This chapter introduces a pioneering approach to foreign language acquisition using an Emulated Real-World Environment, combining Educational Robots and IoT-Enabled Tangible Objects. Addressing critical challenges in language learning, such as lack of immersion and contextual practice, it introduces the R&T (Robot and Tangible objects) learning system. This system integrates humanoid robots with IoT-enabled tangible objects, facilitating realistic, context-rich language interactions. It supports diverse learning modes and focuses on enhancing conversational skills, digital literacy, and physical concept comprehension. The research highlights an interdisciplinary collaboration that ensures educational effectiveness, technological sophistication, and contextual relevance. A key outcome is significant improvement in language comprehension and communication skills, demonstrated through multi-sensory learner interactions. Additionally, the study explores applications in early childhood language development, using AI-driven educational robots to address language gaps. This innovative approach marks a transformative step in language education, merging robotics and AI to enrich language-learning experiences.

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Emulating Real World Environment for Contextual Language Learning Using Educational Robot and IOT-Enabled Tangible Objects

  • Nian-Shing Chen,
  • Hui-Chin Yeh

摘要

This chapter introduces a pioneering approach to foreign language acquisition using an Emulated Real-World Environment, combining Educational Robots and IoT-Enabled Tangible Objects. Addressing critical challenges in language learning, such as lack of immersion and contextual practice, it introduces the R&T (Robot and Tangible objects) learning system. This system integrates humanoid robots with IoT-enabled tangible objects, facilitating realistic, context-rich language interactions. It supports diverse learning modes and focuses on enhancing conversational skills, digital literacy, and physical concept comprehension. The research highlights an interdisciplinary collaboration that ensures educational effectiveness, technological sophistication, and contextual relevance. A key outcome is significant improvement in language comprehension and communication skills, demonstrated through multi-sensory learner interactions. Additionally, the study explores applications in early childhood language development, using AI-driven educational robots to address language gaps. This innovative approach marks a transformative step in language education, merging robotics and AI to enrich language-learning experiences.