AI-Powered Applications for Improving EFL Students’ Speaking Proficiency in Higher Education

Authors

  • Rania Muhammad Qassrawi

    Birzeit University, Ramallah, Palestine
  • Aya ElMashharawi

    University College of Applied Sciences, Gaza, Palestine
  • Mahmoud Itmeizeh

    Palestine Ahliya  University, Bethlehem, Palestine
  • Mohammed H. M. Tamimi

    Palestine Polytechnic University, Hebron, Palestine

DOI:

https://doi.org/10.30564/fls.v6i5.6966
Received: 29 July 2024 | Revised: 14 August 2024 | Accepted: 16 August 2024 | Published Online: 14 November 2024

Abstract

As Artificial Intelligence systems increasingly dominate various sectors in this technology-driven era, educational institutions are eager to integrate innovative tools and applications into the teaching and learning experience to enhance students' abilities, performance, skills and achievements. This study aimed to examine the effectiveness of utilizing Google Assistant, an AI-based app, in improving students’ English speaking performance. The research utilized a mixed-methods approach, combining both quantitative and qualitative data. Quantitatively, a pre-post speaking test was conducted with participating students before and after the intervention (using the Google Assistant app). Following the experiment, qualitative data were collected through focus group discussions with some of the participants. The findings revealed significant improvements in students’ overall speaking performance and sub-skills. The use of the Google Assistant application notably enhanced EFL students’ fluency and interaction, followed by pronunciation, vocabulary, content and relevance, and spoken grammar, respectively. Additionally, based on the participants' discussions, several benefits of using this AI-based application were identified, including providing language practice and resources, engaging and motivating learners, and immersing students in a self-directed learning experience. However, some challenges were also inducted, particularly regarding accessibility, connectivity and technical issues. Consequently, several conclusions and recommendations were drawn based on these findings.

Keywords:

AI-Powered; EFL Students; Speaking Proficiency

References

[1] Williams, R., Park, H.W., Oh, L., et al., 2019. PopBots: Designing an artificial intelligence curriculum for early childhood education. In Proceedings of the AAAI Conference on Artificial Intelligence. 33(1), 9729–9736.

[2] Lin, P., Van Brummelen, J., Lukin, G., et al., 2020. Zhorai: Designing a conversational agent for children to explore machine learning concepts. Proceedings of the AAAI Conference on Artificial Intelligence. 34(9), 13381–13388. DOI: https://doi.org/10.1609/aaai.v34i09.7061

[3] Nan, J., 2020. Research of Application of Artificial Intelligence in Preschool Education. Journal of Physics: Conference Series. 1607, 012119. DOI: https://doi.org/10.1088/1742-6596/1607/1/012119

[4] Ge, D., Wang, X., Liu, J., 2021. A Teaching Quality Evaluation Model for Preschool Teachers Based on Deep Learning. International Journal of Emerging Technologies in Learning. 16(3), 127–143. DOI: https://doi.org/10.3991/ijet.v16i03.20471

[5] Kewalramani, S., Kidman, G., Palaiologou, I., 2021. Using Artificial Intelligence (AI)- Interfaced Robotic Toys in Early Childhood Settings: A Case for Children's inquiry literacy. European Early Childhood Education Research Journal. 29(5), 652–668. DOI: https://doi.org/10.1080/1350293X.2021.1968458

[6] Russell, S.J., Norvig, P., 2016. Artificial intelligence: A modern approach. Prentice Hall: NJ, USA. Available from: https://zoo.cs.yale.edu/classes/cs470/materials/aima2010.pdf

[7] Solanki, S.L., Pandrowala, S., Nayak, A., et al., 2021. Artificial intelligence in the perioperative management of major gastrointestinal surgeries. World Journal of Gastroenterology: WJG. 27(21), 2758–2770. DOI: https://doi.org/10.3748/wjg.v27.i21.2758

[8] Knapp, S., 2006. Artificial intelligence: Past, present, and future. VOX of Dartmouth.

[9] Cordeschi, R., 2007. AI Turns Fifty: Revisiting its Origins. Applied Artificial Intelligence. 21, 259–279. DOI: https://doi.org/10.1080/08839510701252304

[10] Roll, I., Wylie, R., 2016. Evolution and Revolution in Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education. 26(2).

[11] Hinojo-Lucena, F, Aznar-Díaz, I., Cáceres-Reche, M., et al., 2019. Artificial Intelligence in Higher Education: A bibliometric study on its impact in the scientific literature. Education Sciences. 9(1), 51.

[12] Zawacki-Richter, O., Marín, V.I., Bond, M., et al., 2019. Systematic Review of Research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education. 16(1), 1–27.

