How Effective Are Computer-Assisted Pronunciation and YouTube-Based Instructions in Improving Oral English Proficiency Among Secondary School Students?

Authors

Olufunke Olatoye , Oluwakemi Olurinola

DOI:

10.70211/ltsm.3026-7196.73

Published:

2025-11-01

Abstract

This study investigates the effectiveness of Computer-Assisted Pronunciation Instruction (CAPI) and YouTube-based instruction in enhancing oral English proficiency among Nigerian senior secondary school students. A quasi-experimental design was employed, involving three groups: the CAPI group, the YouTube group, and a control group. The study utilized an Oral English Language Proficiency Test (OELPT), administered before and after the treatments, to assess students' pronunciation improvements. Data were analyzed using Analysis of Covariance (ANCOVA) to determine the main and interaction effects of the treatment, gender, and language spoken at home. The results revealed a significant effect of the treatment on students' oral proficiency (F = 14.530, p < 0.05), with both CAPI and YouTube-based instruction outperforming the control group. However, gender and language spoken at home did not significantly influence the outcomes (p > 0.05). There were also no significant interaction effects between treatment and these demographic factors, suggesting that the treatments were equally effective for both male and female students and regardless of the language spoken at home. These findings highlight the effectiveness of CAPI and YouTube as technology-based tools for improving oral English proficiency, with implications for language instruction in diverse educational contexts. This study contributes to the growing body of research on technology-enhanced language learning, providing evidence of the efficacy of CAPI and YouTube-based instruction in secondary school settings, particularly in resource-constrained environments. The findings suggest that integrating digital tools into language education can offer a scalable, accessible solution to improving students' oral proficiency, regardless of their socio-demographic backgrounds.

Keywords:

CAPI YouTube-based instruction Oral English proficiency Language learning technology Pronunciation improvement Secondary education Speech recognition

References

Y. Alsuhaibani, H. S. Mahdi, A. Al Khateeb, H. A. Al Fadda, and H. Alkadi, “Web-based pronunciation training and learning consonant clusters among EFL learners,” Acta Psychol. (Amst)., vol. 249, p. 104459, Sep. 2024. https://doi.org/10.1016/j.actpsy.2024.104459

X. Van Ha, L. T. Nguyen, and B. P. Hung, “Oral corrective feedback in English as a foreign language classrooms: A teaching and learning perspective,” Heliyon, vol. 7, no. 7, p. e07550, Jul. 2021. https://doi.org/10.1016/j.heliyon.2021.e07550

O. Sheredekina, I. Karpovich, L. Voronova, and T. Krepkaia, “Case Technology in Teaching Professional Foreign Communication to Law Students: Comparative Analysis of Distance and Face-to-Face Learning,” Educ. Sci., vol. 12, no. 10, p. 645, Sep. 2022. https://doi.org/10.3390/educsci12100645

Y. Li, “Current problems with the prerequisites for flipped classroom teaching—a case study in a university in Northwest China,” Smart Learn. Environ., vol. 5, no. 1, p. 2, Dec. 2018. https://doi.org/10.1186/s40561-018-0051-4

M. H. Al-khresheh, “Phonetic challenges in English: the impact of mispronunciation of the bilabial plosive /p/ on communication among Saudi EFL learners,” Cogent Arts Humanit., vol. 11, no. 1, Dec. 2024. https://doi.org/10.1080/23311983.2024.2390777

L. Yang, “Student Engagement With Teacher Feedback in Pronunciation Training Supported by a Mobile Multimedia Application,” Sage Open, vol. 12, no. 2, Apr. 2022. https://doi.org/10.1177/21582440221094604

C. J. McCartan, J. Roberts, and J. Jordan, “Centre‐based early education interventions for improving school readiness: A systematic review,” Campbell Syst. Rev., vol. 19, no. 4, Dec. 2023. https://doi.org/10.1002/cl2.1363

M. Farrús, “Automatic Speech Recognition in L2 Learning: A Review Based on PRISMA Methodology,” Languages, vol. 8, no. 4, p. 242, Oct. 2023. https://doi.org/10.3390/languages8040242

S. Inceoglu, W.-H. Chen, and H. Lim, “Monitoring student behavior in autonomous automatic speech recognition-based pronunciation practice,” System, vol. 124, p. 103387, Aug. 2024. https://doi.org/10.1016/j.system.2024.103387

