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This case study examines the integration of Artificial Intelligence (AI) and a Learning Management System (LMS) to enhance oral proficiency among 40 first-year Information Technology (IT) students at the B1 English proficiency level, enrolled in the English for Information Technology 2 course at Thai Nguyen University of Information and Communication Technology (ICTU), Vietnam. Over a 9-week intervention, AI tools (ELSA Speak and Speechling) were embedded within an LMS to deliver speaking tasks aligned with Units 5–8 of the textbook, covering cybersecurity, databases, cloud computing, and IT support. The blended learning framework combined AI-generated pronunciation and fluency exercises with instructor-led discussions and peer reviews to improve pronunciation accuracy, fluency, and self-efficacy in IT-specific oral communication. Ethical AI use was ensured through task authentication, restricted AI access, and ethics workshops. Data from pre- and post-intervention speaking assessments, student surveys, and instructor logs, analysed via paired-samples t-tests and thematic analysis, revealed statistically significant improvements in pronunciation (27.8%, p < 0.001), fluency (23.5%, p < 0.001), and confidence (38.2%, p < 0.001), with 95% ethical compliance. This study highlights the efficacy of AI-supported blended learning within an LMS for technical language education and underscores the importance of ethical frameworks.

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Enhancing Speaking Skills Through AI and Blended Learning in English for Information Technology: A Case Study with First-Year IT Students at a University in Vietnam

  • 会议论文

  • 发表日期：

    2026年

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  • An Thi Hong Duong,
  • Giang Thi Van Phan

摘要

This case study examines the integration of Artificial Intelligence (AI) and a Learning Management System (LMS) to enhance oral proficiency among 40 first-year Information Technology (IT) students at the B1 English proficiency level, enrolled in the English for Information Technology 2 course at Thai Nguyen University of Information and Communication Technology (ICTU), Vietnam. Over a 9-week intervention, AI tools (ELSA Speak and Speechling) were embedded within an LMS to deliver speaking tasks aligned with Units 5–8 of the textbook, covering cybersecurity, databases, cloud computing, and IT support. The blended learning framework combined AI-generated pronunciation and fluency exercises with instructor-led discussions and peer reviews to improve pronunciation accuracy, fluency, and self-efficacy in IT-specific oral communication. Ethical AI use was ensured through task authentication, restricted AI access, and ethics workshops. Data from pre- and post-intervention speaking assessments, student surveys, and instructor logs, analysed via paired-samples t-tests and thematic analysis, revealed statistically significant improvements in pronunciation (27.8%, p < 0.001), fluency (23.5%, p < 0.001), and confidence (38.2%, p < 0.001), with 95% ethical compliance. This study highlights the efficacy of AI-supported blended learning within an LMS for technical language education and underscores the importance of ethical frameworks.