doi: 10.62486/latia202423

ORIGINAL

Integrating AI Chatbots in ESL and CFL Instruction: Revolutionizing Language Learning with Artificial Intelligence

Integración de Chatbots de IA en la Enseñanza de ESL y CFL: Revolucionando el Aprendizaje de Idiomas con Inteligencia Artificial

Goh Ying Soon¹ *, Nurul Ain Chua Binti Abdullah² *, Nurul Ajleaa Binti Abdul Rahman¹ *, Zhang Suyan³ *, Chen Yiming⁴ *

¹UiTM, Academy of Language Studies. Dungun, Malaysia.

²University Malaysia Terengganu, Centre for Fundamental Studies and Continuing Education. Kuala Terengganu, Malaysia.

³Shandong Jianzhu University China, Schools of Foreign Languages. Shandong, China.

⁴Shenzhen University China, School of Media and Communication. Shenzhen, China.

Cite as: Ying Soon G, Binti Abdullah NAC, binti Abdul Rahman NA, Suyan Z, Yiming C. Integrating AI Chatbots in ESL and CFL Instruction: Revolutionizing Language Learning with Artificial Intelligence. LatIA. 2024; 2:23. https://doi.org/10.62486/latia202423

Submitted: 12-08-2023                   Revised: 22-12-2023                    Accepted: 06-04-2024                  Published: 07-04-2024

Editor: Dr. Rubén González Vallejo

Corresponding Author: Goh Ying Soon *

ABSTRACT

The integration of artificial intelligence (AI) in language teaching has emerged as a transformative approach, particularly in the realms of English as a Second Language (ESL) and Chinese as a Foreign Language (CFL). This article explores the potential of AI chatbots as effective tools for enhancing language acquisition. By examining the current landscape of AI in language education, we identify the unique benefits that chatbots bring to the learning process, including personalized interaction, immediate feedback, and continuous engagement. The article delves into the design and implementation of AI chatbot systems tailored for ESL and CFL contexts, highlighting their role in vocabulary development, grammar practice, and conversational skills. Furthermore, it addresses the challenges and limitations of using chatbots in language teaching, proposing strategies for overcoming these obstacles. Through case studies and empirical data, the article demonstrates how AI chatbots can be harnessed to create a dynamic and interactive learning environment that caters to the diverse needs of language learners. Ultimately, this work advocates for the thoughtful integration of AI chatbots to complement traditional teaching methods, thereby paving the way for more effective and accessible language education.

Keywords: AI Chatbots; Language Acquisition; Personalized Learning; Immediate Feedback; Conversational Practice; Educational Technology.

RESUMEN

La integración de la inteligencia artificial (IA) en la enseñanza de idiomas ha surgido como un enfoque transformador, particularmente en los campos del inglés como Segunda Lengua (ESL) y el chino como Lengua Extranjera (CLE). Este capítulo del libro explora el potencial de los chatbots de IA como herramientas efectivas para mejorar la adquisición del lenguaje. Al examinar el panorama actual de la IA en la educación lingüística, identificamos los beneficios únicos que los chatbots aportan al proceso de aprendizaje, incluida la interacción personalizada, la retroalimentación inmediata y el compromiso continuo. El capítulo se adentra en el diseño e implementación de sistemas de chatbots de IA adaptados para contextos de ESL y CLE, destacando su papel en el desarrollo del vocabulario, la práctica de la gramática y las habilidades conversacionales. Además, aborda los desafíos y limitaciones del uso de chatbots en la enseñanza de idiomas, proponiendo estrategias para superar estos obstáculos. A través de estudios de caso y datos empíricos, el capítulo demuestra cómo los chatbots de IA pueden ser aprovechados para crear un entorno de aprendizaje dinámico e interactivo que atiende a las necesidades diversas de los aprendices de idiomas. En última instancia, este trabajo aboga por la integración reflexiva de los chatbots de IA para complementar los métodos de enseñanza tradicionales, allanando así el camino para una educación lingüística más efectiva y accesible.

Palabras clave: Los Chatbots de Inteligencia Artificial; Adquisición del Lenguaje; Aprendizaje Personalizado; Retroalimentación Inmediata; Práctica Conversacional; Tecnología Educativa.

INTRODUCTION

A. Significance of AI in language teaching

The significance of artificial intelligence (AI) in language teaching cannot be overstated, as it represents a paradigm shift in how languages are learned and taught. AI technologies have the potential to revolutionize the language education sector by offering personalized learning experiences that adapt to the individual pace, style, and needs of each learner. This level of customization is particularly crucial for language acquisition, where traditional one-size-fits-all approaches often fall short in addressing the varying proficiency levels and learning preferences of students. AI can provide real-time feedback, identify patterns in learner errors, and tailor exercises to target specific weaknesses, thereby enhancing the efficiency and effectiveness of the learning process.⁽¹⁾

Moreover, AI brings a level of scalability and accessibility to language teaching that was previously unattainable. With the ability to reach learners in remote locations and accommodate different schedules, AI-powered language learning platforms can democratize access to quality education. This is particularly important for languages where resources and qualified teachers may be scarce. The integration of AI also allows for continuous improvement of teaching materials based on data analytics, ensuring that the content remains relevant and effective. As a result, AI not only has the capacity to improve language learning outcomes but also to broaden the scope of language education, making it more inclusive and adaptable to the needs of a diverse global population.⁽²⁾

B. Focus on AI chatbots for ESL and CFL

AI chatbots have emerged as a transformative tool in the realm of teaching English as a Second Language (ESL) and Chinese as a Foreign Language (CFL). These conversational agents can simulate natural language interactions, providing learners with a platform to practice speaking and listening skills in a low-pressure, always-available environment. For ESL students, chatbots can help develop fluency and confidence by offering immediate feedback on grammar, vocabulary, and pronunciation, thereby bridging the gap often found in traditional classroom settings where speaking practice is limited. Similarly, for CFL learners, chatbots can aid in mastering the complexities of Chinese tones and characters, offering personalized exercises that cater to individual learning styles and progress.⁽³⁾

The utility of AI chatbots In ESL and CFL education is further enhanced by their ability to conduct interactive and contextually relevant dialogues. These chatbots can simulate a wide range of real-life scenarios, from ordering food in a restaurant to conducting business meetings, thereby providing learners with practical communication skills that are essential for language proficiency. Additionally, the adaptive nature of AI chatbots allows them to adjust the difficulty of conversations based on the learner’s performance, ensuring that the interaction remains both challenging and achievable. This not only accelerates language acquisition but also motivates learners by providing a sense of accomplishment as they progress through increasingly complex conversations, making AI chatbots an invaluable asset in modern language education.⁽⁴⁾

C. Objectives of the article

The primary objective of this article is to explore and articulate the potential of artificial intelligence chatbots as effective tools for enhancing language acquisition, specifically within the contexts of English as a Second Language (ESL) and Chinese as a Foreign Language (CFL). We aim to identify and elaborate on the unique benefits that AI chatbots offer to the learning process, including personalized interaction, immediate feedback, and continuous engagement. Additionally, the article seeks to provide insights into the design and implementation of AI chatbot systems tailored for ESL and CFL learners, while addressing the challenges and limitations associated with their use. Through empirical data and case studies, we strive to demonstrate how AI chatbots can be integrated into language education to create an interactive and dynamic learning environment that caters to the diverse needs of language learners, ultimately advocating for a thoughtful integration of these technologies with traditional teaching methods to improve the effectiveness and accessibility of language instruction.

