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Parenting Journal · Volume 2 · Issue 5 · Licensed source edition

Exploring child engagement in a multi-robot tutor-peer learning scenario

Originally published 2026-05-18 · Frontiers in Robotics and AI
Frontiers Media SA · DOI 10.3389/frobt.2026.1768482 ↗

IndependenceExploratory single-session multi-robot feasibility studyCC BY 4.0
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AI / system type

Scripted multi-robot learning system; human-entered child responses, not LLM agents

Child-facing evidence

Examines children or child-focused systems. Transfer to everyday family life must be assessed separately.

The AI connection

Two physically distinct social robots enacted programmed tutor/novice roles, with human input triggering response branches.

Why this reading matters

Useful for evaluating increasingly elaborate educational agents without equating added characters with added educational value.

Editorial reading guide · Independence

Does adding another AI character help my child think, or mainly add social activity?

Explores how a child distributes attention when educational assistance becomes more socially complex. Attention to task objects and robots co-occurred with engagement, but this does not show that two robots improve learning or independence. The novice role is an occasion to discuss explaining, recalling, and noticing uncertainty.

Study context

16 children learning novel object names with a tutor robot and a novice peer robot

Age / stage: 4–5 years; mean 4.44 years

Read with three questions

  1. Where did children direct attention during the tutor-and-novice interaction?
  2. What can be inferred from a feasibility study without a single-robot or no-robot comparison?
  3. How could a learner explain a new word in their own terms instead of following the characters’ script?

Keep the limits in view

Sixteen children, one configuration, and a short session prevent causal or comparative effectiveness claims. Recruitment was selective and one child’s distress led to cancellation. Robot dialogue was scripted and an experimenter entered child responses; engagement is not evidence of durable independent learning.

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Attribution & reuse

Follow the original.

Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.

Luca Raggioli; Rahul Singh Maharjan; Joanna Kolak; Gemma Taylor; Amanda Banks Gatenby; Angelo Cangelosi (2026). Exploring child engagement in a multi-robot tutor-peer learning scenario Frontiers in Robotics and AI. https://doi.org/10.3389/frobt.2026.1768482

Permissions checked against the saved article notice; repository publication notices screened 2026-11-04. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.