درخت حوزه‌های تخصصی

Abstract The necessity of using online education during the Coronal virus pandemic and the barriers created by the absence of face-to-face instruction has shifted the researchers’ focus to web-based instruction and assessment. In this regard, an explanatory sequential mixed-methods design was selected to consider the effects of web-based dynamic assessment (DA) on learners' grammar accuracy, autonomy, and attitudes. To this end, a convenient sample of 60 male English as a Foreign Language (EFL) learners was chosen and categorized into two groups of web-based dynamic assessment and a control group. The data collection tools were a pretest and posttest of grammar, a pretest and posttest of autonomy, and a semi-structured interview. The participants were exposed to web-based DA via a designed web based on the level and the students’ needs in grammar, whereas the learners in the control group learned the grammar through the traditional method of instruction. Based on the results of ANCOVA and Mann-Whitney U test, the learners’ grammar accuracy and autonomy mean scores in web-based DA increased compared to those of the control group. In addition, the results of interview showed that the learners had a positive attitude toward web-based dynamic assessment treatment. The results of the semi-structured interview with the experimental group verified the quantitative results. The platform and methods employed in this study suggest encouraging implications for the field of language instruction which will be discussed.

This study compared the Discussion section of theses written by M.A. English L1 and L2 students regarding lexical sophistication. Certain linguistic features were applied to investigate whether texts written in English L2 had any similarities or differences with native speakers’ (NSs) texts. To achieve this, 20 English L2 theses authored by Iranian M.A. students of Islamic Azad University of Isfahan (Khorasgan), were sampled. As such, 20 English L1 theses written by M.A. English NSs of the same major in the US and UK were randomly downloaded as a comparison corpus of English L1. The corpora were later uploaded to Coh-Matrix that processes text and discourse at different levels of language. Two main statistical procedures for data analysis were the MANOVA (Multivariate Analysis of Variance) and Discriminant Function Analysis. According to Coh-Metrix analysis, the results revealed certain similarities and differences between the corpora. Specifically, more CELEX content words were used in the NSs theses. However, the differences between the two corpora did not reach a statistical significance in terms of other indices of lexical sophistication (i.e., polysemy, concreteness, hypernymy, age-of-acquisition scores, and lexical diversity). Concerning these similarities and differences, academic writing pedagogy and theses writing abilities of Iranian English L2 learners can be improved by applying both word processing tools like Coh-Metrix, appropriate writing strategies and techniques according to the given results of current contrastive corpus study.