THE CURRENT LANDSCAPE OF AI IN LANGUAGE EDUCATION

A. Overview of AI applications in language teaching

The integration of Artificial Intelligence (AI) in language teaching has revolutionized the way students learn and educators instruct, offering a suite of innovative tools that enhance the learning experience. AI applications range from intelligent tutoring systems and personalized learning platforms to automated speech recognition and natural language processing. These technologies provide a multifaceted approach to language acquisition, addressing various aspects of language skills such as listening, speaking, reading, and writing.⁽⁵⁾

Intelligent tutoring systems, for instance, use AI to provide individualized instruction, adapting to the learner’s pace and style. These systems can identify areas where a student may be struggling and offer targeted exercises to improve proficiency. Personalized learning platforms leverage AI algorithms to curate a learning path tailored to each student’s strengths and weaknesses, ensuring that the material is both engaging and challenging. Automated speech recognition tools enable learners to practice pronunciation with instant feedback, helping to refine their accent and intonation. Natural language processing allows for the analysis of written and spoken language, providing insights into grammar usage, vocabulary, and sentence structure. AI-powered language learning apps also incorporate gamification elements to make the learning process more enjoyable and motivating. Overall, AI applications in language teaching are making the learning process more accessible, effective, and enjoyable for learners across the globe.⁽⁶⁾

B. The rise of AI chatbots in language learning

The rise of AI chatbots in language learning has been a significant development, transforming the landscape of language acquisition by offering a new level of interactivity and accessibility. These conversational agents have become increasingly sophisticated, providing learners with immersive experiences that mimic real-life conversations.^(7,8) Here’s an overview of how AI chatbots are impacting language learning as shown in table 1.

Table 1. Overview of how AI chatbots are impacting language learning
Number	Way	Elaboration
1	Personalized Practice and Feedback:	AI chatbots can engage in conversations with learners, providing instant feedback on grammar, vocabulary, and pronunciation. They can adapt to the learner’s level and learning goals, offering personalized practice sessions that target specific language skills.
2	24/7 Availability:	One of the key advantages of AI chatbots is their constant availability. Learners can practice their language skills at any time, without the need to schedule sessions with a human tutor, which makes language learning more convenient and flexible.
3	Reduced Anxiety:	For many learners, the fear of making mistakes in front of others can be a significant barrier to practicing a new language. Chatbots provide a non-judgmental environment where learners can feel comfortable making errors and learning from them.
4	Enhanced Engagement:	Chatbots can incorporate elements of gamification, such as challenges, rewards, and progress tracking, to keep learners engaged and motivated. The interactive nature of chatbots makes the learning process more enjoyable and less monotonous.
5	Scalability:	AI chatbots can be used by millions of users simultaneously, making language learning resources more scalable than traditional teaching methods. This scalability is particularly important in regions where access to language education is limited.
6	Data-Driven Insights:	Chatbots collect vast amounts of data on learner interactions, which can be analyzed to gain insights into common errors, learning patterns, and areas for improvement. This data can be used to refine the chatbot’s algorithms and enhance the learning experience.
7	Cultural Immersion:	Some AI chatbots are designed to simulate conversations with native speakers from different cultures, allowing learners to practice language in a context that reflects real-world scenarios and cultural nuances.
8	Integration with Other Learning Tools:	Chatbots can be integrated with other language learning platforms and tools, providing a comprehensive learning ecosystem. For example, they can complement online courses, mobile apps, and virtual reality experiences.

Despite these benefits, there are also challenges and limitations to the use of AI chatbots in language learning. They may not yet fully replicate the complexity of human conversation, and the lack of emotional intelligence can sometimes lead to less nuanced interactions. However, as AI technology continues to advance, chatbots are likely to play an even more significant role in language education, offering a complementary tool to traditional teaching methods and self-study resources.

C. Benefits and potential of AI chatbots for language acquisition

The advent of artificial intelligence (AI) has revolutionized various sectors, including language learning. AI chatbots, in particular, have emerged as powerful tools with the potential to enhance language acquisition processes.^(9,10,11,12) This article explores the benefits and potential of AI chatbots in facilitating language learning, providing a comprehensive overview of how these interactive systems can support learners in achieving fluency and proficiency. The Benefits of AI Chatbots for Language Acquisition are discussed in table 2 and the Potential of AI Chatbots in Language Acquisition are shown in table 3.

Table 2. Benefits of AI Chatbots for Language Acquisition
Number	Benefit	Elaboration
1	Personalized Learning Experience	AI chatbots can adapt to the individual needs and learning styles of users. By analyzing learners’ responses and progress, chatbots can tailor their interactions to focus on specific areas that require improvement. This personalized approach ensures that learners receive customized feedback and practice, optimizing their language acquisition journey.
2	Immediate Feedback and Practice	One of the significant advantages of AI chatbots is their ability to provide instant feedback. Learners can practice vocabulary, grammar, and pronunciation, receiving real-time corrections and suggestions. This immediate feedback loop accelerates learning and helps users correct their mistakes promptly.
3	Accessibility and Convenience	AI chatbots are accessible 24/7, allowing learners to practice at their own pace and convenience. Whether through a smartphone app or a web-based platform, chatbots enable learners to engage in language practice anytime, anywhere, breaking down geographical and time constraints associated with traditional language learning methods.
4	Improved Pronunciation and Listening Skills	Many AI chatbots incorporate speech recognition technology, enabling learners to practice their pronunciation and listening skills. Users can engage in conversations with the chatbot, receive feedback on their accents, and work towards achieving native-like pronunciation.
5	Cultural Immersion	AI chatbots can be programmed to simulate conversations with native speakers from different countries, exposing learners to various accents and cultural contexts. This cultural immersion helps learners understand the nuances of the language and develop their communication skills in diverse settings.

Table 3. Potential of AI Chatbots in Language Acquisition
Number	Potential	Elaboration
1	Scalability	AI chatbots can cater to a large number of learners simultaneously, making them a cost-effective solution for educational institutions and language learning platforms. As the demand for language learning continues to grow, chatbots can be scaled to accommodate increasing user numbers without compromising on quality.
2	Integration with Other Learning Tools	AI chatbots can be integrated with other language learning tools and platforms, creating a comprehensive learning ecosystem. For example, chatbots can complement online courses, textbooks, and classroom instruction, providing a multifaceted approach to language acquisition.
3	Continuous Improvement	AI chatbots are capable of learning and improving over time. By analyzing vast amounts of data from user interactions, chatbots can refine their algorithms and become more effective in supporting language acquisition. This continuous improvement ensures that learners benefit from the latest advancements in AI technology.
4	Encouraging Confidence and Motivation	Interacting with AI chatbots can help learners build confidence in their language skills. As users witness their progress and receive positive reinforcement from the chatbot, their motivation to continue learning increases. This boost in confidence and motivation is crucial for long-term language acquisition success.

In sum, AI chatbots hold immense potential in transforming the landscape of language acquisition. By offering personalized learning experiences, immediate feedback, and continuous improvement, chatbots can support learners in achieving fluency and proficiency. As technology advances further, AI chatbots are likely to become an indispensable tool for language learners worldwide, paving the way for more accessible, efficient, and effective language learning experiences.

