Agentic education · Learning science

Actionable companion · Feedback & scaffolding

Learning with agency: Design and application of emotion-oriented play-learning tools for children with autism: a cross-cultural qualitative study of parents and teachers in China and Malaysia

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.

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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): Children · stage unspecified. Verify the participant population and task before transferring the findings.

Original authors’ abstract, reproduced under the linked source license:

Abstract Background Autistic children experience enduring difficulties with emotion regulation and daily participation. Emotion-oriented play-learning tools (EPLTs, sensory play-learning tools for supporting emotion and self-regulation) are recognized as low-threshold supports across home–school–community settings; however, robust real-world evidence (RWE) on their use, design requirements, and cross-cultural variation remains limited. Purpose The purpose of this study is to examine the meanings, applications, and design requirements of emotion-oriented play-learning tools in China and Malaysia, and to identify system-level enablers and barriers to their development and use from stakeholder perspectives. Methods Adopting reflexive thematic analysis, we conducted semi-structured interviews with 30 stakeholders (15 in China; 15 in Malaysia)—parents/primary caregivers and frontline teachers. Data were analyzed inductively in NVivo using three-level coding, and the reporting followed the Standards for Reporting Qualitative Research (SRQR). Results Five overarching themes were identified: (1) driving factors (heightened emotional difficulties and trend-driven impetus); (2) attitudes to advanced technologies [virtual/augmented reality (VR/AR) and artificial intelligence (AI)]; (3) potentials and applications (multimodal sensory feedback, support for emotional expression, and transition support); (4) design and market requirements (safety, affordability, maintainability, collaboration, and data minimization); and (5) socio-environmental issues (stigma and policy accessibility). Coding frequencies indicated Theme 4 was the most salient, with stronger emphasis among parents than teachers. Attitudes to technology diverged by country—Malaysian participants were generally more open, whereas Chinese participants were more cautious—while socio-environmental constraints were common to both. Overall, Chinese participants offered denser, institution-focused accounts, whereas Malaysian participants emphasized family- and community-based practical coping. Conclusions Emotion-oriented play-learning tools may operate as low-threshold, context-adaptable supplement tools in real-world settings. Scalable adoption depends on evidence-informed design; integrated affordability across price, maintenance, and training; and governance frameworks for privacy and explainability. We propose a design paradigm centered on safety, affordability, evidence, and collaboration. This paradigm is intended to guide small-scale RWE pilots, enable home-school data sharing and cross-cultural adaptation, and ultimately enhance quality of life for autistic children—aligning with the Sustainable Development Goals (SDGs) on Good Health and wellbeing, Quality Education, and Reduced Inequality. Keywords: autism spectrum disorder (ASD), cross-cultural comparison, emotion-oriented play-learning tools, home–school collaboration, reflexive thematic analysis, sensory feedback, user-centered design (UCD)

What kind of evidence is this?

Supporting AI learning science · Evidence synthesis

Stage: Children · stage unspecified. 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.

Study methods · source passage

This study was designed and reported in accordance with the Standards for Reporting Qualitative Research (SRQR; Dossett et al., 2021), with the full checklist provided in Appendix S1. Adopting a constructivist orientation, we employed reflexive thematic analysis (Braun and Clarke, 2012). An audit trail was maintained throughout the research process, documenting raw data management, iterative codebook revisions, records of discrepancy negotiation, and reflexive memo writing. The following sections describe the sampling strategy, contextual information, data collection and handling procedures, and the techniques used to enhance trustworthiness—including dual independent coding, peer debriefing, and negative case analysis. The study received ethical approval from the University of Malaya Research Ethics Committee (UM.TNC2/UMREC_4398).

Limitations and uncertainty · source passage

This study adopted a cross-cultural, multi-site qualitative design with a relatively small sample size. Although thematic saturation was achieved, the findings are not intended to be generalized to the population level. The use of online interviews may have limited access to non-verbal cues, and translation between Chinese, English, and Malay may have introduced potential semantic bias. Furthermore, the researchers' disciplinary backgrounds may have influenced both the framing of interview questions and the interpretation of participants' narratives.

Design the system before the pilot

Use this study to inform a learning mechanism or implementation question. It is not direct evidence that autonomous agents improve learning. Keep the proposed agent behavior separate from what the source actually tested.

  • Give feedback on the learner’s reasoning, then fade hints. Record whether the learner can complete the next task without that scaffold.
  • Use plan–attempt–check–reflect prompts and compare confidence with actual performance. Keep learner choice and reflection visible.
  • Co-design accommodations with learners and specialists. Check access and error burden across groups without inferring subgroup effectiveness from small or unreported samples.

A 90-day district pilot

  1. 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.
  2. Days 16–30 · Design. Establish the participants’ ages, developmental needs and educational setting from the full paper before selecting an intervention. Use adult-mediated activity and preserve hands-on and peer learning. Name an accountable owner and set the baseline, success threshold and budget before implementation.
  3. 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.
  4. Days 61–90 · Decide. Evaluate an age-appropriate independent task after the interaction. Do not infer a preschool or primary-school effect when the paper does not establish that population. 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

Yiming Xing; Nazean Jomhari; Norhanim Zakaria; Xizhen Zhou; Shunfa Lai; Yueting Liu. Design and application of emotion-oriented play-learning tools for children with autism: a cross-cultural qualitative study of parents and teachers in China and Malaysia. Frontiers in Psychology (2026-04-30). https://doi.org/10.3389/fpsyg.2026.1736058

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.