AI-powered Personalization for Learning and Human-Robot Interaction: A Case Study with Pre-Service Teachers from Indonesia

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AI-driven personalization significantly enhances learner engagement and social interaction among participants.
Quantitative analysis demonstrated a positive correlation between AI tools and educational outcomes in pre-service teachers.
The mixed-method design included structured questionnaires and semi-structured interviews to gather comprehensive insights.
The findings suggest a strong potential for AI integration in educational policy and curriculum development efforts.

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Mixed-method analysis shows AI-driven personalization improves learner engagement in pre-service teachers, highlighting its role in education.

Yakin et al. (2025) studied this question.

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Mixed-method analysis shows AI-driven personalization improves learner engagement in pre-service teachers, highlighting its role in education.