UNIQUE BENEFITS OF AI CHATBOTS IN LANGUAGE LEARNING

A. Personalized interaction

Personalized interaction in AI chatbots for language learning refers to the ability of these digital assistants to engage with learners in a manner that is tailored to their individual needs, preferences, and learning progress. This feature is powered by machine learning algorithms that analyze a user’s language abilities, response patterns, and areas of difficulty to provide a customized learning experience. By adapting their dialogue, difficulty level, and the pace of conversation, AI chatbots can simulate a one-on-one tutoring session, ensuring that each learner receives the specific support they require to improve their language skills.⁽¹³⁾

In the context of EFL, AI chatbots can offer personalized interaction in several ways. For instance, a chatbot might detect that a learner is struggling with past tense verbs and provide additional practice exercises focused on this grammar point. It could also notice that a user is particularly interested in business English and incorporate more vocabulary and scenarios related to the corporate world into their conversations. Moreover, if a learner is a native Chinese speaker, the chatbot might use cognates and linguistic similarities between English and Chinese to facilitate learning, or adjust the complexity of the sentences based on the user’s proficiency level.

In the realm of TCFL, AI chatbots can offer similarly nuanced personalized interactions. For example, if a learner is having trouble with tones in Mandarin Chinese, the chatbot can create a series of exercises that focus on tone differentiation and provide immediate feedback on the learner’s pronunciation. Additionally, the chatbot might identify that a user is more advanced and introduce them to more complex sentence structures or idiomatic expressions. Personalization can also extend to cultural elements; for instance, if a learner expresses interest in Chinese history, the chatbot could integrate historical references and stories into the language practice sessions, enhancing both language skills and cultural understanding.

B. Immediate feedback

Immediate feedback is a core feature of AI chatbots designed for language acquisition, where learners receive instant analysis and correction on their language use as they interact with the bot. This real-time assessment allows learners to quickly understand their mistakes and learn from them, which is crucial for reinforcing correct linguistic patterns and habits. Immediate feedback can cover a range of aspects, including grammar, vocabulary, pronunciation, and syntax, providing a comprehensive learning experience that accelerates the acquisition process.⁽¹⁴⁾

In ESL settings, AI chatbots can offer immediate feedback that is both corrective and constructive. For example, when a learner types a sentence with incorrect subject-verb agreement, the chatbot can instantly highlight the error and suggest the correct form. This immediate feedback not only helps the learner to correct the mistake but also reinforces the rule for future use. Similarly, in spoken language practice, AI chatbots equipped with speech recognition technology can provide instant feedback on pronunciation, such as stress patterns, intonation, and phoneme production, helping learners to refine their speaking skills and achieve a more natural accent.

In TCFL, immediate feedback from AI chatbots is particularly valuable due to the complexity of the Chinese language, including its tones and character-based writing system. For instance, when a learner attempts to write a Chinese character, the chatbot can instantly recognize if the stroke order or the shape of the character is incorrect, providing guidance on how to improve. In spoken practice, the chatbot can detect the subtle differences between tones and offer feedback on how to adjust the intonation to accurately convey meaning. This immediate feedback is essential for mastering the nuances of the Chinese language and can significantly enhance the learner’s confidence and progress.

C. Continuous engagement

Continuous engagement refers to the ongoing and consistent interaction that AI chatbots provide to language learners. Unlike traditional learning methods that may be confined to specific class times or tutoring sessions, AI chatbots are available 24/7, offering learners the opportunity to practice and engage with the language whenever it suits them. This constant accessibility fosters a learning environment that is not only convenient but also encourages regular practice, which is essential for language acquisition. Continuous engagement helps to maintain language skills and prevents the loss of knowledge that can occur with less frequent practice.⁽¹⁵⁾

In ESL contexts, AI chatbots facilitate continuous engagement by providing a platform where learners can repeatedly practice their English skills. For instance, a learner can engage in daily conversations with an AI chatbot to improve their listening and speaking abilities. The bot can initiate discussions on various topics, from everyday scenarios to more complex themes, ensuring that the learner is consistently exposed to new vocabulary and grammatical structures. This regular interaction helps to solidify language patterns and improves retention. Additionally, the chatbot can send daily language tips or prompts to keep the learner engaged even when they are not actively practicing, ensuring a steady and consistent learning experience.

In TCFL, continuous engagement through AI chatbots is particularly beneficial due to the challenges associated with learning Chinese. The bots can offer a range of interactive activities, such as character recognition games, flashcard reviews, and conversational practice, which can be accessed at any time. For example, a learner might receive daily writing challenges that involve composing short messages or sentences in Chinese, with the chatbot providing immediate feedback and corrections. This regular, low-pressure practice helps learners to build their vocabulary and improve their character writing skills. Moreover, the chatbot can keep learners engaged with cultural content, such as stories or news articles in Chinese, which not only improves language proficiency but also deepens the learner’s understanding of Chinese culture, fostering a more holistic language learning experience.

D. Adaptability to individual learning styles

Adaptability to individual learning styles is a feature of AI chatbots that allows them to tailor the language learning experience to the specific preferences and needs of each learner. Since every individual has a unique way of processing information—whether it be visual, auditory, kinesthetic, or a combination thereof—AI chatbots can dynamically adjust their teaching methods to match these styles. By recognizing and responding to a learner’s strengths and weaknesses, the chatbot can create a personalized learning path that maximizes engagement and retention, leading to more effective language acquisition.⁽¹⁶⁾

In the realm of ESL, AI chatbots can adapt to a learner’s style by offering a variety of learning activities. For visual learners, the chatbot might use images, charts, and diagrams to illustrate vocabulary or grammar points. Auditory learners could benefit from listening exercises, such as podcasts or audio dialogues, which the chatbot can incorporate into the learning sessions. Kinesthetic learners might engage with interactive simulations or role-playing scenarios where they can practice English in a more hands-on way. For example, a kinesthetic learner might use a virtual reality headset to navigate through an English-speaking city, interacting with AI characters in a game-like environment, which reinforces language skills through physical interaction and real-world application.

In TCFL, adaptability to individual learning styles is crucial due to the complexity of the Chinese language. AI chatbots can cater to different learning styles by offering a diverse set of tools and resources. For instance, a visual learner might benefit from the bot’s use of flashcards with Chinese characters and their stroke order animations, helping them to memorize and write characters more effectively. An auditory learner could practice pronunciation with the chatbot through listening exercises that focus on tone differentiation and mimic native speaker intonation. For kinesthetic learners, the chatbot could integrate physical gestures or movements that correspond to certain Chinese phrases or characters, making the learning process more engaging and memorable. By accommodating these different styles, AI chatbots can make the challenging aspects of learning Chinese, such as character recognition and tone mastery, more accessible and enjoyable for all learners.

DESIGN AND IMPLEMENTATION OF AI CHATBOT SYSTEMS FOR ESL AND CFL

A. Chatbot architecture and development

Chatbot architecture and development refer to the structural design and the process of creating an AI-powered conversational agent that can simulate human-like dialogue. This involves several components, including natural language processing (NLP) engines, machine learning algorithms, user interface design, and databases of dialogue and content. The architecture determines how the chatbot interprets user input, generates responses, and learns from interactions to improve over time. Development encompasses the coding, testing, and refinement of these components to ensure the chatbot is user-friendly, responsive, and effective in achieving its educational goals.⁽¹⁷⁾

In the context of ESL, chatbot architecture and development focus on creating a system that can effectively teach and reinforce English language skills. The NLP component must be robust enough to understand and process a wide range of English language inputs, including various accents and dialects. The machine learning algorithms are trained on extensive datasets of English conversations to ensure the chatbot can provide accurate and contextually appropriate responses. The user interface is designed to be intuitive for non-native speakers, with clear prompts and feedback mechanisms. Developers must also consider cultural nuances to make the learning experience relatable and engaging for users from different linguistic and cultural backgrounds.

