Himeji Dokkyo University Academic Repository / 姫路獨協大学学術機関リポジトリ

DIZON, Gilbert

姫 路 獨 協 大 学
国際言語文化論集 第５号 抜刷
2024年 2 月 発行
Applications of Artificial Intelligence (AI)
in Language Learning: A Brief Guide.
Gilbert DIZON
Introduction
The incorporation of artificial intelligence (AI) into the realm of second language
(L2) learning marks a profound transformation, reshaping the landscape of how
individuals embark on their language learning journeys. In recent times, there has been
increased research and user interest in AI-driven language learning applications and
platforms that include impressive capabilities that cater to learners across a wide range
of age and proficiency levels, affording them L2 experiences finely attuned to their
learning interests and needs. In short, AI enhances language acquisition effectiveness
and makes learning more engaging, accessible, and adaptable for learners worldwide.
Given the advantages of AI in language learning, the aim of this article is to provide a
brief guide that illustrates three ways AI could be used to enhance L2 learning.
Personalized Language Learning
AIʼs ability to analyze learner data ensures a personalized experience (Chen et al.,
2021; Huang et al., 2023). Through initial assessments and continuous evaluations, AI
gauges a studentʼs proficiency and learning preferences. This data informs the creation
of tailored learning paths, delivering lessons and exercises that match the learnerʼs
current skill level and areas requiring improvement. Furthermore, AI also suggests
supplementary resources such as articles or videos, aligning with the studentʼs interests
and language level.
Moreover, AIʼs ability to adapt and customize the learning experience is pivotal in
promoting a personalized language learning environment. As learners evolve, AI
continually fine-tunes their curriculum, introducing more challenging material for those
excelling and providing extra support for areas of struggle. This dynamic approach
ensures that learners remain engaged as the content always aligns with their skill level
― 42 ― ― 43 ―
Applications of Artificial Intelligence (AI)
in Language Learning:
A Brief Guide.
Gilbert DIZON
Applications of artificial intelligence (AI) in language learning: A brief guide
and evolving needs. Whether a beginner or an advanced learner, AI ensures that each
studentʼs language learning journey is uniquely tailored to help them achieve their goals
efficiently and effectively.
In addition to these adaptative features, AI employs strategies to maintain
motivation. AI adjusts the difficulty of exercises as learners progress, ensuring a
constant challenge without overwhelming the student. Gamification elements, such as
points and rewards, are incorporated to make learning engaging and fun. Additionally,
AI-driven chatbots and virtual tutors are available for on-demand assistance, allowing
learners to seek clarification, practice conversations, and ask questions as they navigate
their personalized language learning journey. Together, these elements create a
cohesive and individualized language learning experience.
Corrective Feedback
AI can play a crucial role in providing corrective feedback to L2 learners (Ai,
2017; Osawa, 2023). Firstly, through advanced speech recognition technology, AI can
accurately assess learnersʼ pronunciation and fluency. By comparing their spoken
language to native speakersʼ models, AI identifies areas of improvement and offers
immediate feedback. This real-time correction helps learners refine their accent and
intonation, enhancing their overall speaking proficiency.
Additionally, AI employs natural language processing (NLP) techniques to
analyze learnersʼ written work. It detects grammar and vocabulary errors, providing
constructive feedback on sentence structure, word choice, and punctuation. This
feedback is invaluable for improving writing skills and ensuring clarity and coherence
in written communication. Learners can view detailed explanations of their mistakes,
fostering a deeper understanding of the language rules.
Moreover, AI offers personalized feedback tailored to each learnerʼs specific
needs and areas of struggle. By continuously monitoring their progress, AI adapts the
feedback based on individual strengths and weaknesses. Learners receive guidance on
the aspects of the language where they require the most attention, ensuring that their
language learning journey is efficient and targeted. In this way, AI not only corrects
errors but also serves as a supportive and personalized language-learning companion as
noted in the previous section.
― 44 ― ― 45 ―
Applications of artificial intelligence (AI) in language learning: A brief guide
Conversation Partner
AI empowers L2 learners to practice their target language; thus, allowing them to
practically apply the linguistic knowledge they have gained through their language
studies (Ericsson & Johansson, 2023; Huang et al., 2023). While human interlocutors
are ideal for language practice, AI chatbots serve as invaluable alternatives when
learners lack access to native or other L2 speakers. These AI-driven chatbots engage
