Tesis

The effect of using artificial intelligence-powered english language speech assistant (elsa speak) on students’ pronunciation ability in non-english department / Wini Ranti

Abstrak
One of the problems faced by English learners in Indonesia has been the difference in phonemes between English and Indonesian which caused difficulty in pronouncing words with the correct pronunciation. In the era of Artificial Intelligence there were many applications available to assist with the learning process including pronunciation learning. This study aimed to determine the effect of the ELSA application on the pronunciation ability of students who were from non-English departments and their perceptions after using the application. The study employed a quasi-experimental method with 48 second-semester students residing in the campus dormitory from various study programs as subjects. Data were collected through audio recordings of tests and a closed-ended questionnaire distributed to students after they participated in learning with the ELSA Speak application. The result of the quantitative analysis shows that the comparison of post-test scores revealed a significance value of 0.015 indicating a significant difference between the control and experimental groups (p lt 0.05). This result led to the rejection of the null hypothesis (H0) demonstrating that the treatment for the experimental group was more effective in improving student test scores. Consequently the findings supported the conclusion that the ELSA Speak application had a significantly positive impact on students pronunciation abilities compared to the conventional methods used by the control group. Moreover the results of student perceptions revealed that 66.7% of students had a high perception of the ELSA Speak application 29.2% had a medium perception and 4.2% had a low perception. This indicated that most students in the experimental group viewed the ELSA Speak app positively finding it useful and effective for improving their English pronunciation skills. The high level of positive perception underscores the app s potential as a valuable learning tool that could be widely adopted in educational settings. Thus the ELSA Speak application proved effective in enhancing students pronunciation skills and students perceptions of its use were very positive. The use of ELSA Speak as a learning aid could have a significant impact on English pronunciation learning. This study underscored the importance of Second Language Acquisition (SLA) by showing that the ELSA Speak application utilizing AI technology effectively corrected pronunciation errors caused by language transfer. It also advanced the understanding of technology integration in education revealing that tools like ELSA Speak facilitate adaptive learning and enhance student motivation. These findings highlighted the vital role of technology in improving the phonological aspects of language learning. This study had several limitations including the use of a closed-ended questionnaire and a limited sample from only one institution. The closed-ended questionnaire restricted the depth of feedback suggesting that future research should employ open-ended questionnaires or interviews to gain detailed insights into students perceptions after using the application. Furthermore since the study involved students from only one institution the results might not be generalizable to a broader population. Future research is recommended to use open-ended questionnaires or interviews and to involve participants from various institutions to obtain more comprehensive and in-depth results.

Informasi Detail

DDC

Rt 420.83 RAN e

Prodi

Universitas Negeri Malang. Program Studi Pendidikan Bahasa Inggris, 2024.

Deskripsi Fisik

xvii, 147 lembar. : ilus. : 30 cm

Bahasa

No Reg

00567/RT/24

Edisi

Tesis (Pascasarjana)--Universitas Negeri Malang. 2024

Subjek

1. BAHASA INGGRIS - BERBICARA - MEDIA PEMBELAJARAN
2. BAHASA INGGRIS - BERBICARA - HASIL BELAJAR
3. ENGLISH - SPEAKING - LEARNING MEDIA

Pembimbing

1. Prof. Dr. Sri Rachmajanti, Dip.tesl, M.pd; 2. Dr. Sintha Tresnadewi, M.pd

Lampiran Berkas