose...

Metacognition and self-regulationTutoring and personalization
Why this label for Changes in Help-Seeking Strategies Predict unaided Performance during AI-based M
  • Level 1: Descriptive or exploratory: Consensus level confirmed against the methodology.
  • Review status: Confirmed against the published method (AI-assisted review)
  • Grader A: R6 imprecision: the controlled association uses 89 learners with computable trajectories and reports no interval or power information.
  • Grader B: R5 correlational design with pre-test control (Level 2 ceiling) on Grade-9 students, lowered one level by R6 imprecision (analytic n=95/89, no interval reported)
  • Rule version: METHODOLOGY v0.3, pipeline v1, rules rules-v0.4
  • Metacognition and self-regulation: matched 'self-regulated'
  • Tutoring and personalization: matched 'tutor'

Graded blind by two AI graders against our published method. Confirmed against the published method (AI-assisted review) Method

Technical testLearners: Adults not in a learning role (raters)Outcome: Model performancePeer-reviewed (journal reference listed)Simulated learners

Towards Reliable Generative AI-Driven Scaffolding: Reducing Hallucinations and Enhancing Quality in Self-Regulated Learning Support (opens in new tab)

2025-08-08 · arXiv (back catalog) · Study

Generative Artificial Intelligence (GenAI) holds a potential to advance existing educational technologies with capabilities to automatically generate personalised scaffolds that support students' self-regulated learning (SRL). While advancements in large language models (LLMs) promise improvements in the adaptability...

Metacognition and self-regulation
Why this label for Towards Reliable Generative AI-Driven Scaffolding: Reducing Hallucinations and E
  • Technical test: Two independent AI graders gave the same level.
  • Review status: Confirmed against the published method (AI-assisted review): both graders agreed
  • Grader A: R4 real-learner gate: evaluation datasets and expert judgments assess generated scaffolds, without measuring student learning.
  • Grader B: R4 real-learner gate: LLM-generated SRL scaffolds evaluated by multi-agent and LLM-as-judge systems against expert ratings; no learner outcomes (Computers & Education).
  • Rule version: METHODOLOGY v0.3, pipeline v1, rules rules-v0.4
  • Metacognition and self-regulation: matched 'Self-Regulated'

Graded blind by two AI graders against our published method. Confirmed against the published method (AI-assisted review): both graders agreed Method