غفور رضایی گلندوز

Although Sociocultural Theory (SCT) was introduced to English Language Teaching (ELT) almost three decades ago, it has not yet started to find its way into the epistemological and practical aspects of English Language Teacher Education (LTE) programs in Iranian English as a Foreign Language (EFL) language institutions context. Not having met the needs of English teachers, teacher educators, and academic and non-academic teaching programs and feeling a pressing need for innovative approaches in language teacher education, the time is ripe for LTE programs to present a curriculum that is globally driven and locally appropriate. To this end, this paper aimed to develop a sociocultural language teacher education (SLTE) curriculum model as an alternative to the LTE programs in the Iranian EFL context. The researchers applied Vygotskian principles and extensions of SCT pedagogy to construct a curriculum model that draws on Graves’ framework of LTE curriculum design and Richards’ model of teacher education that collectively incorporate different aspects, namely context analysis, needs analysis, approach, content, process, teacher educator’s roles, student teachers’ roles, and program evaluation. To present an  innovative LTE program, the researchers extracted and put together the tenets, extensions, and categories of SCT comprehensively and presented them through a complementary curriculum model that is a combination of Graves’ framework and Richards’ model of teacher education. This tentative but dynamic curriculum model might help teachers, teacher educators, policymakers, and other stakeholders to reconceptualize and restructure their mentalities and use the findings when designing small-scale and large-scale LTE programs.

Dynamic assessment offers a holistic approach to evaluation by embedding assessment within instruction. Despite evidence suggesting the effectiveness of DA in language classrooms, there remains a reluctance among teachers to adopt DA practices. This reluctance stems from a lack of understanding of how DA models impact specific learning outcomes, particularly in speaking skills. One main contributing factor is the dominance of quantitative DA studies, which do not contextualize the differences between DA models. With an inductive thematic analysis design, this study explored the perceived effects of interactionist and interventionist DA models on speaking accuracy, fluency, and complexity among Iranian EFL students. Thirty undergraduate intermediate EFL learners from Islamic Azad University, North Tehran Branch, were recruited through purposive sampling. Each participant had received one hundred hours of speaking lessons with one of the DA models embedded before participating in a semi-structured interview. The analysis of participants' perceptions and reflections revealed that both DA models were well-received for improving speaking skills but had different effects on subskills. Learners perceived the interactionist model as an effective teaching method that improved their speaking accuracy and complexity but reduced fluency, while the interventionist model favored fluency at the expense of grammatical accuracy and complexity.

Hedges, as tools to express tentativeness and doubt, have been studied in plenty of research papers in the Iranian EFL research setting. However, their use in a learner corpus, portraying Iranian learner English, is in need of more research attention. With this end in view, this study aimed at investigating how Iranian EFL learners who have majored in English-related fields in Iran deployed hedges in their academic, expository essays. This study was conducted through running the corpus analysis software MonoConc Pro-Semester version 2.2 on the electronically compiled Iranian Corpus of Learner English, totaling 436,035 words. Automatic and manual analyses suggested that hedges comprised only 7.4% of the total metadiscourse in the Iranian Corpus of Learner English, with 0.68 occurrences per 1,000,000 words. In a comparable native corpus, a sub-corpus of the British Academic Written English, hedges were used with 1.43 occurrences per 1,000,000 words (21% of the total metadiscourse in the corpus). Log-likelihood statistical analysis confirmed statistically significant differences between the two corpora in terms of the use of hedges, with underuse of hedges in the Iranian academic, expository essays relative to the English natives’ essays. Implementations of the results for English academic writing instruction including genre-based, explicit teaching of hedges through data-driven techniques with the aid of tools such as AntConc software and corpora such as the BAWE are considered.