No abstract

Throughout the past decade, evaluating teachers' success has become a crucial issue due to the increased motivation on teacher accountability. In view of that the purpose of the present study is to determine EFL (English as a foreign language) teachers' success in the Iranian institutional context based on students' perspectives. More specifically, the present study surveyed any significant correlation between teachers' practices of continuing professional development (CPD) strategies and teachers' success. For this purpose, a CPD model was suggested and verified using partial least squares structural equation modeling (PLS-SEM), to examine CPD factors contributing to EFL teachers' success. A total of 316 English-major institutional teachers in Iran completed the CPD questionnaire. Besides, about 30% of their students, 828 students, are asked to fill in teachers' success questionnaire, which intended to check students' opinions on how successful they measured their teachers in teaching. Findings specified that practice of CPD strategies had a strong direct predicting power on EFL teachers' success. It was illustrated that "updating" construct strongly affects both "collaborating" and "reflecting." Moreover, "reflecting" moderately influence "collaborating" and "collaborating" intensely affects "decision making." The results, specifically, highlight the fact that one to be a successful teacher in the field of EFL should be a good decision maker in the field too.

Baddeley's grammatical reasoning test is a quick and efficient measure of fluid reasoning which is commonly used in research on cognitive abilities and the impact of stresses and environmental factors on cognitive performance. The test, however, is verbal and can only be used with native speakers of English. In this study, we adapted the test for application in the Persian language using a different pair of verbs and geometrical shapes instead of English letters. The adapted test had high internal consistency and retest reliability estimates. It also had an excellent fit to a one-factor confirmatory factor model and correlated acceptably with other measures of fluid intelligence and participants' grade point average (GPA).

The Hierarchical Diagnostic Classification Model (HDCM) reflects on the sequences of the presentation of the essential materials and attributes to answer the items of a test correctly. In this study, a foreign language reading comprehension test was analyzed employing HDCM and the generalized deterministic-input, noisy and gate (G-DINA) model to determine and compare respondents’ mastery profiles in the test’s predefined skills and to illustrate the relationships among the attributes involved in the test to capture the influence of sequential teaching of materials on increasing the probability of getting an item a correct answer. Furthermore, Differential Item Functioning (DIF) analysis was applied to detect whether the test functions as a reason for the gender gap in participants’ achievement. Finally, classification consistency and accuracy indices are studied. The results showed that the G-DINA and one of the HDCMs fit the data well. However, although the results of HDCM showed the existence of attribute dependencies in the reading comprehension test, the relative fit indices highlight a significant difference between the G-DINA and HDCM, favoring G-DINA. Moreover, results indicate that there is a significant difference between males and females in six items in favor of females. Besides, classification consistency and accuracy indices specify that the Iranian University Entrance Examination holds a 71% chance of categorizing a randomly selected test taker consistently on two distinct test settings and a 78% likelihood of accurately classifying any randomly selected student into the true latent classes. As a result, it can be concluded that the Iranian University Entrance Examination can be considered as a valid and reliable test.