[13] Della-Ventura, M., 2017. Creating Inspiring Learning Environments by Means of Digital Technologies: A Case Study of the Effectiveness of WhatsApp in Music Education. EAI Endorsed Transactions on e-Learning. 4(4), 1–9. DOI: https://doi.org/10.4108/eai.26-7-2017.152906

[14] Wang, Y.J., 2017 Discussion on Artificial Intelligence and Future Business Model. China Journal of Commerce. 17, 132–133.

[15] Chan, K., Zary, N., 2019. Applications and Challenges of Implementing Artificial Intelligence in Medical Education: Integrative Review. JMIR Medical Education. 5(1), 1–16. DOI: https://doi.org/10.2196/13930

[16] Rodrigues, F., Oliveira, P., 2014. A System for Formative Assessment and Monitoring of Students' Progress. Computers & Education. 76. DOI: https://doi.org/10.1016/j.compedu.2014.03.001.

[17] Marsh, J.A., 2017. The Internet of Toys: a Posthuman and Multimodal Analysis of Connected Play. Teachers College Record, Columbia University. 119, 1–32.

[18] Arnott, L., Palaiologou, I., Gray, C., 2018. Digital Devices, Internet-enabled Toys and Digital Games: The changing nature of young children's learning ecologies, experiences and pedagogies. British Journal of Educational Technology. 49(5).

[19] Chen, X., Zou, D., Xie, H., et al., 2022. Two Decades of Artificial Intelligence in Education: Contributors, Collaborations, Research Topics, Challenges, and Future Directions. Educational Technology & Society. 25(1), 28–47.

[20] Brynjolfsson, E., Mitchell, T., 2017. What Can Machine Learning Do? Workforce Implications. Science. 358(6370), 1530–1534. DOI: https://doi.org/10.1126/science.aap8062

[21] Gori, M., 2017. Machine Learning: A Constraint-based Approach. Morgan Kaufmann: Burlington, MA.

[22] Karmani, P., Chadio, A., Korejo, I., et al., 2019. A Review of Machine Learning for Healthcare Informatics Specifically Tuberculosis Disease Diagnostics: First International Conference, INTAP 2018; Bahawalpur, Pakistan; 23–25 October 2018. pp. 50–61.

[23] Kumari, R., 2021. Introduction to Deep Learning and its Applications. Analytic Steps. Available from: https://www.analyticssteps.com/blogs/introduction-deep-learning-and-its-applications (cited 11 October 2022).

[24] Katz, S., 2021. AI Improving Assistant Conversations. Tech Explore. Available from: https://techxplore.com/news/2021-04-ai-google-conversations.html (cited 11 October 2022).

[25] Chaney, A.L., Burk, T.L., 1998. Teaching Oral Communication in Grades K-8. Allyn & Bacon: Boston.

[26] Thornbury, S., 2005. How to Teach Speaking. Longman Pearson.

[27] Brown, H.D., 2001. Teaching by Principles: An Interactive Approach to Language Pedagogy, 2nd ed. Addison Wesley Longman: New York, NY.

[28] Abidin, A., Al-Bawaleez, M., Abidin, S., et al., 2022. Analysis of EFL Learners' Language Proficiency Development Across Different Social Media Platforms. Theory and Practice in Language Studies. 12(9),1756–1761, DOI: https://doi.org/10.17507/tpls.1209.07

[29] Omaggio, A., 2001. Teaching Language in Context, 3rd ed. Heinle & Heinle: Boston.

[30] Krashen, S.D., Terrell, T.D., 1983. The Natural Approach: Language Acquisition in the Classroom. Pergamon: Oxford.

[31] Wadsworth, B.J., 1996. Piaget's Theory of Cognitive and Affective Development: Foundations of Constructivism. Longman Publishing: London.

[32] Hurlock, E., 2010. Child Development. McGraw: New York, NY.

[33] Vartiainen, H., Tedre, M., Valtonen, T., 2020. Learning Machine Learning with Very Young Children: Who is teaching whom? International Journal of Child-Computer Interaction. 25, 100182.

[34] Garg, T., 2020. Artificial intelligence in medical education. The American Journal of Medicine. 133(2), 68. DOI: https://doi.org/10.1016/j.amjmed.2017.10.035

[35] Fomichov, V., Fomichova, O., 1995. The Artificial Intelligence Theory and Highly Effective Methods of Teaching Young Children Foreign Languages. Cybernetica. 38(4), 321–344.

[36] Canamero, L., Lewis, M., 2016. Making new “new AI” friends: Designing a social robot for diabetic children from an embodied AI perspective. International Journal of Social Robotics. 8(4), 523–537.

