Gemini AI-Supported Digital Posters in EFL Classroom: Lexical Depth and Two-Week Retention

Authors

  • Uni Maharani Universitas Negeri Yogyakarta, Indonesia
  • Sudiyono Sudiyono Universitas Negeri Yogyakarta, Indonesia
  • Yuyun Yulia Universitas Negeri Yogyakarta, Indonesia

DOI:

https://doi.org/10.33394/jollt.v14i4.21032

Keywords:

Digital posters, Gemini AI, Vocabulary learning, Lexical depth, Vocabulary retention

Abstract

Limited lexical depth and the difficulty to retain words after teaching are issues for junior high school students who learn to speak English as a foreign language. This study investigated vocabulary learning and student perceptions of a Gemini AI-supported digital poster project in a Grade 8 classroom in Palembang, Indonesia. A mixed-methods quasi-experiment was conducted on two intact classes (N = 48; 24 per group) in six meetings. The experimental group explored meanings, context and associated meanings using Gemini AI and produced Canva posters through repeated practice, peer interaction and teacher guidance. The 30 item vocabulary assessment was done before instruction and immediately afterward and two weeks later. Fifteen item questionnaires and six semi-structured interviews were used to extract perception information. The experimental and control mean post-test was 84.37 and 71.04 respectively. The two-week delayed means were 80.92 and 66.13 as compared to the final results from the summaries. The post-test mean difference was 13.33 (95% CI [9.34, 17.32], p < .001) and the delayed difference was 14.79 (95% CI [10.65, 18.93], p < .001). These cross-sectional tests do not establish a group-by-time effect. Students generally described interest, contextual support and creativity as well as connectivity problems, uneven digital skills and a dependence on AI. The instructional package was associated with higher immediate and two-week delayed scores, but its individual components cannot be separated. We need to be mindful of teacher monitoring, checking AI responses, privacy protection and the need for AI literacy and education.

Author Biographies

Uni Maharani, Universitas Negeri Yogyakarta

English Language Education, Faculty of Languages, Arts, and Culture, Universitas Negeri Yogyakarta, Jl. Colombo No.1, Karang Malang, Sleman, Yogyakarta, Indonesia

Sudiyono Sudiyono, Universitas Negeri Yogyakarta

English Language Education, Faculty of Languages, Arts, and Culture, Universitas Negeri Yogyakarta, Jl. Colombo No.1, Karang Malang, Sleman, Yogyakarta, Indonesia

Yuyun Yulia, Universitas Negeri Yogyakarta

English Language Education, Faculty of Languages, Arts, and Culture, Universitas Negeri Yogyakarta, Jl. Colombo No.1, Karang Malang, Sleman, Yogyakarta, Indonesia

References

Alghasab, M. B. (2025). English as a foreign language (EFL) secondary school students’ use of artificial intelligence (AI) tools for developing writing skills: Unveiling practices and perceptions. Cogent Education, 12(1), 2505304. https://doi.org/10.1080/2331186X.2025.2505304

Al-khresheh, M. H., Almayez, M., & Alruwaili, S. F. (2026). Working memory, attention control, and vocabulary retention in AI (ChatGPT)-assisted foreign language learning: A structural cognitive modelling approach. Journal of Intelligence, 14(4), 62. https://doi.org/10.3390/jintelligence14040062

Alsagoor, J., Albakri, G. S., Alaudan, R., & Alyami, R. H. (2025). Exploring the impact of ChatGPT on vocabulary acquisition in EFL learners: A mixed-methods study on AI-assisted language learning. Forum for Linguistic Studies, 7(9), 1173–1185. https://doi.org/10.30564/fls.v7i9.10257

Bachiri, Y. A., Mouncif, H., Bouikhalene, B., & Hamzaoui, R. (2024). Integrating Ai-Based Speech Recognition Technology to Enhance Reading Assessments Within Morocco’s Tarl Program. Turkish Online Journal of Distance Education, 25(4), 1–15. https://doi.org/10.17718/tojde.1335062

Bao, G., & Peng, X. (2024). The effects of the General Word List and language proficiency on EFL learners’ vocabulary knowledge. Frontiers in Psychology, 15, 1289106. https://doi.org/10.3389/fpsyg.2024.1289106

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). Sage.

