Explore the innovative intersection of robotics and language acquisition in "Translanguaging in RALL." This podcast delves into a groundbreaking study comparing monolingual and bilingual social robots as conversational practice companions for language learners. Discover how these robots impact user experience, learning expectations, and emotional states.
Key Topics Covered:
- The principles of translanguaging pedagogy and its application in Robot-Assisted Language Learning (RALL).
- A comparative analysis of monolingual versus bilingual approaches in RALL, examining user preferences and learning outcomes.
- How bilingual robots can provide more effective feedback and clarification, particularly for lower-proficiency learners, by strategically using the learner's first language (L1).
- The impact on learners' emotional states, with findings indicating that bilingual robots foster a more relaxed and enjoyable learning environment, reducing language anxiety.
- Insights into how participants' confidence in learning from robots increases over time, highlighting the potential of this technology to enhance language acquisition.
- An analysis of user interactions, revealing that while bilingual support is available, learners still primarily use the target language, suggesting effective scaffolding rather than over-reliance on L1.
- Discussion of the Godspeed Questionnaire results, assessing participants' perceptions of the robot's anthropomorphism, likeability, intelligence, and safety.
Join us as we unpack the research, offering valuable insights for educators, language learners, and anyone interested in the future of language education. Learn how integrating bilingual support in language-learning robots may enhance user engagement and effectiveness, especially for those with lower proficiency. This podcast explores the potential of robots to serve as multilingual agents in education, promoting inclusivity and improving learning outcomes for diverse students.