[37] Florea, S.R., 2019. Artificial Intelligence and Education. In Proceedings of the 22nd International Conference on Control Systems and Computer Science (CSCS), IEEE (2019); Bucharest, Romania; 28–30 May 2019. pp. 381–382.

[38] Zovko, V., Gudlin, M., 2019. Artificial Intelligence as a Disruptive Technology in Education. In Proceedings of the 9th International Conference the Future of Education (2019); Florence, Italy; 27–28 June 2019. Available from: https://conference.pixel-online.net/files/foe/ed0009/FP/5803-ENT3951-FP-FOE9.pdf

[39] Sofian, M., Raisya, H., Junor, S., et al., 2022. Speaking To Devices: Can We Use Google Assistant To Foster Students' Speaking Skills? JOLLT Journal of Languages and Language Teaching. 10(4), 570. DOI: https://doi.org/10.33394/jollt.v10i4.5808

[40] Lynley, M., 2016. Google unveils Google Assistant, a virtual assistant that's a big upgrade to Google Now. TechCrunch. AOL. Retrieved in May, 2023.

[41] Su, J., Yang, W., 2022. Artificial intelligence in early childhood education: A scoping review. Computers and Education: Artificial Intelligence. 3(2022), 1–14. DOI: https://doi.org/10.1016/j.caeai.2022.100049

[42] Underwood, J., 2021. Speaking to machines: motivating speaking through oral interaction with intelligent assistants. In: Beaven, T., Rosell-Aguilar, F. (Eds.). Innovative language pedagogy report. pp. 127–132.

[43] Zou, B., Du, Y., Wang, Z., et al., 2023. An investigation into artificial intelligence speech evaluation programs with automatic feedback for developing EFL learners' speaking skills. SAGE Open. 1–9.

[44] Tzu-Yu, T., Howard, C., 2020. The impact of Google Assistant on adolescent EFL learners' willingness to communicate, Interactive Learning Environments. 1–19.

[45] Anggara, D., 2019. The Influence of Using Google Assistant on the Students' Pronunciation Ability of the Tenth Grader of Smk Muhammadiyah Sekampung East Lampung[ Unpublished Master's Thesis]. Tarbiyah and Teacher Training Faculty, English Education Department. Lampung Timur. Available from: https://repository.metrouniv.ac.id/id/eprint/394/1/SKRIPSI%20DIKI%20ANGGARA%20%28Student%20Number.1501070164%29%20-%20Perpustakaan%20IAIN%20Metro.pdf

[46] Sing, P., Embi, M., Hashim, H., 2019. Ask the Assistant: Using Google Assistant in Classroom Reading Comprehension Activities. International Journal of New Technology and Research (IJNTR). 5(7), 39–43. Available from: https://www.researchgate.net/publication/334820962

[47] Creswell, J.W., 2014. Educational Research: Planning, Conducting and Evaluating Quantitative and Qualitative Research, 4th ed. Pearson: Harlow.

[48] Fraenkel, J., Wallen, N., Hyun, H., 2018. How to Design and Evaluate Research in Education, 10th ed. McGraw-Hill: New York, NY.

[49] Leech, N.G., Barrett, K.C., Morgan, G.A., 2011. SPSS for intermediate statistics: Use and interpretation, 4th ed. Lawrence Erlbaum Associates, Inc.: Mahwah, NJ.

[50] Qassrawi, R., 2023. Education 3.0 underpinned with the heutagogical approach for a smooth shift to distance learning in higher education. International Journal of Education and Practice. 11(1), 1–13.

[51] Qassrawi, R., Al Karasneh, S., 2023. Benefits of Facebook usage (as a Web 2.0 application) in foreign language instruction in higher education: A meta-analysis study. Cogent Arts & Humanities. 10(1). DOI: https://doi.org/10.1080/23311983.2023.2185447

[52] UNESCO. Director-General, 2017- (Azoulay, A.)., 2017. Programme and meeting document. (ERI-2018/WS/1 REV.1). UNESCO.

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How to Cite

Rania Muhammad Qassrawi, Aya ElMashharawi, Mahmoud Itmeizeh, & Mohammed H. M. Tamimi. (2024). AI-Powered Applications for Improving EFL Students’ Speaking Proficiency in Higher Education. Forum for Linguistic Studies, 6(5), 535–549. https://doi.org/10.30564/fls.v6i5.6966

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Vol. 6 , Iss. 5 (November 2024)

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Copyright © 2024 Moussa Diagne Faye, Vini Yves Bernadin Loyara, Amadou Keita, Mamadou Diop, Angelbert Chabi Biaou, Mahamadou Koita, Hamma Yacouba

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