فهرست نشریات علمی دسترسی آزاد ایران

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.