The role of artificial intelligence in mproving chinese listening skills

Аннотация

This study investigates the role of Artificial Intelligence (AI) in improving Chinese listening comprehension, emphasizing the effectiveness of AI-powered tools and applications. AI’s integration into language learning has proven to enhance listening skills, especially in tonal languages like Chinese. This research examines how AI-driven platforms, such as intelligent tutors, virtual assistants, and interactive apps, support Chinese listening practice. These tools allow learners to practice at their own pace, with varying difficulty levels, and engage through multimedia features. The purpose is to highlight AI’s potential to make language education more accessible, efficient, and tailored to individual needs. Using a quantitative approach, the study will survey learners who have used AI tools for listening practice, focusing on aspects like tone recognition. The survey targets undergraduate students in Kazakhstan who have employed AI tools to improve their Chinese listening skills. The findings are expected to offer insights into AI’s ability to provide interactive and personalized learning experiences. Keywords: Artificial Intelligence (AI), Chinese Listening Comprehension, Language Learning Technology, AI-Powered Educational Tools, Multimedia Language Practice 82 STUDENTLERDI BIRLESTIRIW: XALÍQARALÍQ IZERTLEWLER HÁM PÁNLER BOYINSHA BIRGE ISLESIW 1-XALÍQARALÍQ STUDENTLER KONFERENCIYASÍ. NÓKIS, 2025-JÍL 20-21-MAY INTRODUCTION. In recent years, the integration of Artificial Intelligence (AI) into language education has significantly transformed the ways in which listening skills are developed and assessed. Listening comprehension, particularly in tonal languages such as Chinese, poses unique challenges due to its reliance on subtle variations in tone, pitch, and pronunciation. Traditional teaching methods often struggle to meet the diverse learning preferences and pace of individual students. However, AI- powered tools and platforms offer innovative solutions by creating immersive and adaptive listening environments. Concurrently, the rapid proliferation of mobile technologies and the widespread adoption of smartphones and tablet devices have rendered mobile tools an essential component of both daily life and educational practice. In this context, Mobile-Assisted Language Learning (MALL) has emerged as a prominent area of inquiry within language education research [1]. Kazakh scholar [2] emphasizes that AI-based technologies in language learning not only increase motivation but also improve students’ autonomy and listening engagement. Her research highlights the effectiveness of AI tools in multilingual settings, noting that learners gain from contextualized, AI-generated speech input that mirrors authentic listening situations. Similarly, Kukulska-Hulme [3] supports the role of AI in creating immersive and efficient learning experiences. AI, formally recognized as a field of study during the Dartmouth Conference in 1956, has seen substantial advancements since the 2010s with the development of deep learning, speech recognition, and natural language processing [4]. These technological breakthroughs have enabled the creation of intelligent systems capable of delivering real-time feedback, speech modeling, and individualized listening practice. Mobile applications, virtual tutors, and AI-enhanced platforms now simulate authentic conversational contexts, providing learners with opportunities to improve listening comprehension outside the traditional classroom setting. Chinese scholar Li Jun [5] explores the challenges and limitations of AI in language learning, particularly for Chinese as a foreign language. Li discusses the difficulty of AI systems in accurately replicating the complex linguistic features of Chinese, such as its tonal nature and the regional variations in pronunciation. Despite these challenges, Li emphasizes the potential of AI tools to bridge learning gaps by providing continuous, individualized practice. A growing body of research supports the pedagogical value of AI in language learning. Kukulska- Hulme [3] argues that AI can personalize learning trajectories, enhancing learner engagement and outcomes. Ultimately, this study will contribute to a deeper understanding of how AI can improve Chinese listening skills, shedding light on its effectiveness, challenges, and potential for future educational practices. MATERIALS AND METHOD. This study utilized a quantitative research design to investigate the effectiveness of Artificial Intelligence (AI) tools in enhancing Chinese listening skills among university students. Data were collected through a structured, self-administered questionnaire, focusing on usage frequency, learner perceptions, and challenges related to AI-assisted listening. The sample consisted of 30 purposively selected students enrolled in intermediate to advanced Chinese language courses, all with prior experience using AI-powered applications for listening practice. Three key