For TCFL, the chatbot architecture and development process must accommodate the unique challenges of teaching Chinese as a foreign language. This includes handling the complexity of Chinese characters, tones, and grammar. The NLP engine must be capable of understanding and generating text in Chinese, which may involve more sophisticated parsing due to the language’s character-based script. The development process involves creating a comprehensive database of Chinese vocabulary, phrases, and sentences, as well as cultural references to provide context. The user interface must support the display and input of Chinese characters, possibly with features like stroke order animations to aid in character writing. Additionally, the chatbot’s audio capabilities need to be finely tuned to help learners with pronunciation, especially tone recognition and production. The overall goal is to create a chatbot that not only teaches Chinese language skills but also fosters an understanding of Chinese culture and etiquette.

B. Customization for ESL and CFL contexts

Customization in AI chatbot systems refers to the process of tailoring the chatbot’s functionality, content, and user experience to meet the specific needs and preferences of a particular group of language learners. This involves adjusting the chatbot’s algorithms, dialogue patterns, and educational materials to align with the linguistic characteristics, cultural context, and educational goals of the target language acquisition scenario. Customization ensures that the chatbot is not only effective but also relevant and engaging for its users.⁽¹⁸⁾

In the ESL context, customization of AI chatbot systems is crucial to address the diverse backgrounds and learning objectives of English language learners. For instance, a chatbot designed for beginners might focus on basic vocabulary and simple sentence structures, using everyday conversation scenarios that are easily relatable. On the other hand, a chatbot for advanced learners could include more complex grammatical structures, idiomatic expressions, and professional jargon relevant to their fields of work or study. Customization also extends to incorporating regional dialects and accents, as well as cultural references that resonate with the learners’ own experiences, making the learning process more meaningful and immediately applicable.

For TCFL, customization of AI chatbot systems is essential due to the complexities of the Chinese language and the diverse profiles of Chinese language learners. A chatbot for TCFL might be customized to include specific modules for learning Chinese characters, with options to focus on certain character sets or stroke patterns based on the learner’s level. Additionally, the chatbot can be tailored to teach different dialects, such as Mandarin, each with its own unique pronunciation and vocabulary. Cultural customization is also vital; the chatbot can integrate lessons on Chinese traditions, holidays, and social etiquette, providing learners with a deeper understanding of the context in which the language is used. This level of customization helps to create a more personalized and effective learning experience that caters to the individual needs of each learner acquiring Chinese as a foreign language.

C. Role of chatbots in vocabulary development

The role of chatbots in vocabulary development is to provide learners with a dynamic and interactive platform to learn, practice, and retain new words. Chatbots can offer a variety of exercises, such as flashcards, quizzes, and conversational practice, which help learners to expand their vocabulary in a structured yet engaging manner. By integrating new words into realistic dialogue scenarios, chatbots can also aid in understanding word usage and context, thereby enhancing the overall language proficiency of the learner.⁽¹⁹⁾

In the context of ESL, chatbots play a pivotal role in vocabulary development by exposing learners to a wide range of English words in various contexts. For instance, a chatbot can be programmed to introduce new vocabulary through themed conversations, such as shopping, travel, or work, which allows learners to see how words are used in real-life situations. The chatbot can also provide immediate feedback on the correct usage of new terms, helping learners to internalize the vocabulary more effectively. Additionally, by personalizing the learning experience based on the learner’s interests and learning pace, chatbots can motivate ESL students to consistently engage with new words, thereby accelerating their vocabulary growth.

In the realm of TCFL, chatbots are invaluable for helping learners navigate the rich and often complex vocabulary of the Chinese language. Chatbots can be designed to focus on the specific challenges of Chinese vocabulary, such as character recognition, pronunciation, and tone practice. They can offer interactive exercises that reinforce the connection between characters and their meanings, as well as their pronunciation. For example, a chatbot might use spaced repetition techniques to help learners memorize characters and their associated pinyin. Furthermore, by integrating vocabulary into culturally relevant dialogues, chatbots can assist TCFL learners in understanding the connotations and cultural nuances of certain words, which is essential for achieving fluency and comprehension in Chinese.

D. Grammar practice with chatbots

Grammar practice with chatbots involves using AI-driven conversational agents to help language learners improve their understanding and application of grammatical rules. Chatbots can provide interactive exercises, corrections, and explanations that allow learners to engage with grammar concepts in a conversational format. This approach not only helps to reinforce grammar knowledge but also enables learners to practice using grammar in realistic, context-rich scenarios, which is crucial for language acquisition.⁽²⁰⁾

In the context of ESL, chatbots serve as practical tools for grammar practice by offering personalized and immediate feedback on sentence structure, verb conjugation, tense usage, and other grammatical elements. For example, a chatbot can guide a learner through constructing sentences using the correct form of past perfect tense and provide corrections when errors are made. This interactive feedback loop helps ESL students to internalize grammatical rules and improve their written and spoken English. Additionally, chatbots can adapt the level of difficulty and the type of grammar exercises based on the learner’s proficiency, making the learning experience both challenging and achievable.

For learners of Chinese as a foreign language (TCFL), chatbots are particularly beneficial for mastering the unique grammatical structures of the Chinese language. Chinese grammar differs significantly from English, with challenges such as word order, particle usage, and the lack of verb conjugation. A chatbot designed for TCFL can provide structured practice in these areas, for instance, by prompting learners to construct sentences with the correct placement of time words or by using the appropriate measure word with nouns. The chatbot can also offer explanations of grammatical concepts that may not have direct equivalents in the learner’s native language, thereby enhancing comprehension and proficiency in Chinese grammar.

E. Enhancing conversational skills through chatbots

Enhancing conversational skills through chatbots involves using AI-driven conversational systems to improve a learner’s ability to communicate effectively in a target language. Chatbots can simulate real-life conversations, providing learners with opportunities to practice speaking, listening, and responding in a variety of contexts and scenarios. This interactive approach helps to build confidence, fluency, and the ability to navigate social interactions in the target language.⁽²¹⁾

In the realm of ESL, chatbots are invaluable for developing conversational skills. They can create environments that mimic everyday English-speaking situations, such as ordering food, making appointments, or engaging in small talk. For instance, a chatbot might role-play a customer service scenario, allowing the learner to practice polite phrases and handle inquiries. The bot can also provide instant feedback on pronunciation and intonation, which are critical for clear communication. By offering a safe and non-judgmental space to practice, chatbots help ESL students to overcome the fear of speaking and to develop the natural flow of conversation in English.

For learners of Chinese as a foreign language (TCFL), chatbots can be particularly effective in honing conversational skills, which are often challenging due to the language’s tonal nature and different syntactic structure. A TCFL-oriented chatbot can guide learners through typical conversation patterns, including the use of Mandarin’s four tones, common phrases, and appropriate responses in social settings. For example, the chatbot can simulate a marketplace negotiation or a job interview, allowing the learner to practice essential conversational strategies and cultural nuances. This targeted practice helps TCFL students to become more adept at engaging in fluid and culturally appropriate conversations in Chinese.

