Curious about the future of language learning? A groundbreaking meta-synthesis study by Koç & Savaş (2024) analysed 57 studies on voice-based AI chatbots in English language learning from 2010 to 2024. The research focused on voice-based AI chatbots specifically designed for language learning, as well as general-purpose voice assistants. Here’s a breakdown:
This included both general audience chatbots voice assistants [like Alexa, Siri, Google Assistant & Cortana] & chatbots created specifically for language learners [like DiMaCA, HALEF & TextEvaluator].
The chatbots were used in different ways, such as:
Structured prompts: Teachers provided pre-established questions or commands for students to use with chatbots.
Task-based scenarios: Students practiced real-life situations, such as ordering in a coffee shop or buying train tickets, using chatbot simulations.
Linguistic strategy training: Learners were taught strategies like speech modification & asking for clarification to navigate chatbot conversations effectively.
Voice interaction: The chatbots discussed in this study use speech recognition & text-to-speech technologies to engage in oral communication with learners.
Here’s what they discovered:
- Most research focused on higher ed., with 49% of participants being undergraduate & graduate students.
- Studies were predominantly conducted in Asian countries, with Japan, Korea, China, & Taiwan leading the pack.
- There’s been a significant upward trend in publications since 2016, highlighting growing interest in this field.
- Popular AI chatbots used include Alexa, Google Assistant, & Cleverbot, alongside custom-designed chatbots for specific learning purposes.
- Paralinguistic elements: The study notes that voice-based interaction exposes learners to paralinguistic elements like stress, intonation, and other suprasegmental components.
Key findings:
- Voice-based AI chatbots can improve language skills, enhance affective factors like motivation & willingness to communicate, & boost pragmatic awareness.
- Challenges include speech recognition issues & the need for more natural interactions.
- Recent developments in large language models like GPT-4 promise even more sophisticated chatbot interactions for language learners (Godwin-Jones, 2022).
Teacher Takeaways?
- Design task-based learning scenarios with AI chatbots to provide authentic communication practice. For example. I’ve had learners ask Google for information instead of typing.
- Offer pre-task activities & linguistic strategies to help students navigate chatbot interactions effectively.
- Use AI chatbots to reduce speaking anxiety & increase willingness to communicate in a foreign language.
Have you used AI chatbots in your language classes? How did you structure the activities?
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