The presence of social robots in children's daily environments has steadily increased. With the advancement of artificial intelligence (AI), social robots have influenced children's learning and development. This study innovatively utilized the Web of Science database and conducted a bibliometric analysis of 517 publications on social robots…

The use of robots in education has the potential to engage students in learning activities and aims to form lasting relationships with them. To encourage sustainable, long-term human-robot interactions, a promising approach is to cultivate a pet-like, interdependent relationship. However, the potential of such relationships in education remains…

Background: Although human-robotic interaction is a rapidly burgeoning area of study within education, and social robots are being widely tested for use in schools, few studies have focused on early adolescent interactions with robots under actual classroom conditions. Objectives: We introduced an autonomous, social robot ('Pepper') into a…

In recent years, there has been a growing interest in using robots within educational environments due to their potential to augment student engagement and motivation. However, current research has not adequately addressed the effectiveness of these robots in facilitating inclusive learning for diverse student populations, particularly those with…

This research explored if a social robot would play a role in facilitating the development of friendship between young children while they engage in playful learning. Grounded in child-robot interaction and child development literature, we instantiated four sessions of triadic interaction activities among two children and a robot, where the robot…

This study focuses on dialogue breakdowns that can occur in robot-assisted language learning (RALL). Our aim is to analyse how children use gaze to resolve these breakdowns, that is, interruptions in the interaction caused by the robot's inability to understand the children and react appropriately. Our corpus consists of 18 video filmed L2…

Computational thinking (CT) has been supported as an important skill every young person should possess for the 21st century, with possible implications for problem-solving, self-expression, and creativity. Numerous initiatives, both within and outside classroom settings, have been developed in response to policy mandates aiming at broadening…

Interventions utilizing human-computer interaction (HCI) in autism rehabilitation have gained popularity, yet their efficacy has not been fully elucidated. This meta-analysis assessed 30 international studies from the past decade that employed HCIs for autism intervention. The findings revealed a moderate positive effect (g = 0.484) on improving…

Research on the educational applications of social robots has shown how they can motivate children and help improve academic learning outcomes. Here, we examine how robots can support skill learning and, more specifically, musical instrument practice. Drawing from social facilitation theory and evaluation apprehension theory we expected that the…

This article seeks to explore the convergent validity of (and thus the consistency between) a few popular generative artificial intelligence (AI) robots in evaluating popular mobile learning apps' usability. The three robots adopted in the study were Microsoft Copilot, Google PaLM, and Meta Llama, which were individually instructed to accord…

Taking into account the profound impact of technology on modern education, especially during the COVID-19 pandemic, increasing academic interest has focused towards the design and application of such tools on different learning contexts. A specific area of Human-Computer Interaction, called affordance theory, focuses on the perception, design and…

This qualitative study explored the views of teachers and an occupational therapist about the potential use of humanoid robots as an assistive tool in educating autism spectrum disorder (ASD) children. Seven participants with extensive experience handling early intervention programs for ASD children were selected via purposive sampling.…

Purpose: To align with the artificial intelligence and robotics (AIR) research and policy agenda, this paper puts forth an adapted five big ideas framework specifically tailored to teaching young children about artificial intelligence (AI) via robotics. Design/Approach/Methods: Grounded in early childhood education research, the proposed framework…