داوود امینی

L2 Motivational Self System (Dörnyei, 2005, 2009) holds a remarkable potency in explaining the long-term routes to L2 acquisition. Meanwhile, due to the prevalence of dynamic systems perspective, the theory has been awaited to account for the affective and cognitive aspects of L2 learning. The present study attempted to test an integrated model to examine the correlations between components of the revised L2MSS, L2 emotions of Enjoyment and Boredom, Intended Learning Effort, Vigilant and Eager L2 Use, and L2 Proficiency utilizing structural equation modeling. The data was obtained from 350 TOEFL test takers in ETS official centers in Iran. The results demonstrated the strongest prediction of Intended Learning Effort by Ought L2 Self/Own, coming next to the Ideal L2 Self/Own and Ideal L2 Self/Other. Ideal L2 Self/Own and L2 Learning Experience were positive predictors of L2 Enjoyment, whereas Ought L2 Self/Other and L2 Learning Experience had a positive and negative impact on L2 Boredom, respectively; L2 Enjoyment predicted Intended Learning Effort and Eager L2 Use positively, whereas L2 Intended Learning Effort Vigilant L2 Use were predicted negatively and positively by Boredom, respectively. Moreover, Eager L2 Use and Intended Learning Effort were positive predictors of L2 Proficiency; however, Vigilant L2 Use was conversely related to L2 Proficiency. Overall, the findings illustrate the superiority of a promotion orientation to L2 learning and the equal importance of quality and quantity of the Motivated Learning Behavior, which has significant pedagogical implications in terms of motivational and self-regulatory learning strategies in designing and managing L2 classroom tasks.

Emotional words are assumed to have a processing advantage over neutral words due to their emotional content. Meanwhile, this advantage depends on other word features such as frequency and the characteristics of the processor and context of learning. Accordingly, the current study investigated the simultaneous impacts of L2 words’ emotional valence and frequency, and L2 user’s gender on word recognition time in a natural reading context. 43 intermediate EFL learners read 36 sentences in a coherent text for comprehension while their eye movements were recorded by eye-tracker. The findings revealed that participants processed the positive, negative, and neutral words identically based on eye fixation time. However, the frequency effect was attained for both valenced and neutral words. Also, no significant gender differences were approved in terms of recognition time though male participants tended to process all word types slightly faster than female ones. The lack of processing difference between valenced and neutral words is attributed to the disembodiment of L2 emotional words and learning experience of the participants as late EFL learners. These learners have been deprived of affective socialization and the affective sensory experience in their development of L2 emotional words. The absence of valence/frequency interaction is attributed to the L1/L2 relationship in terms of the target words. Although witnessed gender effect did not reach a significance level, it is suggested that the processing of emotional words be viewed in a multidimensional framework where the characteristics of the word, the processor, and the learning context are taken into account

Most of the models accounting for L2 oral production have deemed a significant role for vocabulary knowledge in this process. Previous studies have demonstrated a positive relationship between different aspects of lexical knowledge and performance or proficiency of second language skills including the speaking performance. Meanwhile, the findings have suggested a determining role for the task type used for measuring speaking performance when one or more aspects of lexical knowledge are in focus. This study was conducted to investigate the relationship between the EFL Learners’ deep vocabulary knowledge (DVK) and speaking performance by scrutinizing the mediating role of task type. To this end, 102 bachelor ELT students were given Word Associate Test to measure their DVK, and a planned presentation task and unplanned tasks of description, narration and reasoning to elicit speaking performance. The elicited samples of speaking performance were transcribed and analyzed in terms of fluency, accuracy, lexical complexity and grammatical complexity. Structural equation modeling indicated a lack of causal relationship between DVK and aspects of speaking performance as measured with both planned and unplanned tasks. However, mixed results were obtained in the case of the correlations of fluency, accuracy, grammatical complexity and lexical complexity with DVK across different tasks. Although the findings do not provide evidence for a strong relationship between DVK and speaking performance when DVK is analyzed in isolation from other aspects of vocabulary knowledge, the variation witnessed in findings provide further proof for the importance of task effectiveness in the study of lexical access. 

The practice of ‘writing to learn’ has been propounded as fast-tracking the dynamic process of noticing problems in L2 writing. However, a marked melioration in learners’ attempted output requires a form of corrective feedback, among which modeling has proven to bear vigorous input enhancement effects. The present study attempted to inspect what EFL learners notice throughout their own output and exposure to model texts and how this noticing acts upon their short-term and long-term writing performance. In a repeated measure quasi-experimental design, the performance of 43 Iranian EFL learners on narrative writing tasks was collected upon pre-test, post-test, and delayed post-test. The participants indicated their noticing of linguistic problems through note-taking during the writing task followed by the exposure to two model texts and two revisions of the original writing, immediately, and two months later. The type of linguistic features noticed was studied through qualitative analysis. Paired-samples t-tests were conducted to compare students' accuracy performance before and after noticing. The results indicated that learners’ grammatical accuracy was improved by noticing. As to the nature of incorporated features, learners' noticing played a prompting role in the effectiveness of models since learners retained those lexical and grammatical features compatible with their own noticing. It is argued that the participants' engagement in output activity has increased their awareness of the required linguistic features, facilitating their noticing of those features through exposure to positive feedback. The findings provide further evidence for the constructive role of output in language learning.