Teaching English as a Second Language

Recent years have witnessed extensive research on motivation in second/foreign language (L2) contexts. Attempts have been made to develop motivation-based techniques and methods to boost learners’ learning outcomes in L2 programs. Yet, studies that have targeted L2 learners’ perceptions about the effectiveness of such programs in online classes remain scarce. This study addressed this gap and delved into L2 learners’ perceptions of two motivation-oriented instructions, namely the ARCS-based (Attention, Relevance, Confidence, and Satisfaction) and L2MSS vision-inspired (Second Language Motivational Self System) instructions, in an online English course. To this end, 41 learners of English were assigned to two groups. One group was instructed based on the ARCS motivation framework, and the other was instructed based on the L2MSS framework. Then, 10 volunteer participants from each group participated in focus group interviews. Thematic analysis of the data revealed 19 subthemes and 7 main themes, including 4 themes of attention-related pedagogy, relevance-oriented content, confidence-building elements, and sense of contentment/discontentment regarding the ARCS group, and 3 themes of ideal self-orientations, ought-to self-orientations, and situated learning/teaching experiences regarding the L2MSS group. The engaging content and appealing learning environment in the ARCS group and the future perspective enhancement and goal setting in the L2MSS group were motivating factors, creating positive perceptions of the two programs. The findings suggest utilizing attention-catching and vision-building strategies to motivate learners and enhance their L2 learning outcomes in online classes.

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.

 Task sequencing (TS) has been a focus of empirical investigations in task-based language teaching (TBLT). Previous studies on TS failed to represent classroom contexts because they did not provide learners with corrective feedback (CF). This study aimed to address this gap by examining the combined effects of TS and CF on writing complexity, accuracy, and fluency (CAF). To do so, 113 upper-intermediate EFL learners were selected and divided into two groups. Participants took a pretest at the beginning of the study. Each group performed two three-task sets in simple-to-complex(S-C) or complex-to-simple(C-S) order. In each group, the errors in the first set of tasks were given CF by error codes (ECs), while the errors in the second set were only underlined. Participants in both groups were asked to revise their texts based on the provided CF and take a posttest at the end of the study. Multivariate analysis of variance (MANOVA) was run to analyze the pretest and posttest data. The results showed that the group performing tasks in S-C order and receiving ECs outperformed the others. Findings supported the SSARC (Stabilize, Simplify, Automatize, Reconstruct, Complexify) model. The study has implications for material development.

The present study, adopting a sequential mixed-methods design, chiefly aimed to determine the strongest predictors of EFL learners’ involvement in the components of motivational self-regulatory strategies (MSRSs). In so doing, 154 English-major university students joined in the quantitative phase, and a pool of seven students was selected to participate in the qualitative phase of the study. A number of validated instruments were utilized to gather the relevant data. The Pearson moment-to-moment correlation, SEM, multiple regression, and a semi-structured interview method were used to analyze the data. The results showed a positive relationship between the components of MSRSs and involvement in writing skills. Among MSRSs components, performance self-talk, mastery self-talk, and environmental control made significant contributions to the prediction of involvement in writing skills. More specifically, the strongest predictor of involvement in writing skills in MSRSs components was performance self-talk. Following the inter-coder reliability, the responses elicited from the interviews regarding EFL learners’ opinions about the role of MSRSs in increasing their involvement in writing skills delineated eight themes, including quiet talk, consistent working, interest, coping with distractions, class environment, motivating peers, regulating emotions, and teachers’ help. In the end, the interplay between MSRSs components and involvement factors was discussed and several practical implications were proposed.

The evaluation of students' writings and the allocation of scores are traditionally time-intensive and inherently subjective, often resulting in inconsistencies among human raters. Automated essay scoring systems were introduced to address these issues; however, their development has historically been resource-intensive, restricting their application to standardized tests such as TOEFL and IELTS. Consequently, these systems were not readily accessible to educators and learners. Recent advancements in Artificial Intelligence (AI) have expanded the potential of automated scoring systems, enabling them to analyze written texts and assign scores with increased efficiency and versatility. This study aimed to compare the efficacy of an AI-based scoring system, DeepAI, with human evaluators. A quantitative approach, grounded in Corder's (1974) Error Analysis framework, was used to analyze approximately 200 essays written by Persian-speaking EFL learners. Paired sample t-tests and Pearson correlation coefficients were employed to assess the congruence between errors identified and scores assigned by the two methods. The findings revealed a moderate correlation between human and AI scores, with AI diagnosing a greater number of errors than human raters. These results underscore the potential of AI in augmenting writing assessment practices while highlighting its pedagogical implications for language instructors and learners, particularly in evaluating the essays of EFL students.

Positive Language Education (PLE) has emerged as a significant area of focus within foreign language education, emphasizing the incorporation of well-being and positive psychological principles into the language learning process to foster a more holistic and supportive educational environment. Despite the growing scholarly interest in this approach, the application of Positive Psychology (PP) themes within language curricula, particularly in non-Western educational contexts, remains underexplored. In this qualitative study, the researchers explored the potential benefits of embedding PP content within a General English course. Drawing on established well-being themes from the literature—such as gratitude, resilience, emotion regulation, altruism, creativity, and life’s meaning—the researchers designed and implemented a series of activities and materials incorporating multimodal resources, including texts, audio recordings, and video clips across diverse genres (e.g., fiction and non-fiction). The study was conducted with a cohort of 85 Iranian female undergraduate students enrolled  in a General English course at a state university in Tehran., Iran Data were collected over the course of a semester through a combination of methods: classroom observations, analysis of student-generated materials, and in-depth semi-structured interviews with a selected number of participants. Thematic analysis of the collected data revealed that the integration of well-being themes and activities fostered the development of both linguistic and non-linguistic competencies, including enhanced positive self-expression, introspective self-reflection, well-being literacy, and the cultivation of a foreign language growth mindset. The findings highlight the multidimensional benefits of integrating PP principles into foreign language education.