Nghiên cứu thực nghiệm về ứng dụng ELSA Speak trong giảng dạy âm tắc xát cho sinh viên năm thứ nhất chuyên ngành Tiếng Anh
Tóm tắt
The trend of integrating Artificial Intelligence (AI) into language education, especially in pronunciation training, is rapidly developing, marking a significant shift towards a data-driven and personalized pedagogy. This study investigates the effectiveness of applying ELSA Speak to teaching the affricatives /tʃ/ and /dʒ/ to first-year English majors at a university in Southern Vietnam. A quasi-experimental research design was conducted with two groups: the experimental group (n = 36), with the support of ELSA Speak as a “virtual tutor,” personalized the practice of the two affricatives (/tʃ/ and /dʒ/) with a closed feedback loop for each student: (1) Listening to standard pronunciation samples; (2) Practicing and recording; (3) Receiving results. The control group (n = 34) learned using traditional methods for 7 weeks. Pretest results showed that the two groups were comparable in terms of entrylevel abilities. Independent sample T-test analysis of post-test resultsrevealed a statistically significant difference (p < 0,001) between the two groups, with the experimental group scoring significantly higher than the control group, focusing on auditory recognition and discrimination abilities, and especially on accurate sound production skills.
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