W. Sun, “The impact of automatic speech recognition technology on second language pronunciation and speaking skills of EFL learners: a mixed methods investigation,” Front. Psychol., vol. 14, Aug. 2023. https://doi.org/10.3389/fpsyg.2023.1210187

T. W. Apoko and B. Waluyo, “Social media for English language acquisition in Indonesian higher education: Constructivism and connectivism frameworks,” Soc. Sci. Humanit. Open, vol. 11, p. 101382, 2025. https://doi.org/10.1016/j.ssaho.2025.101382

S. Jiang and H. Zhao, “Learning English vocabulary via Instagram or YouTube: Surveying the impacts on motivation, growth mindfulness, willingness to communicate, and enjoyment from the lens of self-determination theory,” Learn. Motiv., vol. 89, p. 102089, Feb. 2025. https://doi.org/10.1016/j.lmot.2024.102089

Ü. Çoban Sural and Z. Yaşar Sağlık, “Next-generation learning experience: The effect of technology-assisted and printed context-based vocabulary activities on vocabulary knowledge and learning motivation,” Educ. Inf. Technol., vol. 29, no. 16, pp. 20823–20853, Nov. 2024. https://doi.org/10.1007/s10639-024-12688-x

X. Zhou and Y. S. Goh, “What shapes tertiary learners' experiences and challenges in mobile-assisted seamless vocabulary learning? A case of Chinese as a foreign language,” Acta Psychol. (Amst)., vol. 257, p. 105123, Jul. 2025. https://doi.org/10.1016/j.actpsy.2025.105123

A. S. Getie, “Factors affecting the attitudes of students towards learning English as a foreign language,” Cogent Educ., vol. 7, no. 1, Jan. 2020. https://doi.org/10.1080/2331186X.2020.1738184

A. M. Vieriu and G. Petrea, “The Impact of Artificial Intelligence (AI) on Students' Academic Development,” Educ. Sci., vol. 15, no. 3, p. 343, Mar. 2025. https://doi.org/10.3390/educsci15030343

A. Jatmiko, N. Armita, Irwandani, T. Saputro, and M. Aridan, “Development of Science Learning Videos with the Canva Application on Socioscientific Issues Content,” E3S Web Conf., vol. 482, p. 05004, Jan. 2024. https://doi.org/10.1051/e3sconf/202448205004

M. Bashori, R. van Hout, H. Strik, and C. Cucchiarini, “I Can Speak: improving English pronunciation through automatic speech recognition-based language learning systems,” Innov. Lang. Learn. Teach., vol. 18, no. 5, pp. 443–461, Oct. 2024. https://doi.org/10.1080/17501229.2024.2315101

T. Dillon and D. Wells, “Effects of Pronunciation Training Using Automatic Speech Recognition on Pronunciation Accuracy of Korean English Language Learners,” English Teach., vol. 78, no. 1, pp. 3–23, Mar. 2023. https://doi.org/10.15858/engtea.78.1.202303.3

A. Leis, “How speech-to-text technology affects pronunciation gains and self-confidence in EFL learners,” Comput. Assist. Lang. Learn., pp. 1–24, Aug. 2025. https://doi.org/10.1080/09588221.2025.2534498

W. Yan, V. L. Lowell, and L. Yang, “Developing English language learners' speaking skills through applying a situated learning approach in VR-enhanced learning experiences,” Virtual Real., vol. 28, no. 4, p. 167, Nov. 2024. https://doi.org/10.1007/s10055-024-01061-5

C. L. Yuen and N. Schlote, “Learner Experiences of Mobile Apps and Artificial Intelligence to Support Additional Language Learning in Education,” J. Educ. Technol. Syst., vol. 52, no. 4, pp. 507–525, Jun. 2024. https://doi.org/10.1177/00472395241238693

M. A. Mekheimer, “Beyond the textbook: A year-long exploration of VODcasts in EFL education,” Educ. Inf. Technol., vol. 30, no. 4, pp. 4777–4793, Mar. 2025. https://doi.org/10.1007/s10639-024-12900-y

