ai-in-language-teaching
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- PaperOpenAlex — TESOL research22 Jul 2026
ENHANCING FOREIGN LANGUAGE TEACHING METHODOLOGY THROUGH ARTIFICIAL INTELLIGENCE: A CASE STUDY OF ENGLISH LANGUAGE LEARNING
Farmonova Naimakhon Furkat kizi
A mixed-method study evaluated AI tools (intelligent tutoring systems, NLP apps, adaptive platforms) for English language teaching in higher education. Results showed improved vocabulary, communicative competence, and learner autonomy, but highlighted challenges in teacher readiness, infrastructure, and ethics. The study contributes to AI-based pedagogical frameworks for language education.
Original abstract
Artificial Intelligence (AI) is rapidly transforming educational practices, particularly in the field of foreign language teaching. This study explores how AI can enhance English language teaching methodology in higher education. Using a mixed-method research design, the study evaluates the impact of AI-based tools such as intelligent tutoring systems, natural language processing applications, and adaptive learning platforms on students’ language proficiency. The findings reveal that AI significantly improves vocabulary acquisition, communicative competence, and learner autonomy. However, challenges related to teacher readiness, infrastructure, and ethical considerations remain. The study contributes to the development of modern AI-based pedagogical frameworks.
- PaperReCALL1 Dec 2025
Examining the effectiveness of integrating corpus-based and AI approaches for English speaking practice
Hsueh Chu Chen, Xiaona Zhou, Jing Xuan Tian
An online English speaking training approach integrating a spoken corpus, generative AI, and text-to-speech AI tools was developed and evaluated. Pre- and post-test results showed improvements in speaking performances, with participants using more complex sentences and reducing vowel errors. Participants had positive attitudes and affirmed the importance of integrating both tools for creating an interactive oral ability learning environment.
Original abstract
This study developed and evaluated an online English speaking training approach that integrates corpora and artificial intelligence (AI) tools. The training integrated a self-developed spoken corpus, generative AI tools, and text-to-speech AI tools. Pre- and post-test results identified improvements in participants’ speaking performances. Participants attempted to use more positive linguistic features (e.g. producing complex sentences more frequently) and avoid using negative linguistic features (e.g. reducing the number of vowel errors) after receiving the training. Participants showed positive attitudes towards this corpus-based and AI-integrated English oral ability learning approach and affirmed the importance of integrating both tools. The corpus helped raise participants’ awareness of features that influence speaking performance and offered prompt engineering and feedback-checking functions, while the generative AI tools provided useful feedback and tailor-made sample responses. Additionally, text-to-speech AI tools offered learners with tailor-made native speaker samples for imitation and helped learners learn pausing. Results also revealed that this approach helped create an interactive oral ability learning environment, and the combination of corpora and AI tools provided more accurate feedback for each subskill of speaking.