learners in conversations, providing a platform for real-time language practice.
Moreover, AI chatbots offer a controlled and supportive environment for L2
learners to hone their speaking and listening skills. They simulate a wide range of
conversational scenarios, allowing learners to practice greetings, common phrases, and
even more complex dialogues. Learners can interact with these chatbots at their own
pace, building confidence and fluency over time.
Furthermore, AI chatbots are available 24/7, providing learners with the flexibility
to practice their L2 whenever and wherever they choose. This accessibility is
particularly valuable for those with busy schedules or limited opportunities for in-
person language practice. By offering a convenient and consistent platform for
language practice, AI ensures that learners can actively engage with their target
language, even in the absence of human interlocutors. In this way, AI not only
complements traditional language learning methods but also extends the possibilities
for language practice and skill development.
Conclusion
In conclusion, the integration of AI into language learning has ushered in a
transformative era, offering personalized learning experiences and valuable feedback to
learners. AIʼs ability to analyze learner data, provide immediate feedback, adapt to
individual needs, and facilitate language practice through chatbots has the potential to
revolutionize the L2 learning process. While human interlocutors remain the gold
standard, AI chatbots prove invaluable when access to native speakers is limited.
For L2 learners seeking AI applications and software, several options are
available. Duolingo, for instance, offers gamified language courses with AI-driven
exercises and assessments. Babbel provides personalized lessons and feedback tailored
to individual learnersʼ needs. Moreover, ChatGPT can be used to study an L2 by
engaging in text-based conversations where users can practice vocabulary, grammar,
and conversational skills in their target language. Users can also ask the AI chatbot for
― 44 ― ― 45 ―
Applications of artificial intelligence (AI) in language learning: A brief guide
translations, language explanations, or cultural insights to aid in their language-
learning journey. These AI-powered tools offer diverse and interactive ways to enhance
language learning, making the journey to mastering a second language both engaging
and efficient. As AI continues to advance, it holds the potential to further enrich and
individualize language learning experiences for learners worldwide.
References
Ai, H. (2017). Providing graduated corrective feedback in an intelligent computer
assisted language learning environment. ReCALL, 29 (3), 313–334. https: //doi.
org/10.1017/S095834401700012X
Chen, X., Zou, D., Xie, H., & Cheng, G. (2021). Twenty years of personalized language
learning. Educational Technology & Society, 24(1), 205-222.
Ericsson, E., & Johansson, S. (2023). English speaking practice with conversational AI:
Lower secondary studentsʼ educational experiences over time. Computers and
Education: Artificial Intelligence, 5. https://doi.org/10.1016/j.caeai.2023.100164
Huang, X., Zou, D., Cheng, G., Chen, X., & Xie, H. (2023). Trends, Research Issues
and Applications of Artificial Intelligence in Language Education. Educational
Technology & Society, 26(1), 112-131. https://doi.org/10.30191/ETS.202301_26
(1).0009
Osawa, K. (2023). Integrating Automated Written Corrective Feedback into E-
Portfolios for second language Writing: Notion and Notion AI. RELC Journal,
Advance Online Publication. https://doi.org/10.1177/00336882231198913
Zhai, C., & Wibowo, S. (2023). A systematic review on artificial intelligence dialogue
systems for enhancing English as foreign language students’ interactional
competence in the university. Computers and Education: Artificial Intelligence, 4.
https://doi.org/10.1016/j.caeai.2023.100134
― 46 ― ― 47 ―
Applications of artificial intelligence (AI) in language learning: A brief guide
Abstract
The incorporation of artificial intelligence (AI) into the realm of second language
(L2) learning marks a profound transformation, reshaping the landscape of how
individuals embark on their language learning journeys. In recent times, there has been
increased research and user interest in AI-driven language learning applications and
platforms that include impressive capabilities that cater to learners across a wide range
of age and proficiency levels, affording them L2 experiences finely attuned to their
learning interests and needs. In short, AI enhances language acquisition effectiveness
and makes learning more engaging, accessible, and adaptable for learners worldwide.
Given the advantages of AI in language learning, the aim of this article is to provide a
brief guide that illustrates three ways AI could be used to enhance L2 learning.
― 46 ― ― 47 ―
Applications of artificial intelligence (AI)
in language learning: A brief guide
Gilbert DIZON
Applications of artificial intelligence (AI) in language learning: A brief guide


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