THE CORRELATION BETWEEN STUDENTS’ PERCEPTIONS OF USING AI CHATBOTS IN DEVELOPING SPEAKING AND THEIR SPEAKING PROFICIENCY SCORE

Febriani, Alya and Maisarah, Ira and Puspa, Adelia (2024) THE CORRELATION BETWEEN STUDENTS’ PERCEPTIONS OF USING AI CHATBOTS IN DEVELOPING SPEAKING AND THEIR SPEAKING PROFICIENCY SCORE. Undergraduated thesis, Universitas Bengkulu.

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Abstract

Despite the growing popularity of AI chatbots in language education and the extensive research on the impact of Artificial Intelligence in learning activities, empirical studies investigating the correlation between the effects of AI technology usage in speaking development and students' speaking proficiency scores in class remain limited. Consequently, this study aims to ascertain whether a correlation exists between perceptions of AI chatbot usage and the Academic Speaking scores of the 2021 cohort at the University of Bengkulu. Overall, this research seeks to provide a more comprehensive understanding of the efficacy of AI-based language learning tools in enhancing speaking skills and to offer guidance for educational practices within the language domain. The study employs a quantitative descriptive technique with a correlational design. The participants are 30 students from the 2021 cohort of the English Education Program at the University of Bengkulu. This research utilizes purposive sampling with questionnaires and Academic Speaking scores as research instruments. The findings reveal that the most commonly used AI tools include ChatGPT (96.7%) with 29 users, Google Translate (86.7%) with 26 users, and Grammarly (66.7%) with 20 users. It is evident that AI chatbots are well-established and frequently used among the 2021 English students at the University of Bengkulu. The study identifies a positive correlation between students' perceptions of AI chatbot usage in speaking development and their speaking proficiency scores. This conclusion is supported by the results of the non-parametric Rank Spearman correlation test, which yielded a correlation coefficient of 0.660 and a significance level of 0.000 < 0.05. According to the hypothesis, if the significance value is less than Alpha, H1 is accepted and H0 is rejected. Thus, it can be concluded that artificial intelligence significantly impacts the development of speaking skills. Keywords: Artificial Intelligence, AI Chatbots, Speaking Proficiency, EFL Students.

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