Use of Technology in Teaching Pronunciation Skills

Dixon, Daniel H.

doi:10.1002/9781118784235.eelt0692

Cited by 4 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The non-nativeness of the teachers often becomes the culprit behind the linguistic constraints, leading to the avoidance of teaching pronunciation (Li & Zhang, 2016;Vančová, 2019;Wong, 2018). Meanwhile, factors such as pedagogical priorities, inadequate teaching materials, limited time allocation, unclear teaching methodology, and the absence of training in teaching pronunciation could be the causes of the pedagogical problems (Darcy, 2018;Dixon, 2018).…”

Section: Introductionmentioning

confidence: 99%

“Elsa Speak” in an Online Pronunciation Class: Students’ Voices

Yosintha

Rekha

2022

IEE Ind. J. Eng. Edu.

View full text Add to dashboard Cite

Developing productive skills such as pronunciation requires more than just comprehension. Students should have ample opportunities to practice their knowledge. With the strike of Covid-19 that has abruptly shifted learning from offline to an online setting, lecturers have tried to employ technologies such as Elsa Speak in teaching pronunciation online. With the rising popularity of this application, there should be a study investigating how the students perceive Elsa Speak in online pronunciation learning. To do so, this present study employed a mixed-method approach to know the attitudes of 112 English Department students toward Elsa Speak used in their online pronunciation class. Through an analysis of data collected from questionnaires and interviews, the study found that most participants had a positive attitude toward Elsa Speak concerning its use in their online pronunciation class. Even though there were some negative comments from the participants, the benefits outweighed the downside. To make the integration of Elsa Speak into online pronunciation learning more accommodating to students’ needs, lecturers could take some pedagogical measures, such as supplementing the materials provided by Elsa Speak with those from other resources, increasing their involvement during the learning process, and promoting collaborative activities. ABSTRAKMengembangkan keterampilan produktif seperti pengucapan membutuhkan lebih dari sekedar pemahaman. Siswa harus diberi banyak kesempatan untuk mempraktikkan pengetahuan mereka. Dengan adanya wabah Covid-19 yang mengubah sistem pembelajaran dari luring ke daring, dosen menggunakan teknologi seperti Elsa Speak dalam mengajar mata kuliah pengucapan secara daring. Dengan meningkatnya popularitas dari aplikasi ini, harus ada penelitian yang menyelidiki bagaimana persepsi siswa tentang Elsa Speak dalam pembelajaran pengucapan secara daring. Penelitian ini menggunakan pendekatan metode campuran untuk mengetahui sikap 112 mahasiswa Jurusan Bahasa Inggris terhadap Elsa Speak yang digunakan di kelas pengucapan daring mereka. Melalui analisis data yang dikumpulkan dari kuesioner dan wawancara, peneliti menemukan bahwa sebagian besar mahasiswa memiliki sikap positif terhadap Elsa Speak terkait penggunaannya di kelas mereka. Meskipun terdapat beberapa komentar negatif dari partisipan, manfaat Elsa Speak lebih besar daripada kerugian yang ditimbulkan. Supaya integrasi Elsa Speak ke dalam pembelajaran pengucapan secara daring lebih mengakomodasi kebutuhan mahasiswa, dosen dapat mengambil beberapa langkah pedagogis, seperti menggunakan materi tambahan untuk memberi variasi terhadap materi yang disediakan oleh Elsa Speak, meningkatkan keterlibatan dosen selama proses pembelajaran, dan mengimplementasikan kegiatan pembelajaran yang kolaboratif.

show abstract

Section: Introductionmentioning

confidence: 99%

“Elsa Speak” in an Online Pronunciation Class: Students’ Voices

Yosintha

Rekha

2022

IEE Ind. J. Eng. Edu.

View full text Add to dashboard Cite

show abstract

“…In English as a Foreign Language (EFL) contexts, teachers often neglect or avoid pronunciation. Insufficient time allocation, methodological uncertainties, pedagogical priorities, inadequate materials, and inadequate pronunciation teaching training are often factors causing this situation (Dixon, 2018;Isabelle, 2018). In the Indonesian context, lack of confidence caused by non-nativeness only adds to the teaching and assessment process challenges of students" pronunciation.…”

Section: Introductionmentioning

confidence: 99%

Automatic Caption Features on Google Meet as a Pronunciation Assessment Tool

Ramadhika

Yosintha

Yunianti

2022

IEE Ind. J. Eng. Edu.

