بهروز کلانتری

This study investigated the creativity-supportive behaviors of Iranian EFL teachers. A mixed-methods data collection approach was adopted: quantitative data were obtained from randomly selected 94 teachers and 216 students through the Persian version of the Creativity Fostering Teaching (CFT) index (Soh, 2000), and qualitative data were collected via students' reports on twelve classroom aspects. To analyze the quantitative data, an independent samples t-test and for the qualitative data, thematic analysis coding were used. There was a significant difference between the teachers' and the students' views on creativity-supportive behaviors of Iranian EFL teachers. Additionally, environment and interaction were extracted as two main themes from the analysis of the qualitative data. These two themes were discussed as the central factors influencing the creativity-supportive behaviors of the teachers. Although most Iranian EFL teachers want and try to adopt strategies and activities to develop or support creativity in their classrooms, the results showed that Iranian EFL students do not experience the classrooms as a locus of supporting creativity. Generally, creativity is not implemented and supported in Iranian EFL classrooms. The findings illustrate that teacher-training programs should equip Iranian EFL teachers with the knowledge and strategies of creativity- fostering instruction.

The aim of this study was threefold: it aimed to develop a field-specific academic word list for accounting, to find the degree of coincidence between the word list and Coxhead's academic word list (AWL), and also to compare the occurrences of the most frequently used words in the list with six available word lists in different disciplines. A large corpus of accounting research articles was compiled and analyzed. We recognized 658 academic word families with the highest frequency in the corpus which we calledAccounting Academic Word List (AAWL ) . These 658-word families accounted for 10.16 % of the whole corpus. Further analysis indicated that out of these high-frequency word families we identified, only 354 coincided with those listed in AWL. Moreover, 50 most frequently used words in the list accounted for 3.98 % of the whole corpus. These words appeared in six available word lists in different disciplines with different degrees of occurrences which is a starting point for the development of a composite word list. Generally, this study confirmed the significance of subject-specificity of corpus-based word lists. The findings of this study suggest that AAWL can be used as a reference for the accounting community.