CASE STUDIES AND EMPIRICAL DATA

A. Successful implementations of AI chatbots in language teaching

Successful implementation of AI chatbots in language teaching refers to the effective integration of chatbot technology into educational settings to facilitate language acquisition. This success is measured by the chatbot’s ability to improve learner outcomes, increase engagement, and provide a personalized learning experience. Key indicators include user satisfaction, language proficiency gains, and the bot’s performance in delivering tailored instruction and feedback.

In the field of ESL, several case studies have demonstrated the successful implementation of AI chatbots. For example, Duolingo’s chatbot, which allows users to practice conversational English, has been shown to significantly improve learners’ speaking and listening skills. A study at a language school in the United States found that students who used a chatbot for additional practice outside of class showed higher rates of participation and better performance on speaking assessments compared to those who did not. These findings highlight the chatbot’s role in providing valuable practice opportunities that complement traditional classroom instruction.⁽²²⁾

In the context of TCFL, empirical data from various educational institutions in China and abroad have shown promising results from the use of AI chatbots. One notable case study from a university in Beijing revealed that students who engaged with a Mandarin chatbot for at least 30 minutes per week showed a 20 % improvement in their spoken Chinese proficiency over a semester. The chatbot was designed to focus on common conversation topics and included features like speech recognition to correct tone usage. Another study from a language center in Europe found that TCFL learners who used a chatbot to practice vocabulary and sentence construction had a higher retention rate and were more motivated to continue their language studies, indicating the chatbot’s positive impact on learner engagement and progress.^(23,24)

B. Analysis of chatbot effectiveness in ESL and CFL settings

Analysis of chatbot effectiveness in ESL and CFL settings involves evaluating the impact of AI chatbots on language learning outcomes within English as a Second Language and Chinese as a Foreign Language educational environments. This analysis typically includes assessing learner engagement, proficiency gains, user satisfaction, and the chatbot’s ability to adapt to diverse learning needs. Researchers look at quantitative data such as test scores and usage statistics, as well as qualitative feedback from learners and educators to determine the overall success and utility of chatbot interventions.⁽²⁵⁾

In ESL settings, the effectiveness of chatbots has been analyzed through a variety of metrics. Studies have shown that chatbots can be particularly beneficial for improving learners’ speaking and listening skills, as they provide a low-pressure environment for practicing conversational English. For instance, an analysis of an ESL chatbot used in a community college revealed that students who regularly interacted with the chatbot made significant progress in their pronunciation and fluency, as measured by pre- and post-tests. Additionally, the chatbot’s ability to provide immediate feedback and personalized exercises was found to increase student motivation and confidence in their language abilities.⁽²⁶⁾

In CFL settings, the effectiveness of chatbots is often assessed by their ability to help learners master the complexities of the Chinese language, such as tones and character recognition. Research conducted in CFL programs has indicated that chatbots can be effective tools for vocabulary acquisition and grammar practice. A case study from a university CFL course showed that students who used a chatbot for daily practice showed a better command of grammatical structures and a wider range of vocabulary compared to those who did not. Furthermore, the chatbot’s role in simulating real-life interactions was found to enhance learners’ cultural competence and their preparedness for communication in authentic Chinese-speaking environments. The analysis also highlighted the importance of the chatbot’s design, with user-friendly interfaces and culturally relevant content being key factors in its effectiveness.⁽³⁾

C. Learner experiences and feedback

Learner experiences and feedback refer to the insights and opinions gathered from students who have used AI chatbots as part of their language learning journey. This feedback is crucial for understanding the usability, educational value, and overall impact of chatbot-based learning tools. It encompasses learners’ perceptions of the chatbot’s effectiveness, the ease of use, the engagement level, and the support it provides in achieving language learning goals. Learner experiences and feedback are essential for iteratively improving chatbot design and functionality to better meet the needs of language learners.⁽²⁷⁾

In ESL settings, learner experiences and feedback often highlight the benefits and challenges of using chatbots for learning English. Students may report that chatbots help them practice speaking and listening skills in a safe and supportive environment, which can be particularly helpful for those who are shy or less confident in their language abilities. Feedback might also indicate that the interactive nature of chatbots keeps them motivated and engaged, with some learners noting that the personalized practice sessions help them to focus on their specific areas of improvement. However, there may also be feedback about the limitations of current chatbot technology, such as difficulties with understanding accents or providing contextually appropriate responses, which can affect the learner’s experience and perceived effectiveness of the tool.⁽²⁸⁾

In TCFL settings, learner experiences and feedback provide valuable insights into how chatbots can support the acquisition of Chinese. Students often appreciate the immediate feedback and the opportunity to practice characters and tones without the pressure of real-time human interaction. Feedback may indicate that chatbots are particularly useful for reinforcing grammatical structures and expanding vocabulary, with learners noting the convenience of having a 24/7 practice partner. Additionally, learners may express satisfaction with the cultural insights provided by the chatbot, which can help them navigate the complexities of Chinese society. On the other hand, feedback may also reveal challenges such as the chatbot’s inability to fully grasp the subtleties of Chinese pronunciation or to engage in advanced level conversations, suggesting areas for future development and refinement of the chatbot technology.⁽²⁹⁾

CHALLENGES AND LIMITATIONS OF USING CHATBOTS IN LANGUAGE TEACHING

A. Technical limitations and constraints

Despite their promise, chatbots face several technical limitations and constraints when applied to language teaching. One of the primary challenges is natural language processing (NLP) capabilities. Chatbots often struggle with understanding and generating natural-sounding language, which can lead to misunderstandings and frustration for learners. The complexity of human language, including idioms, colloquialisms, and context-dependent meanings, can be particularly challenging for AI to navigate.⁽³⁰⁾

Another constraint is the quality of voice recognition. In language learning, accurate pronunciation is vital, and many chatbots have difficulty recognizing and correcting various accents and dialects. This can be a significant barrier for non-native speakers who rely on the chatbot to improve their speaking skills.

Additionally, the integration of chatbots with existing learning management systems (LMS) can be problematic. Technical issues such as compatibility, data security, and user interface design can hinder the seamless incorporation of chatbots into the educational workflow. Furthermore, the cost and expertise required to develop and maintain advanced chatbot systems can be prohibitive for many educational institutions, limiting their accessibility and adoption in language teaching environments. These technical limitations and constraints underscore the need for ongoing research and development to improve the functionality and effectiveness of chatbots in language education.

