Predictive Power of Involvement Load Hypothesis and Technique Feature Analysis across L۲ Vocabulary Learning Tasks
- سال انتشار: 1397
- محل انتشار: فصلنامه آموزش و پژوهش زبان، دوره: 6، شماره: 24
- کد COI اختصاصی: JR_JFL-6-24_009
- زبان مقاله: انگلیسی
- تعداد مشاهده: 190
نویسندگان
Department of English Language Teaching, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran: Department of English Language Teaching, Khouzestan Science and Research Branch, Islamic Azad University, Ahvaz, Iran
Department of English Language Teaching, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
چکیده
Involvement Load Hypothesis (ILH) and Technique Feature Analysis (TFA) are two frameworks which operationalize depth of processing of a vocabulary learning task. However, there is dearth of research comparing the predictive power of the ILH and the TFA across second language (L۲) vocabulary learning tasks. The present study, therefore, aimed to examine this issue across four vocabulary learning tasks (i.e., reading with glosses, keyword techniques, word card, and reading and finding the words in text) ranked differently by the ILH and the TFA. To this end, ۸۰ English as a foreign language (EFL) learners were randomly assigned to one of four tasks of learning ۱۶ target words. The results of one-way ANOVA, LSD Post hoc tests, and multiple regression analyses showed that the TFA had a better explanatory power than the ILH in predicting vocabulary learning gains. The findings highlight the TFA as a more powerful framework.کلیدواژه ها
involvement load hypothesis, technique feature analysis, Vocabulary Learning Task, vocabulary learning, EFL learnersاطلاعات بیشتر در مورد COI
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