ABSTRACT Human–robot interaction (HRI) learning plays a crucial role in enhancing the interactivity and enjoyment of the learning process and cultivating future talents with innovative thinking abilities. However, personalized multi‐role HRIs in educational contexts remain insufficiently explored. To fill this gap, this study developed a personalized multi‐role educational robot learning assistant (MREduRobot), based on the NAO robot and powered by the ERNIE‐4.0‐Turbo‐128K large language model (LLM). The assistant provides personalized video explanations and interactive Q teacher‐student interaction: Sig(2‐tailed) < 0.001), reducing cognitive load (Sig(2‐tailed) < 0.001), and improving learning effectiveness (retention test: Sig(2‐tailed) < 0.001; transfer test: Sig(2‐tailed) < 0.001). These findings demonstrate the feasibility of using MREduRobot to promote contextual learning through effective HRI.
Wang et al. (Fri,) studied this question.