Advanced learners may benefit from learner-controlled selection of learning tasks and levels of generality¶
Claim · All claims
Evidence · 1 study · theoreticalr3·q1
Currency · newest study 2010 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q1 i? The authors claim advanced learners may significantly benefit from environments giving students freedom in selecting and structuring learning tasks or the level of generality considered, fostering metacognitive and self-regulation skills. → Slava Kalyuga 2010
Evidence¶
Slava Kalyuga 2010¶
Slava Kalyuga, Alexander Renkl, Fred Paas. (2010). Facilitating Flexible Problem Solving: A Cognitive Load Perspective. Educational Psychology Review. https://doi.org/10.1007/s10648-010-9132-9
q1 · i? · theoretical · r3
Theoretical argument by the authors, not a tested result in this paper. They caution that learner-controlled instruction "may not be suitable during the early stages of learning complex skills" because low-expertise students might not use control appropriately.
"we claim that advanced learners may significantly benefit from learning environments that provide more freedom for students in selecting and structuring their learning tasks or, in the present case, the level of generality that is considered"
Discussion¶
Related Claims¶
- Students report heightened autonomy in English learning through self-directed regulation, personalized feedback, and active evaluation of ChatGPT suggestions — related
- Self-regulated learning improves achievement — a broader claim this one bears on
- AI-directed problem selection may diminish the metacognitive dimension of self-testing while preserving retrieval practice — related
- Evidence suggests over-reliance on generative AI may negatively affect students' self-regulated learning behaviors, potentially harming retention and transfer to novel contexts — related
- Strategy Instruction Improves Learning — a broader claim this one bears on
- Frequent generative AI use for essay writing can foster metacognitive laziness, reducing intrinsic motivation and learning autonomy — related
- Metacognitive prompts improve learning — related
- Shared control combined with high task variability improved transfer, while system control was better under low variability
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
learner-control-advanced-learners-flexibility |
title |
Advanced learners may benefit from learner-controlled selection of learning tasks and levels of generality |
description |
Advanced learners may benefit from learner-controlled selection of learning tasks and levels of generality |
status |
review |
evidence_strength |
weak |
newest_evidence |
2010 |
generated |
by process:wiki-ingest on 2026-10-21 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — slava-kalyuga-2010 |
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