Q. Feng, H. Luo, W. Li, T. Chen, and N. Song, “Effects of gender diversity on college students' collaborative learning: From individual gender to gender pairing,” Heliyon, vol. 9, no. 6, p. e16237, Jun. 2023. https://doi.org/10.1016/j.heliyon.2023.e16237

J. Lin, “The structural relationships among L2 motivation, out-of-class informal learning, and oral proficiency: A multiple-group structural equation modeling study,” Lang. Teach. Res., Aug. 2023. https://doi.org/10.1177/13621688231189030

S. A. Adeniran et al., “Differentiated instruction for improved primary school learners' outcomes in basic science: a mixed-methods study,” Int. J. Sci. Educ., pp. 1–26, Aug. 2025. https://doi.org/10.1080/09500693.2025.2524868

S. S. Bratlie, V. Grøver, R. Lekhal, S. Chen, and V. Rydland, “Home literacy environment, language use, and proficiency: Bilingual profiles in young learners,” J. Appl. Dev. Psychol., vol. 96, p. 101728, Jan. 2025. https://doi.org/10.1016/j.appdev.2024.101728

L. Xu, T. Abdullah, and X. Tang, “Impacts of Family Environment on Chinese University Students' English Language Proficiency: The Mediating Effect of Parenting Styles,” Sage Open, vol. 14, no. 4, Oct. 2024. https://doi.org/10.1177/21582440241289802

J.-Y. Choi, S. Jeon, and F. Arabzadehjafari, “Learning Two Languages: Dual Language Learning Patterns, Predictors, and Outcomes,” Early Educ. Dev., vol. 35, no. 6, pp. 1214–1234, Aug. 2024. https://doi.org/10.1080/10409289.2023.2233395

Y. Liu, F. binti Ab Rahman, and F. binti Mohamad Zain, “A systematic literature review of research on automatic speech recognition in EFL pronunciation,” Cogent Educ., vol. 12, no. 1, Dec. 2025. https://doi.org/10.1080/2331186X.2025.2466288

C. Tejedor-García, V. Cardeñoso-Payo, and D. Escudero-Mancebo, “Automatic Speech Recognition (ASR) Systems Applied to Pronunciation Assessment of L2 Spanish for Japanese Speakers,” Appl. Sci., vol. 11, no. 15, p. 6695, Jul. 2021. https://doi.org/10.3390/app11156695

M. H. Al-khresheh, “Bridging technology and pedagogy from a global lens: Teachers' perspectives on integrating ChatGPT in English language teaching,” Comput. Educ. Artif. Intell., vol. 6, p. 100218, Jun. 2024. https://doi.org/10.1016/j.caeai.2024.100218

N. Pellas, “The influence of sociodemographic factors on students' attitudes toward AI-generated video content creation,” Smart Learn. Environ., vol. 10, no. 1, p. 57, Nov. 2023. https://doi.org/10.1186/s40561-023-00276-4

W. L. Q. Oga-Baldwin and L. K. Fryer, “Girls show better quality motivation to learn languages than boys: latent profiles and their gender differences,” Heliyon, vol. 6, no. 5, p. e04054, May 2020. https://doi.org/10.1016/j.heliyon.2020.e04054

S. Malakul and I. Park, “The effects of using an auto-subtitle system in educational videos to facilitate learning for secondary school students: learning comprehension, cognitive load, and satisfaction,” Smart Learn. Environ., vol. 10, no. 1, p. 4, Jan. 2023. https://doi.org/10.1186/s40561-023-00224-2

S. Kim and H.-C. Kim, “The Benefits of YouTube in Learning English as a Second Language: A Qualitative Investigation of Korean Freshman Students' Experiences and Perspectives in the U.S.,” Sustainability, vol. 13, no. 13, p. 7365, Jun. 2021. https://doi.org/10.3390/su13137365

Author Biographies

Olufunke Olatoye, Olabisi Onabanjo University

Author Origin : Nigeria

Department of Science and Technology

ORCID iD orcid.org/0009-0005-4709-4723

Oluwakemi Olurinola, Olabisi Onabanjo University

Author Origin : Nigeria

Department of Science and Technology

ORCID iD orcid.org/0000-0002-7502-8142

Downloads

Download data is not yet available.

Similar Articles

1 2 3 4 5 6 > >> 

You may also start an advanced similarity search for this article.