B. Pedagogical concerns and limitations

While chatbots offer innovative ways to engage language learners, they also present several pedagogical concerns and limitations that educators must consider as shown in table 4. Addressing these pedagogical concerns requires careful design and implementation of chatbot systems, as well as a recognition of their limitations and the need for them to complement, rather than replace, traditional language teaching methods.⁽³¹⁾

Table 4. Pedagogical Concerns and Limitations of Using Chatbots in Language Teaching
Number	Aspect	Elaboration
1	Lack of Human Interaction	Language learning is inherently social, and the absence of human interaction can limit the development of critical interpersonal and communication skills. Chatbots cannot fully replicate the nuances of human conversation, such as non-verbal cues, empathy, and the ability to adapt to the learner’s emotional state.
2	Limited Teaching Ability	Chatbots may excel at providing information and practicing set dialogues, but they often lack the ability to provide nuanced explanations, guide deeper understanding, or offer constructive feedback on complex language tasks. This can hinder the learner’s ability to gain a comprehensive understanding of the language.
3	One-Size-Fits-All Approach	Chatbots typically follow pre-programmed scripts and may not be able to tailor their responses to the individual needs of learners. Language learners have diverse backgrounds, learning styles, and proficiency levels, and a chatbot’s inability to personalize the learning experience can be a significant limitation.
4	Inadequate Error Correction	While chatbots can identify some errors in language use, they are often unable to provide effective error correction or to explain the reasons behind grammatical rules, which is essential for language acquisition.
5	Overreliance on Technology	There is a risk that learners may become overly dependent on chatbots, potentially leading to a lack of autonomy and problem-solving skills. Language learning should encourage independent thinking and the ability to navigate real-life communication without technological support.
6	Motivational Challenges	The motivational dynamics of learning from a chatbot versus a human teacher can be quite different. Some learners may find interacting with a chatbot less motivating, leading to decreased engagement and retention.
7	Ethical and Privacy Concerns	The use of chatbots raises ethical questions about data privacy and the collection of personal information. Learners may be uncomfortable sharing sensitive data with a system that may not have the same legal and ethical safeguards as human educators.
8	Limited Cultural Competence	Language and culture are closely intertwined, and chatbots may not have the depth of cultural knowledge to teach language in a culturally competent manner. This can lead to a superficial understanding of the culture associated with the language being learned.

C. Overcoming the challenges: proposed strategies

To address the challenges posed by chatbots in language teaching, the following strategies can be implemented as shown in table 5. By implementing these strategies, educators can maximize the benefits of chatbots in language teaching while mitigating their limitations, ultimately enhancing the learning experience for students.^(32,33,34)

Table 5. Overcoming the Challenges of Using Chatbots in Language Teaching: Proposed Strategies
Number	Strategy	Elaboration
1	Hybrid Learning Models	Combine chatbot interactions with face-to-face or live online sessions with human teachers to ensure a balance of technology and human interaction. Use chatbots for drills, vocabulary practice, and simple conversations, while reserving complex discussions and in-depth feedback for human educators.
2	Personalization and Adaptive Learning	Develop chatbots with adaptive learning algorithms that can adjust to the learner’s proficiency level and learning pace. Integrate user feedback mechanisms to continuously improve the chatbot’s ability to cater to individual learner needs.
3	Enhanced Error Correction and Feedback	Design chatbots with advanced natural language processing capabilities to provide more accurate and informative feedback. Incorporate a feature where human teachers can review and annotate chatbot conversations to offer additional guidance.
4	Motivational Design	Create gamification elements within the chatbot interface to increase learner engagement and motivation. Design the chatbot with a persona that aligns with the learner’s interests and goals to foster a more engaging learning experience.
5	Professional Development for Educators	Offer training for language teachers on how to effectively integrate chatbots into their teaching practices. Encourage collaboration between educators and chatbot developers to create more pedagogically sound tools.
6	Ethical and Privacy Considerations	Implement strict data protection policies and ensure that the chatbot complies with relevant privacy laws and regulations. Be transparent with learners about how their data is collected, used, and stored.
7	Cultural Competence	Incorporate culturally relevant content and contexts into the chatbot’s dialogues to enhance cultural understanding. Collaborate with cultural experts to ensure that the chatbot can provide accurate cultural insights.
8	Community and Social Interaction	Facilitate online forums or social platforms where learners can discuss their experiences with the chatbot and connect with peers. Organize group activities that require learners to use the language skills practiced with the chatbot in real-world contexts.
9	Continuous Evaluation and Improvement	Regularly assess the effectiveness of the chatbot through learner feedback, performance metrics, and observational studies. Use insights from evaluation to iteratively improve the chatbot’s design and functionality.

STRATEGIES FOR OVERCOMING OBSTACLES AND ENHANCING CHATBOT INTEGRATION

A. Improving chatbot design and functionality

To overcome the obstacles associated with chatbot integration in language teaching and to enhance their design and functionality, the following strategies can be employed that are shown in table 6. By focusing on these strategies, educators and developers can create chatbots that are not only more effective in teaching languages but also more integrated into the broader educational ecosystem, ultimately leading to a more enriching and successful learning experience for students.^(17,35,36)

Table 6. Improving Chatbot Design and Functionality: Strategies for Overcoming Obstacles and Enhancing Integration
Number	Strategy	Elaboration
1	User-Centric Design	Conduct thorough user research to understand the specific needs and preferences of language learners. Design the chatbot interface with simplicity and ease of use in mind, ensuring that it is accessible to learners of all ages and technical abilities.
2	Advanced Natural Language Processing (NLP)	Invest in advanced NLP technologies to improve the chatbot’s ability to understand and generate natural language. Implement machine learning algorithms that allow the chatbot to learn from interactions and improve over time.
3	Rich Multimedia Integration	Integrate multimedia elements such as images, videos, and audio to create a more engaging and immersive learning experience. Use these elements to provide context and visual aids that can help learners better understand the language and culture.
4	Dynamic Conversation Flow	Develop a chatbot with a dynamic conversation flow that can handle various dialogue paths and learner responses. Ensure that the chatbot can maintain a coherent conversation without becoming repetitive or predictable.
5	Customizable Learning Paths	Allow learners to customize their learning paths based on their interests, goals, and learning styles. Enable teachers to tailor the chatbot’s content and difficulty level to match the curriculum and individual student needs.
6	Comprehensive Error Handling	Design the chatbot to provide constructive feedback and correct common errors in a way that is informative and encouraging. Implement a system for the chatbot to recognize when it cannot handle a query and to defer to a human teacher or a more sophisticated AI system.
7	Scalability and Integration	Build chatbots that can scale to accommodate a growing number of users and integrate seamlessly with existing learning management systems (LMS) and educational platforms. Ensure that the chatbot can be updated and maintained without disrupting the learning experience.
8	Feedback Loops	Create mechanisms for ongoing feedback from both learners and educators to continuously refine the chatbot’s performance. Use this feedback to make iterative improvements to the chatbot’s features and educational content.
9	Collaboration with Experts	Work with language teaching experts, linguists, and cultural advisors to ensure the chatbot’s content is accurate and pedagogically sound. Foster partnerships with tech companies and educational institutions to leverage the latest advancements in AI and educational technology.

B. Teacher training and support

Teacher training and support refer to the professional development programs and resources designed to help educators improve their teaching skills, adapt to new technologies, and enhance their overall classroom effectiveness. These initiatives are crucial for ensuring that teachers are equipped to meet the evolving needs of their students and to integrate new tools and methodologies into their teaching practices.⁽³⁷⁾

In ESL (English as a Second Language) settings, teacher training and support are particularly important as educators often face the challenge of teaching English to students from diverse linguistic and cultural backgrounds. Training programs may focus on effective language teaching methodologies, such as the Communicative Approach, as well as on how to use technology, including AI chatbots, to facilitate language learning. Support for ESL teachers might include workshops on cultural sensitivity, language acquisition theories, and practical strategies for incorporating technology into the curriculum.

In TCFL (Teaching Chinese as a Foreign Language) settings, teacher training and support are vital for addressing the unique challenges of teaching Chinese, such as the language’s tones and character-based writing system. Training programs might emphasize the integration of traditional teaching methods with modern technology, including the use of AI chatbots to enhance vocabulary acquisition and pronunciation practice. Support for TCFL teachers could also involve guidance on creating a supportive learning environment that encourages spoken interaction and cultural exchange, as well as ongoing mentorship to help teachers refine their teaching techniques and adapt to the needs of their students.

