Actionable companion · Feedback & scaffolding
Learning with agency: Relatedness as a contextual catalyst in motor learning: the socially embedded motor learning framework
AI-assisted editorial implementation guide, separate from the original research. Proposed actions are not claims or recommendations attributed to the source authors. No independent peer review of this guide is asserted.
Evidence and context
Title and abstract screening; stage labels describe reported settings, not verified numerical ages. Design labels require full-text appraisal. Reported stage(s): Age / stage not established. Verify the participant population and task before transferring the findings.
Original authors’ abstract, reproduced under the linked source license:
Abstract Motor learning research has predominantly modeled the learner as an isolated information processor, yielding robust insights into practice schedules and feedback design while leaving the social conditions of skill acquisition comparatively underexamined. This article applies Self-Determination Theory (SDT) to reframe motor learning as a socially embedded process and advances the hypothesis that relatedness—understood here as the learner’s sense of being cared for, respected, and connected to relevant others—functions as a contextual catalyst shaping how autonomy and competence support translate into learning gains. Three testable propositions are advanced: (a) an amplification hypothesis, predicting that autonomy- and competence-supportive practices yield stronger learning effects when relatedness satisfaction is high; (b) a safety-to-exploration pathway, positing that psychological safety mediates the relation between relatedness satisfaction and adaptive learning behaviors such as error tolerance and strategic variability; and (c) a cooperative-structure advantage, proposing that dyadic and team-based formats outperform individual practice when they support relatedness satisfaction and enable informational dialogue. Boundary conditions are also identified—task complexity, expertise level, cultural context, and evaluation pressure—under which these effects may vary, attenuate, or reverse. These ideas are integrated into the Socially Embedded Motor Learning (SEML) framework, together with a methodological agenda emphasizing multi-session designs, multilevel analysis, and psychophysiological or neurocognitive measurement. Practical implications for coaches, physical educators, and rehabilitation professionals are also outlined. By making the social dimension of motor learning theoretically explicit and empirically testable, the SEML framework offers a research program linking motivational psychology, motor control, and pedagogy. Keywords: autonomy support, cooperative learning, dyadic practice, motor learning, psychological safety, relatedness satisfaction, self-determination theory, social context
What kind of evidence is this?
Intelligent tutoring & adaptive learning · Design requires full-text appraisal
Stage: Age / stage not established. Screening labels describe reported context and study-design language. They are not a risk-of-bias rating or proof of effectiveness for an age band.
Limitations and uncertainty · source passage
Several limitations warrant acknowledgment. The theoretical propositions advanced here are grounded in a purposive synthesis of existing evidence that prioritizes analytical depth and integrative argumentation over exhaustive coverage (Snyder, 2019). They are, by design, arguments to be tested rather than empirically settled conclusions.
Design the system before the pilot
Document the learner model, mastery rule, hint sequence and adaptation signal. Compare adaptive routing with the same content in a non-adaptive sequence. Check whether early errors lead to persistent low-expectation pathways.
- Give feedback on the learner’s reasoning, then fade hints. Record whether the learner can complete the next task without that scaffold.
- Measure engagement separately from achievement. Check whether novelty-driven participation persists and whether it translates to independent performance.
A 90-day district pilot
- Days 1–15 · Appraise. Have the curriculum lead and a teacher read the methods and limitations. Record the study design, sample, comparator, outcomes and evidence gaps. Define a local question that the study can help inform.
- Days 16–30 · Design. Treat the paper as background evidence until its population is verified in the full text. Do not assign an age-specific intervention or extend adult results to children. Name an accountable owner and set the baseline, success threshold and budget before implementation.
- Days 31–60 · Test. Start with a small voluntary cohort, preserve an accessible non-AI route and require teacher review. Use synthetic or de-identified examples; approve data handling and tool terms through district processes.
- Days 61–90 · Decide. Extract the participant ages or education stage, recruitment, task and comparator before selecting a local pilot. If these cannot be established, retain the paper for design discussion rather than age-band efficacy claims. Compare with baseline, document uncertainty and stop or revise if learning worsens, access is unequal or critical errors persist.
The board decision brief
Report the learning problem, evidence quality, participating population, total cost including review time, measured benefit, errors, access differences and remaining uncertainties. Make a dated recommendation to stop, revise or expand. A positive perception survey alone does not establish learning improvement.
Attribution and reuse
Chang-Ha Im. Relatedness as a contextual catalyst in motor learning: the socially embedded motor learning framework. Frontiers in Psychology (2026-05-08). https://doi.org/10.3389/fpsyg.2026.1810460
Companion prepared 2026-10-30. Original authorship and DOI are preserved. The abstract is an attributed source extract; the implementation plan is new AI-assisted editorial material, offered under the same CC BY 4.0 license. This guide has not undergone independent peer review.