The fusion of large language models and robotic systems has introduced a transformative
paradigm in human–robot interaction, offering unparalleled capabilities in natural language …

Social robots can be used in education as tutors or peer learners. They have been shown to
be effective at increasing cognitive and affective outcomes and have achieved outcomes …

In recent years, robots have increasingly been implemented as tutors in both first-and
second-language education. The field of robot-assisted language learning (RALL) is …

Pedagogical agents are typically designed to take on a single role: either as a tutor who
guides and instructs the student, or as a tutee that learns from the student to reinforce what …

Social robots are a promising new technology for primary education. However, they also
introduce practical and moral challenges and there is an increasing demand for guidelines …

The advancement of generative AI technologies underscores the need for AI literacy,
particularly in Southeast Asia's elementary Science, Technology, Engineering, Art, and …

Storybook reading accompanied by adult-guided conversation provides a stimulating
context for children's language development. Conversational agents powered by artificial …

This article surveys reinforcement learning approaches in social robotics. Reinforcement
learning is a framework for decision-making problems in which an agent interacts through …

Robot-assisted language learning (RALL) is becoming a more commonly studied area of
human-robot interaction (HRI). This research draws on theories and methods from many …

Engagement is a concept of the utmost importance in human-computer interaction, not only
for informing the design and implementation of interfaces, but also for enabling more …