View full text Add to dashboard Cite

This study aims to find out the use Google Meet Automatic Caption feature to assist teachers of non-native English to assess their students' English pronunciation. We used a mixed-method with the explanatory-sequential approach following it. This research study was done at Tidar University with 12 participants, further reduced to 4 in the participant selection step. As the data were both quantitative and qualitative, we used the Word Error Rate (WER) formula quantitatively and Qualitative Content Analysis qualitatively. The findings show that Artificial Intelligence (AI) has a very sensitive system in transforming sounds into written forms. It also has an auto-correction system that sometimes can substitute a word with a meaningless one if a speaker pronounces the word unclearly or to the nearest word if a speaker mispronounces it. Even though it does not accurately process the punctuation and there is no sufficient correction on grammar, we believe the AI can help teachers in a pronunciation assessment.ABSTRAKPenelitian ini bertujuan untuk mengetahui penggunaan fitur Teks Otomatis pada Google Meet untuk membantu para guru Bahasa Inggris bukan penutur asli saat menilai pengucapan bahasa Inggris siswa mereka. Kami menggunakan metode penelitian campuran dengan pendekatan eksplanatori-sekuensial. Penelitian ini dilakukan di Universitas Tidar dengan jumlah peserta sebanyak 12 orang yang dikurangi menjadi 4 orang pada tahap seleksi peserta. Data penelitian bersifat kuantitatif dan kualitatif. Untuk menganalisa data secara kuantitatif digunakan rumus Word Error Rate (WER). Sedangkan, secara kualitatif mengunakan Analisis Isi Kualitatif. Hasil penelitian menunjukkan bahwa AI (Artificial Intelligence/ Kecerdasan buatan) memiliki sistem yang sangat sensitif dalam mengubah suara menjadi bentuk tulisan. Fitur ini juga memiliki sistem koreksi otomatis yang terkadang dapat menggantikan kata yang tidak berarti jika pembicara mengucapkan kata dengan tidak jelas atau diubah ke kata terdekat jika pembicara salah mengucapkan kata tersebut. Meskipun tidak memproses tanda baca secara akurat dan tidak ada koreksi yang memadai pada tata bahasa, kami yakin AI dapat membantu para guru dalam penilaian pengucapan. How to Cite: Ramadhika, B., Yosintha, R., Yunianti, S. S. (2022). Automatic Caption Features on Google Meet as a Pronunciation Assessment Tool. IJEE (Indonesian Journal of English Education), 9(2), 396-410. doi:10.15408/ijee.v9i2.22482

show abstract

EFL students’ achievement and attitudes towards flipped pronunciation class: correlational study

Bin-Hady

Hazaea

2021

PRR

View full text Add to dashboard Cite

Purpose Existing research has examined English as a foreign language (EFL) students’ attitudes towards flipped learning. However, no study seems to have correlated students’ achievement and their attitudes towards flipped learning. Yemeni EFL students also face pronunciation problems and they lack technology-enhanced language learning. The flipped learning approach promotes active learning and increases students’ learning outcomes. This study aims to measure the achievement level and the attitudes of Yemeni EFL students towards flipped pronunciation classrooms. It also correlates between achievement and attitudes towards this new experience. Design/methodology/approach Using a correlational research design, quantitative and qualitative data were collected through a test, questionnaire and structured interview from an intact class of Yemeni EFL students at the College of Education in Socotra. Findings The one-sample t-test analysis shows that the respondents scored high in the achievement test. The analysis of both the questionnaire and the structured interview revealed that the students have a positive attitude towards the flipped pronunciation classroom. The correlation analysis indicated a high-level positive relationship between students’ achievement and their attitudes where r = 0.779 with p < 0.001, two-tailed. Research limitations/implications The present study has some limitations regarding the sample size. This context-specific study recruited the available EFL class at the College of Education in Socotra, Hadhramout University. It would be more reliable should the study compared large groups of students so that the results can be generalized. Practical implications The study recommends using flipped learning to enhance pronunciation among EFL students. Originality/value This study contributes to the correlational studies in flipped learning.

show abstract

Use of Technology in Teaching Pronunciation Skills

Cited by 4 publications

References 5 publications

“Elsa Speak” in an Online Pronunciation Class: Students’ Voices

“Elsa Speak” in an Online Pronunciation Class: Students’ Voices

Automatic Caption Features on Google Meet as a Pronunciation Assessment Tool

EFL students’ achievement and attitudes towards flipped pronunciation class: correlational study

Contact Info

Product

Resources

About