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Gender and Response Category in Iraqi EFL Learners' Associative Responses to AI-Generated Word Stimuli. | ||
| Journal of English Language Teaching and Learning | ||
| مقاله 19، دوره 18، شماره 37، مهر 2026، صفحه 357-376 اصل مقاله (528.14 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22034/elt.2026.71388.2847 | ||
| نویسندگان | ||
| Marzieh Mehri* 1؛ Salman Hintaw Abdulhussein2؛ pouya Shakerian3 | ||
| 1Assistant Professor, Department of Foreign Language Education, Faculty of Humanities, Salman Farsi University of Kazerun, Kazerun, Iran. | ||
| 2University of Al-Ameed,Karbala,Iraq | ||
| 3MA at Data and Discourse Studies, History and Social Sciences, Technical University of Darmstadt, Darmstadt, Germany | ||
| چکیده | ||
| This study investigated the word associative behavior of Iraqi EFL leaners to expand the current understanding of different types and classifications of the responses to word association tests (WATs) held with the help of AI. The participants’ response behavior was investigated based on the response forms (nouns, verbs, adjectives, adverbs, and prepositions), categories (syntagmatic, paradigmatic, encyclopedic and clang), and quality (concrete versus abstract), regarding the possible role of gender. Besides, the differences in responses considering language proficiency were investigated. Eighty-one 19- to 26-year-old adults (36 males and 45 females), studying in different branches of medicine with two levels of English proficiency (upper intermediate and advanced) were chosen randomly. In this correlational study, after checking their proficiency with the Quick Oxford placement test (QOPT), a word association test, inspired by Wolter’s (2002) and designed by AI, was administered. For both male and female learners, a consistent pattern was observed across response forms and categories with no significant variation in the distribution of responses. Besides, for both genders, the frequency of the abstract responses was more than the concrete ones. Finally, both advanced and upper-intermediate participants exhibited a stable pattern across response categories, with syntagmatic responses being the most frequent. The result revealed that both gender and proficiency may not play any major role in influencing the participants’ word associative behavior in response to AI-generated stimuli. The findings have implications for the sequence of teaching vocabulary items. | ||
| کلیدواژهها | ||
| AI Generated Stimuli؛ Gender؛ Response Category؛ Vocabulary Learning؛ Word Association | ||
| مراجع | ||
|
Aitchison, J. (1994). Words in the mind: An introduction to the mental lexicon (2nd ed.). Blackwell.
Attygalle, N. T., Kljun, M., Quigley, A., Pucihar, K. Č., Grubert, J., Biener, V., Leiva, L. A., Yoneyama, J., Toniolo, A., Miguel, A., Kato, H., & Weerasinghe, M. (2025). Text-to-image generation for vocabulary learning using the keyword method. In T. Li, F. Paternò, K. Väänänen, L. Leiva, L. D. Spano, & K. Verbert (Eds.), Proceedings of the 30th International Conference on Intelligent User Interfaces (pp. 1381–1397). ACM. https://doi.org/10.1145/3643865.3657521
Bahar, M. (2006). Geleneksel-alternatif ölçme ve değerlendirme. Pegem A Yayıncılık.
Coulthard, M., Knowles, M., Moon, R., & Deignan A. (2000). Lexis. Birmingham: Centre for English Language Studies.
Bauer, L. M., & Altarriba, J. (2008). An investigation of sex differences in word ratings across concrete, abstract, and emotion words. The Psychological Record, 58(3), 465–474. https://doi.org/10.1007/BF03395629
Brown, P. S. (2006). A small-scale exploration into the relationship between word-association and learners' lexical development [Unpublished master's thesis]. University of Birmingham.
Cremer, M., Dingshoff, D., de Beer, M., & Schoonen, R. (2010). Do word associations assess word knowledge? A comparison of L1 and L2, child and adult word associations. International Journal of Bilingualism, 15(2), 187–204. https://doi.org/10.1177/1367006910381189
Deignan, A., Knowles, M. Sinclair, J., Willis, D. (1998). Lexis. Birmingham: The University of Birmingham.
Dóczi, B. (2006). Mapping the mental lexicon of pre-intermediate learners: Word associations in a depth of word knowledge elicitation task. In M. Nikolov, & J. Horváth (Eds.), UPRT 2006: Empirical studies in English applied linguistics (pp. 117-137). Pécs: Lingua Franca Csoport.
Faeh, A. G. (2025). Word associations of inexperienced and experienced learners of English and Japanese: Toward a fuller understanding of lexical storage and retrieval in second language learning and teaching. The Language Teacher, 49(4), 9. https://doi.org/10.37546/JALTTLT49.4-2
Fitzpatrick, T., & Thwaites, P. (2020). Word association research and the L2 lexicon. Language Teaching, 53(3), 237–274. https://doi.org/10.1017/S0261444820000105
Galton, F. (1879). Psychometric experiments. Brain, 2(2), 149–162.
Gentner, D. (1982). Why nouns are learned before verbs: Linguistic relativity versus natural partitioning. In S. Kuczaj (Ed.), Language development: Vol. 2. Language, thought, and culture (pp. 38-62). Springer-Verlag.