C. Incorporating chatbots into curriculum development

Incorporating chatbots into curriculum development involves the strategic integration of AI-driven conversational agents into the planning and design of educational programs. This process includes identifying how chatbots can support learning objectives, aligning their capabilities with curriculum goals, and ensuring that their use is seamlessly woven into the fabric of the course material. By doing so, educators can enhance the learning experience, provide personalized practice, and offer immediate feedback to students, thereby enriching the overall language acquisition process.⁽³⁸⁾

In ESL settings, incorporating chatbots into curriculum development can significantly bolster language learning outcomes. Educators can design lessons where chatbots act as virtual conversation partners, helping students practice listening, speaking, reading, and writing skills. For instance, a chatbot might be programmed to conduct role-playing exercises or to guide students through interactive grammar and vocabulary exercises. The chatbot’s integration into the curriculum can be tailored to different proficiency levels, ensuring that beginner, intermediate, and advanced students all benefit from the technology in a way that complements their stage of language development.

In TCFL settings, the incorporation of chatbots into curriculum development presents unique opportunities and challenges. Chatbots can be utilized to help students practice essential Chinese language skills such as character recognition, tone pronunciation, and sentence construction. Curriculum developers might create modules where chatbots assist with the drills and repetition necessary for mastering Chinese characters or with providing real-time corrections on tone usage. Additionally, chatbots can be programmed to introduce elements of Chinese culture, making the learning experience more enriching. However, developers must be mindful of the complexity of the Chinese language and ensure that the chatbot’s capabilities are up to the task of accurately representing the language’s nuances within the curriculum.

THE FUTURE OF AI CHATBOTS IN LANGUAGE EDUCATION

A. Potential advancements in AI technology

The future of AI chatbots in language education is poised to be revolutionized by potential advancements in AI technology. As machine learning algorithms become more sophisticated and natural language processing capabilities continue to evolve, chatbots are expected to become even more adept at mimicking human conversation, providing nuanced feedback, and adapting to learners’ individual needs in real-time. This progress will likely lead to more personalized and effective language learning experiences, with chatbots capable of understanding and responding to a wider range of linguistic complexities and cultural subtleties, thereby enhancing their educational value and making them indispensable tools in the language classroom.

B. Integration of chatbots with other educational tools

The integration of chatbots with other educational tools holds the promise of a more cohesive and dynamic learning ecosystem. By interoperating with learning management systems, virtual reality platforms, and interactive language software, chatbots can enhance the educational experience by providing seamless communication channels, personalized learning paths, and immediate feedback. This synergy allows for a more comprehensive approach to language acquisition, where students can benefit from a variety of resources and methods that complement each other, ultimately leading to a more engaging and effective educational journey.

C. Expanding access to language education through AI chatbots

Expanding access to language education through AI chatbots has the potential to democratize learning by breaking down geographical and financial barriers. By offering interactive language practice at scale, chatbots can reach learners in remote areas or with limited resources, providing them with the opportunity to develop language skills that were previously inaccessible. This inclusive approach not only broadens the audience for language education but also fosters a more diverse and globally connected community of language learners.

CONCLUSIONS

The key findings of this article underscore the transformative potential of AI chatbots in language education, particularly in ESL and CFL contexts, highlighting their ability to provide personalized learning experiences, immediate feedback, and continuous engagement. The article demonstrates through case studies and empirical data that AI chatbots can significantly enhance vocabulary development, grammar practice, and conversational skills, while also acknowledging the challenges of technical limitations and the need for careful integration into curriculum development to maximize their educational impact and expand access to language learning.

AI chatbots play a pivotal role in complementing traditional teaching methods by offering a scalable and adaptive learning tool that can provide individualized instruction, reinforce concepts through repetition, and offer real-time feedback, thereby enriching the language learning experience and supporting teachers in addressing the diverse needs of their students.

In conclusion, advocacy for the thoughtful integration of AI chatbots in language education is essential. By championing the strategic implementation of these tools, educators can ensure that they enhance rather than replace human interaction, support personalized learning paths, and contribute to a more inclusive and effective educational landscape. It is through such intentional and mindful adoption that the true potential of AI chatbots can be realized, benefiting both teachers and learners in the pursuit of language proficiency.

BIBLIOGRAPHIC REFERENCES

1. Edmett A, Ichaporia N, Crompton H, Crichton R. Artificial intelligence and English language teaching: preparing for the future. British Council; 2023. https://doi.org/10.57884/78ea-3c69

2. Huang W, Hew KF, Fryer LK. Chatbots for language learning—are they really useful? A systematic review of chatbot‐supported language learning. J Comput Assist Learn. 2022;38(1):237-57. Available from: https://doi.org/10.1111/jcal.12628

3. Lan YJ, Chung FL, Chang M. A pilot study of preservice teachers accepting and using chatbots to enhance CFL education. In: International Conference on Innovative Technologies and Learning; 2023 Aug; Cham: Springer Nature Switzerland. p. 260-7. Available from: https://doi.org/10.1007/978-3-031-20443-9_30

4. Khan A, Ghani M. Impact of artificial intelligence writing tools on the academic writing skills of ESL learners: A study conducted at graduate level in Pakistan. Pak J Soc Educ Lang. 2024;10(2):228-33. Available from: https://pjsel.jehanf.com/index.php/journal/article/view/1398

5. Fitria TN. Artificial intelligence (AI) technology in OpenAI ChatGPT application: A review of ChatGPT in writing English essay. ELT Forum: J Engl Lang Teach. 2023 Mar;12(1):44-58. Available from: https://doi.org/10.15294/elt.v12i1.64069

6. Zhai C, Wibowo S. A systematic review on artificial intelligence dialogue systems for enhancing English as foreign language students’ interactional competence in the university. Comput Educ Artif Intell. 2023;4:100134. Available from: https://doi.org/10.1016/j.caeai.2023.100134

7. Goh TJ, Chong LY, Chong SC, Goh PY. A campus-based chatbot system using natural language processing and neural network. J Informatics Web Eng. 2024;3(1):96-116. Available from: https://doi.org/10.33093/jiwe

8. Yin J, Goh TT, Hu Y. Interactions with educational chatbots: the impact of induced emotions and students’ learning motivation. Int J Educ Technol High Educ. 2024;21(1):47. Available from: https://doi.org/10.1186/s41239-024-00312-9

9. Mageira K, Pittou D, Papasalouros A, Kotis K, Zangogianni P, Daradoumis A. Educational AI chatbots for content and language integrated learning. Appl Sci. 2022;12(7):3239. Available from: https://doi.org/10.3390/app12073239

10. Huang X, Zou D, Cheng G, Chen X, Xie H. Trends, research issues and applications of artificial intelligence in language education. Educ Technol Soc. 2023;26(1):112-31. Available from: https://doi.org/10.1007/s11528-023-00766-6

11. Belda-Medina J, Calvo-Ferrer JR. Using chatbots as AI conversational partners in language learning. Appl Sci. 2022;12(17):8427. Available from: https://doi.org/10.3390/app12178427

12. Petrović J, Jovanović M. The role of chatbots in foreign language learning: the present situation and the future outlook. In: Artificial intelligence: Theory and applications. 2021. P. 313-30. Available from: https://doi.org/10.1007/978-3-030-65982-1_23

