Robot education peers in a situated primary school study: Personalisation promotes child learning
Paul Baxter1,2, Emily Ashurst2, Robin Read2
1Lincoln Centre for Autonomous Systems, School of Computer Science, University of Lincoln, Lincoln, United Kingdom.
Plos One
|May 26, 2017
Summary
Personalised social robots enhance child learning and acceptance in classrooms. Robots adapting their behaviour improved learning outcomes, especially for novel subjects, over a two-week period.
Area of Science:
- Human-Robot Interaction
- Educational Technology
- Developmental Psychology
Background:
- Social robots show potential in educational settings.
- Long-term effects and personalization of robot behavior require further investigation.
Purpose of the Study:
- To evaluate the long-term benefits of social robots in child learning.
- To assess the impact of personalized and adaptive robot social behaviors on learning outcomes.
Main Methods:
- Two autonomous social robots were deployed in primary school classrooms for two weeks.
- Robots acted as learning companions for children without direct supervision.
- Personalized and non-personalized robot behaviors were compared.
Main Results:
- Children demonstrated learning in both personalized and non-personalized robot conditions.
- Personalized robot behaviors led to increased learning of novel subjects.
- Benefits extended to other classroom performance, and personalized robots were better accepted.
Conclusions:
- Behavioral personalization of social robots positively influences child learning in educational environments.
- Adaptive social robot companions can enhance educational experiences over extended periods.
- Personalization increases robot acceptance among children.
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