Hsu, T. C., Chang, C., & Jen, T. (2023). Artificial intelligence image recognition using self-regulation learning strategies: Effects on vocabulary acquisition, learning anxiety, and learning behaviours of English language learners. Interactive Learning Environments. Advance online publication. https://doi.org/10.1080/10494820.2023.2165508
Jiménez, R. M. (2003). Sex differences in L2 vocabulary learning strategies. International Journal of Applied Linguistics, 13(1), 54-77.
Jiménez, R. M. (Ed.). (2010). Gender perspectives on vocabulary in foreign and second language. Basingstoke: Palgrave MacMillan.
Jomaa, N. J., Attamimi, R., & Al Mahri, M. (2025). The use of artificial intelligence (AI) in teaching English vocabulary in Oman: Perspectives, teaching practices, and challenges. World Journal of English Language, 15(3), 1–13. https://doi.org/10.5430/wjel.v15n3p1
Kaya, M., & Taşdere, A. (2016). İlkokul türkçe eğitimi için alternatif bir ölçme değerlendirme tekniği: kelime ilişkilendirme testi (KİT). Turkish Studies International Periodical for The Languages, Literature and History of Turkish or Turkic, 11(9), 803-820. https://doi.org/10.7827/TurkishStudies.9499
Kiss, G. R., Armstrong, C., Milroy, R., & Piper, J. (1973). An associative thesaurus of English and its computer analysis. In A. J. Aitken, R. W. Bailey, & N. Hamilton-Smith (Eds.), The computer and literary studies (pp. 153–165). Edinburgh University Press.
Khazaeenezhad, B., & Alibabaee, A. (2013). Investigating the role of L2 language proficiency in word association behavior of L2 learners: A case of Iranian EFL learners. Theory and Practice in Language Studies, 3(1), 108-115.
Kwong, O. Y. (2013). Exploring the Chinese mental lexicon with word association norms. In Proceedings of the 27th Pacific Asia Conference on Language, Information, and Computation (PACLIC 27) (pp. 153–162). Department of English, National Chengchi University. https://aclanthology.org/Y13-1013
Li, M., & Zhang, L. (2025). Word class effects on L2 Chinese word associations. SAGE Open, 15(1), 1. https://journals.sagepub.com/home/sgo
McCarthy, M. (1990). Vocabulary. Oxford University Press.
Meara, P. & Wolter, B. (2004). V_links: Beyond vocabulary depth. Angles on the English-speaking World, 4, 85-96.
Saffran, E. M., Coslett, H. B., & Keener, M. T. (2003). Differences in word associations to pictures and words. Neuropsychologia, 41(11), 1541–1546. https://doi.org/10.1016/S0028-3932(03)00080-0
Schmitt, N. (2000). Vocabulary in language teaching. Cambridge University Press.
Smadi, A. M. (2020). The role of language proficiency in word association behavior among Jordanian EFL learners. Journal of Literature, Languages and Linguistics, 67, 39, 39-47. http://www.iiste.org/Journals/index.php/JLLL/index
Sunderland, J. (2010). Theorizing gender perspectives in foreign and second language learning. In R. M. Catalán (Ed.), Gender perspectives on vocabulary in foreign and second languages (pp. 1-22). Basingstoke: Palgrave MacMillan.
Tryana, T., & Mahmud, L. H. (2023). Vocabulary Teaching by Words Association. JIIP (Jurnal Ilmiah Ilmu Pendidikan), 6(9), 7246-7253. https://jiip.stkipyapisdompu.ac.id/jiip/index.php/JIIP/issue/view/20
Rapp, R. (2002). The computation of word associations: Comparing syntagmatic and paradigmatic approaches. In COLING 2002: The 19th International Conference on Computational Linguistics (pp. 1-7). https://aclanthology.org/C02-1007/
Rahimi, A., & Haghighi, H. (2009). How learners make mental links with words. California Linguistic Notes, 34(2), 1-26.
Wimhurst, A. (2022). Using word association tests to assess L2 vocabulary proficiency. In C. A. Chapelle (Ed.), The encyclopedia of applied linguistics (pp. 1-6). Wiley. Https://doi.org/10.1002/9781118784235.eelt1020
Wolter, B. (2001). A depth of individual word knowledge model. Studies in Second Language Acquisition, 23, 41-69.
Wolter, B. (2006). Lexical network structures and L2 vocabulary acquisition: The role of L1 lexical/conceptual knowledge. Applied Linguistics, 27(4), 741-747.
Yolcu, G., & Demirel, S. (2018). Word association analysis in different proficiency levels [Unpublished manuscript]. Department of Foreign Language Education, Middle East Technical University.
Zhang, D., & Koda, K. (2017). Assessing L2 vocabulary depth with word associates format tests: Issues, findings, and suggestions. Asian-Pacific Journal of Second and Foreign Language Education, 2(1), 1–10. https://doi.org/10.1186/s40862-017-0024-0 | ||
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