A Review of the Literature on Artificial Intelligent Speech-Recognition Chatbots for Second Language Learning
Date
2024-10
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Abstract
Purpose: This literature review provides an overview of articles that discuss the key factors, concepts, and variables that describe how conversational artificial intelligent (AI) technologies support second language learning, as well as the challenges to such technologies' ability to support language learning.
Methods: We conducted a search of scholarly literature from 2020-2024. The search was conducted in English. The literature review included articles found based on key searches, including “speech recognition chatbots,” “language learning,” “conversational AI,” “artificial intelligence,” “large language models,” “natural language processing,” and “language acquisition.” We addressed the question: To what extent can conversation AI technologies support second language learning?
Results: We found 18 relevant research articles which revealed four themes (1) willingness to communicate, (2) authentic contextualized practice, (3) immediate individualized feedback, and (4) flexible system design. All literature included are research studies, sixteen peer-reviewed and two ahead-of-print. The findings revealed that conversational AI technologies are based primarily on support for willingness to communicate, authentic contextualized practice, immediate and individualized feedback, and flexible and interactive system design.
Implications: The literature review revealed that to a great extent conversational technologies are emerging as supports for second language learning due to the innovation of human-ness, system design, and program implementation. Thus, it is important to select appropriate conversational AI technologies based on the learner’s age, level, language, country, and interests for the learner to cognitively, emotionally and socially engage in speaking. In addition, implementing strategies like teacher preparation and intervention, including teaching how to properly use the technology, consistent check-ins and lessons designed for technology use, is essential to improve future use of conversation AI for supporting second language learning.
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artificial intelligence, intelligent personal assistants, automatic speech recognition chatbots, voice chatbots, voice-enabled chatbots, virtual tutors, virtual human, second language learning, conversational AI, natural language processing, machine learning, large language models
Citation
Gauthier, E., & Dressler, R. (2024). A review of the literature on artificial intelligent speech-recognition chatbots for second language learning. University of Calgary.