Expanding English vocabulary using Google Lens: Insights from a real-time translation

Yusi Rahmawati; Haryani Haryani; Dwi Sulistyorini; Retno Indriyati

doi:10.53873/culture.v11i2.636

Authors

Yusi Rahmawati Politeknik Bumi Akpelni
Haryani Haryani Politeknik Bumi Akpelni
Dwi Sulistyorini Politeknik Bumi Akpelni
Retno Indriyati Politeknik Bumi Akpelni

DOI:

https://doi.org/10.53873/culture.v11i2.636

Keywords:

ESL Learners, Google Lens, Language Learning, Real Time Translation, Vocabulary Acquisition

Abstract

This study explores the effectiveness of Google Lens in enhancing English vocabulary acquisition through its real-time translation capabilities. As technology increasingly integrates into educational practices, innovative tools like Google Lens offer potential benefits for language learners. This research assesses how real-time translation impacts vocabulary acquisition among English as a Second Language (ESL) learners. A mixed-methods approach was employed, involving quantitative analysis of vocabulary test scores before and after the intervention and qualitative analysis of learner experiences gathered through surveys and interviews. Participants included a diverse group of ESL students who used Google Lens to translate and learn new English words in various contexts over a specified period. The findings indicate that Google Lens significantly improves vocabulary retention and comprehension compared to traditional learning methods. Learners reported increased engagement and confidence in their language skills, attributing this to the immediate and contextual feedback provided by the tool. The study concludes that integrating Google Lens into language learning can be a powerful strategy to enhance vocabulary acquisition. This conclusion has practical implications for educators and learners, equipping them with the knowledge to effectively leverage technology in language education and improve their teaching and learning practices.

References

Alifia, N. (2022). Fine art activity strategies are used to master vocabulary at Al-Hidayah boarding school Depok West Java. Jurnal Studi Guru Dan Pembelajaran, 5(2), 170–174. https://doi.org/10.30605/jsgp.5.2.2022.1984

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

Anderson, J. R. (1984). Cognitive psychology and its implications. Freeman.

Annisa, P. (2023). Penerapan teknologi Google Lens dan QR code pada tanaman pertanian. Dst, 3(2), 240–245. https://doi.org/10.47709/dst.v3i2.3130

Arias, J. P., Yoma, N. B., & Vivanco, H. (2010). Automatic intonation assessment for computer-aided language learning. Speech Communication, 52(3), 254-267. https://doi.org/10.1016/j.specom.2009.11.001

Bai, Z. (2018). An analysis of English vocabulary learning strategies. Journal of Language Teaching and Research, 9(4), 849. https://doi.org/10.17507/jltr.0904.24

Bandura, A. (1977). Social Learning Theory. Prentice Hall.

Binambuni, Y. A., Kurniadi, D., & Heriyanto, E. (2024). Interactive storytelling elements in R. L. Stine’s Give Yourself Goosebumps #2: Tick Tock, You’re Dead!. Jurnal CULTURE (Culture, Language, and Literature Review), 11(1), 46–54. https://doi.org/10.53873/culture.v11i1.580

Cahyaningrum, I. O., Kurniadi, D., & Purnomo, B. (2023). How accurate is Google Translate in translating Javanese humour “Mbah Minto vs Bocil” into English version. Acceleration: Multidisciplinary Research Journal, 1(2), 59–69. https://doi.org/10.70210/amrj.v1i02.13

Essafi, M., Moubtassime, M., & Belfakir, L. (2024). Investigating mobile-assisted language learning apps: Babbel, Memrise, and Duolingo as a case study. Journal of Curriculum and Teaching, 13(2), 197. https://doi.org/10.5430/jct.v13n2p197

Flick, U. (2018). An introduction to qualitative research (6th edition). Sage.

French, L. (2021). Questionnaire. contemporaneity: historical presence in visual culture, 9(1), 17–20. https://doi.org/10.5195/contemp/2021.320

Garcia, I., & Pena, M. I. (2011). Machine translation-assisted language learning: Writing for a real audience. Iberica, 22, 145-162.

Juliana, J. (2021). The effect of using comic strips on students’ motivation in mastering vocabulary. JETLi: Journal of English Teaching and Linguistics, 2(2), 65–71. https://doi.org/10.55616/jetli.v2i2.141

Khan, T., Johnston, K., & Ophoff, J. (2019). The impact of an augmented reality application on students’ learning motivation. Advances in Human-Computer Interaction, 2019(7208494), 1–14. https://doi.org/10.1155/2019/7208494

Nuraini, N., Nursamsu, N., Faridy, N., & Bania, A. S. (2022). Identification of ornamental plants via Google Lens based on intersemiotic. Jurnal Penelitian Pendidikan IPA, 8(3), 1243–1251. https://doi.org/10.29303/jppipa.v8i3.1627

Lee, J., & Briggs, B. (2021). Real-time translation tools in language learning: Enhancing engagement and confidence. Language Learning & Technology, 25(1), 78–95.

Liamputtong, P. (2021). Qualitative research methods. Edward Elgar. https://doi.org/10.4337/9781788976954.00014

Nurhayati, N. (2024). The correlation between vocabulary learning strategies and vocabulary mastery. Indo-Mathedu Intellectuals Journal, 5(2), 2172-2187. https://doi.org/10.54373/imeij.v5i2.1017

Taffel, S. (2020). Google Lens: computational photography and platform capitalism. Media, Culture &Amp; Society, 43(2), 237-255. https://doi.org/10.1177/0163443720939449

Tusting, K. (2022). Surveys, questionnaires, interviews, and focus groups. Routledge. https://doi.org/10.4324/9781003045571-27

Venkatesh, P. (2022). Google Lens: a potential cost-effective screening tool for diabetic retinopathy. Medical Hypothesis Discovery & Innovation in Optometry, 3(1), 34-38. https://doi.org/10.51329/mehdioptometry147

Wei-Xun, L., & Jia-Ying, Z. (2024). Impact of AI-driven language learning apps on vocabulary acquisition among English learners. Research Studies in English Language Teaching and Learning, 2(1), 2–10. https://doi.org/10.62583/rseltl.v2i1.32

Xiuli, L. (2023). Investigating the effectiveness of bio-feedback techniques in improving English vocabulary learning in ESL learners. Journal of Commercial Biotechnology, 28(1). https://doi.org/10.5912/jcb1290

Xu, Y. (2022). An Adaptive Learning System for English Vocabulary Using Machine Learning. 2022, 1–9. https://doi.org/10.1155/2022/3501494