13. Al-Obaydi LH, Pikhart M, Klimova B. ChatGPT and the general concepts of education: can artificial intelligence-driven chatbots support the process of language learning? Int J Emerg Technol Learn. 2023;18(21):39-50. Available from: https://doi.org/10.3991/ijet.v18i21.39236

14. Ruan S, Jiang L, Xu Q, Liu Z, Davis GM, Brunskill E, Landay JA. Englishbot: An AI-powered conversational system for second language learning. In: Proceedings of the 26th International Conference on Intelligent User Interfaces; 2021 Apr; College Station, TX, USA. P. 434-44. Available from: https://doi.org/10.1145/3397481.3450666

15. Hew KF, Huang W, Du J, Jia C. Using chatbots to support student goal setting and social presence in fully online activities: learner engagement and perceptions. J Comput High Educ. 2023;35(1):40-68. Available from: https://doi.org/10.1007/s12528-022-09338-x

16. Kaiss W, Mansouri K, Poirier F. Effectiveness of an adaptive learning chatbot on students’ learning outcomes based on learning styles. Int J Emerg Technol Learn. 2023;18(13). Available from: https://doi.org/10.3991/ijet.v18i13.33935

17. Lin CC, Huang AY, Yang SJ. A review of AI-driven conversational chatbots implementation methodologies and challenges (1999–2022). Sustainability. 2023;15(5):4012. Available from: https://doi.org/10.3390/su15054012

18. Kasinathan V, Mustapha A, Bin CK. A customizable multilingual chatbot system for customer support. Ann Emerg Technol Comput. 2021;5(5):51-9. Available from: http://index.j-ets.net/Published/26_1/ETS_26_1_09.pdf

19. Shi N, Zeng Q, Lee R. Language chatbot–the design and implementation of English language transfer learning agent apps. In: 2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE); 2020 Nov; [Location]. P. 403-7. Available from: https://doi.org/10.1109/AUTEEE50714.2020.9331625

20. Chen MRA, Lin YH. AI chatbot-supported grammar tense learning on EFL students learning effectiveness. In: INTED2023 Proceedings; 2023 Mar 6-8; Valencia, Spain. P. 1207-16. Available from: https://doi.org/10.21125/inted.2023.1134

21. McTear M. Conversational AI: dialogue systems, conversational agents, and chatbots. Springer Nature; 2022. Available from: https://doi.org/10.1007/978-3-030-92838-0

22. Shoukat S, Mamoon R, Arif MF. Enhancing language proficiency through TPACK model and AI applications: a study on effective integration strategies in English language instruction. Pak Lang Humanit Rev. 2024;8(2):540-54. Available from: https://pssri.org.pk/PLHR

23. Liu S, Da J. Technology in Chinese language teaching. In: The Palgrave Handbook of Chinese Language Studies. Palgrave Macmillan; 2020. P. 1-41. Available from: https://doi.org/10.1007/978-981-13-6844-8_1-1

24. Mazumder S, Liu B. Lifelong and continual learning dialogue systems. Springer; 2024. Available from: https://doi.org/10.1007/978-3-031-15730-8

25. Li N, Zhang L. Predicting Chinese language learners’ ChatGPT acceptance in oral language practices: the role of learning motivation and willingness to communicate. J Technol Chinese Lang Teach. 2024;15(1). http://www.tclt.us/journal/2024v15n1/lizhanglauliang.pdf

26. Chuah KM, Kabilan M. Teachers’ views on the use of chatbots to support English language teaching in a mobile environment. Int J Emerg Technol Learn. 2021;16(20):223-37. Available from: https://doi.org/10.3991/ijet.v16i20.20983

27. Ait Baha T, El Hajji M, Es-Saady Y, Fadili H. The impact of educational chatbot on student learning experience. Educ Inf Technol. 2024;29(8):10153-76. Available from: https://doi.org/10.1007/s10639-023-12166-w

28. Jeon J. Exploring AI chatbot affordances in the EFL classroom: young learners’ experiences and perspectives. Comput Assist Lang Learn. 2024;37(1-2):1-26. Available from: https://doi.org/10.1080/09588221.2021.2021241

29. Wang H. The design and evaluation of intelligent computer-assisted language learning tools for beginner learners of Mandarin Chinese [Doctoral dissertation]. Trinity College, Dublin; 2024. Available from: https://arxiv.org/ftp/arxiv/papers/2305/2305.11897.pdf

30. Lidén A, Nilros K. Perceived benefits and limitations of chatbots in higher education. [Bachelor’s thesis]. Department of Informatics; 2020. Available from: https://www.diva-portal.org/smash/get/diva2:1442044/FULLTEXT01.pdf

31. Klímová B, Ibna Seraj PM. The use of chatbots in university EFL settings: research trends and pedagogical implications. Front Psychol. 2023;14:1131506. Available from: https://doi.org/10.3389/fpsyg.2023.1131506

32. Annamalai N, Ab Rashid R, Hashmi UM, Mohamed M, Alqaryouti MH, Sadeq AE. Using chatbots for English language learning in higher education. Comput Educ Artif Intell. 2023;5:100153. Available from: https://doi.org/10.1016/j.caeai.2023.100153

33. Rane N. Chatbot-enhanced teaching and learning: implementation strategies, challenges, and the role of ChatGPT in education. 2023 Jul 21. Available from: https://www.digitallearninginstitute.com/blog/the-impact-of-chat-gpt-on-education

34. Aleedy M, Atwell E, Meshoul S. Using AI chatbots in education: recent advances, challenges, and use cases. In: Artificial Intelligence and Sustainable Computing: Proceedings of ICSISCET 2021. 2022. P. 661-75. Available from: https://link.springer.com/chapter/10.1007/978-3-030-80286-4_54

35. Durall Gazulla E, Martins L, Fernández-Ferrer M. Designing learning technology collaboratively: analysis of a chatbot co-design. Educ Inf Technol. 2023;28(1):109-34. Available from: https://doi.org/10.1007/s10639-022-11162-w

36. Villegas-Ch W, Arias-Navarrete A, Palacios-Pacheco X. Proposal of an architecture for the integration of a chatbot with artificial intelligence in a smart campus for the improvement of learning. Sustainability. 2020;12(4):1500. Available from: https://doi.org/10.3390/su12041500

37. Dhandayuthapani VB. A proposed cognitive framework model for a student support chatbot in a higher education institution. Int J Adv Networking Appl. 2022;14(2):5390-5. Available from: https://www.i-scholar.in/index.php/IJANA/article/view/203285

38. Hsu TC, Huang HL, Hwang GJ, Chen MS. Effects of incorporating an expert decision-making mechanism into chatbots on students’ achievement, enjoyment, and anxiety. Educ Technol Soc. 2023;26(1):218-31. Available from: https://doi.org/10.1007/s10639-022-10870-4

FINANCING

The authors did not receive financing for the development of this research.

CONFLICT OF INTEREST

The authors declare that there is no conflict of interest.

AUTHORSHIP CONTRIBUTION

Conceptualization: Goh Ying Soon.

Formal analysis: Nurul Ain Chua Binti Abdullah.

Project management: Nurul Ajleaa binti Abdul Rahman.

Validation: Chen Yiming.

Drafting - original draft: Goh Ying Soon.

Writing - proofreading and editing: Zhang Suyan.