Hwang, W.-Y., Luthfi, M. I., & Liu, Y.-F. (2024). Ai-Enhanced Video Drama-Making for Improving Writing and Speaking Skills of Students Learning English as a Foreign Language. Innovation in Language Learning and Teaching, 1–18. https://doi.org/10.1080/17501229.2024.2437655

Jin, X., & Luo, N. (2026). Working memory capacity and lexical retention in AI-assisted vocabulary learning as predictors of EFL reading comprehension. Acta Psychologica, 263, 106343. https://doi.org/10.1016/j.actpsy.2026.106343

Kundu, A., & Bej, T. (2025). AI in school EFL learning: A systematic review of impact pathways for engagement, achievement, and satisfaction. Journal of Language and Education, 11(4), 131–148. https://doi.org/10.17323/jle.2025.22083

Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x

Oktapiani, I. U., Ilham, I., Humaira, H., Bafadal, F., Adebayo, M., & Fasih, P. (2024). The Effectiveness of English-Subtitled Videos in Enhancing Speaking, Listening and Vocabulary Skills: A Meta-Analysis. Journal of Languages and Language Teaching, 12(1), 56. https://doi.org/10.33394/jollt.v12i1.9501

Pan, J. (2024). AI-driven English Language Learning Program and Academic Writing Integrity in the Era of Intelligent Interface. English Language Teaching and Linguistics Studies, 6(4), p120. https://doi.org/10.22158/eltls.v6n4p120

Qian, D. D. (2002). Investigating the relationship between vocabulary knowledge and academic reading performance: An assessment perspective. Language Learning, 52(3), 513–536. https://doi.org/10.1111/1467-9922.00193

Read, J. (2000). Assessing vocabulary. Cambridge University Press.

Rosyada-AS, A., & Apoko, T. W. (2023). Investigating English Vocabulary Difficulties and Its Learning Strategies of Lower Secondary School Students. Journal of Languages and Language Teaching, 11(3), 489. https://doi.org/10.33394/jollt.v11i3.8404

Şimşek, B., Direkci, B., Koparan, B., Akbulut, S., Şimşek, E. E., Gülmez, M., & Ökmen, D. N. (2026). Artificial intelligence-assisted vocabulary teaching: A meta-analysis study. Frontiers in Artificial Intelligence, 9, 1806700. https://doi.org/10.3389/frai.2026.1806700

Wandari, T., Unsiah, F., & Sahar, R. (2024). Utilizing Wordwall.Net on the Improvement of Students’ Vocabulary Mastery: An ICT-Based Lesson. Journal of Languages and Language Teaching, 12(2), 952. https://doi.org/10.33394/jollt.v12i2.10754

Wang, Y., Wu, J., Chen, F., Wang, Z., Li, J., & Wang, L. (2024). Empirical assessment of AI-powered tools for vocabulary acquisition in EFL instruction. IEEE Access, 12, 128000–128015. https://doi.org/10.1109/ACCESS.2024.3446657

Zano, K. (2022). Breadth and Depth-Vocabulary Knowledge and Reading Comprehension in an English First Additional Language Context. Journal of Languages and Language Teaching, 10(2), 223. https://doi.org/10.33394/jollt.v10i2.4827

Downloads

Published

2026-10-12

How to Cite

Maharani, U., Sudiyono, S., & Yulia, Y. (2026). Gemini AI-Supported Digital Posters in EFL Classroom: Lexical Depth and Two-Week Retention. JOLLT Journal of Languages and Language Teaching, 14(4), 1194–1208. https://doi.org/10.33394/jollt.v14i4.21032

Issue

Section

Articles

Citation Check