درخت حوزه‌های تخصصی

With the advent of advanced technology, a substantial proportion of reading takes place online. Reading engagement is an important factor which makes considerable contributions to reading comprehension. However, there is no valid and reliable measure for assessing learners' online reading engagement. Accordingly, this study constructed and validated a scale to gauge LORE. Initially, 20 EFL learners and 20 teachers were interviewed and based on the results of thematic analysis and extant components in the literature, an initial draft of the LORE was prepared. This draft became subject to expert opinion in a panel of three PhD holders in TEFL. Afterwards, the scale was distributed to 335 learners. The results of exploratory factor analysis (EFA) and Cronbach's Alpha yielded satisfactory psychometric properties for the 21-item scale consisting of six factors including affective, behavioral, cognitive, linguistic, agentic, and social dimensions. The analysis of aggregate means revealed that learners were highly engaged in behavioral and affective aspects, moderately engaged in the cognitive and agentic facets, but they had low levels of engagement in linguistic and social dimensions. Based on the results, the scale can be safely used to measure EFL learners' online reading engagement. Moreover, it is recommended that EFL teachers take measures to foster learners' linguistic and social engagement.

Improving the way of designing syllabus by making it more tailored to the needs and interest of the learners has been an important objective in language teaching, which leads to selecting and grading instructional materials with a consistent attention. This study focused on studying some dark areas of material selection in language teaching, aiming to make instructional materials more attractive to learners. There was also an attempt to see if learner's interest could affect reading and grammar differently. Lastly, the research also sought to find learners' perception on the use of interest in material selection and its possible effect in their performance. A mixed-method design was used to answer the research questions. The findings and results revealed that the use of interest in selecting class materials helped learners have better performance in reading, and the improvement showed a high correlation with learners' performance in grammar learning. Furthermore, the results of the questions asking for learners' perceptions disclosed the effectiveness of integrating interest to teaching materials in language learning. Researchers and teachers are suggested to seek ways to assist the syllabus planners to grow achievement by changing the materials to be more interesting, which can facilitate the language teaching and learning.

In spite of numerous extant studies on IELTS test-taking techniques, insufficient research has examined the effect of such techniques on reading performance among IELTS test-takers across proficiency levels. Therefore, this study, adopting an explanatory mixed-methods design, investigated the potential effect of test-taking techniques on IELTS reading scores gained by B1 and B2 level learners. The sample comprised 62 B1-level and 63 B2-level learners. The participants were placed into four groups consisting of two experimental and two control groups. In the two experimental groups, 17 reading test-taking techniques were explicitly taught and practiced. The four groups took reading pretest and posttest before and after the treatment. Ultimately, 15 participants from each experimental group partook in semi-structured interviews. The quantitative analysis showed the significant effect of teaching test-taking techniques on both B1 and B2-level learners' reading performance scores with the B1-level learners outperforming their B2-level counterparts. As for the qualitative data analysis, the results yielded eight themes for B1-level learners and seven themes for B2-level learners. Also, the results indicated that B1-level learners earned a notably higher number theme instances than B2-level learners. The results are discussed and implications for language learning, teaching, and testing are provided.

Artificial intelligence (AI) is changing language education through personalized and interactive practice. However, its impact on language achievement and emotional aspects of learning is unclear. Therefore, this mixed-methods study investigated the effects of Chatbot-Assisted Language Learning (CHALL) on learners’ English language achievement and sense of metavolvement—the deepest level of metacognitive engagement. In phase 1, the Sense of Metavolvement Scale (SOMS) was developed and validated. In phase 2, following a quasi-experimental design, 44 intermediate Iranian EFL learners were divided into an experimental group (n=22, using the AI chatbot Pi) and a control group (n=22, receiving conventional classroom instruction). Both groups had pre- and post-tests for language achievement and metavolvement, and the experimental group sat for semi-structured interviews post-intervention. There were significant gains in the experimental group’s in-class metavolvement and language achievement. There were also significant differences between the two groups in post-test metavolvement, while there was no significant difference in their post-test language achievement. Furthermore, interview data illustrated CHALL as a low-anxiety practice context with cultural and pragmatic limitations. Therefore, CHALL can complement but not replace conventional instruction.

The aim of the research is to design a model of Support Management Information Systems for penetration strategies of Iranian beverages to international markets and validation it. In this research, a combination of interviews with three-stage coding of grounded theory and questionnaires; therefore, this research is mixed. The statistical population of this research includes experts in the field of marketing international products, and according to the research objective, the sampling in this research is purposeful. The sample size in this research was selected to be 10 people based on the snowball sampling method. The research findings identified 8 factors, including Market characteristics (market analysis and selection of target markets), product characteristics (production and packaging), marketing and branding strategies and advertising, cultural and social factors, market challenges and opportunities, management and organizational processes, distribution and sales network, and competitive pricing. ,. The research results showed that for success and penetration in international markets, Iranian beverage companies need to pay special attention to Market characteristics (market analysis and selection of target markets), product characteristics (production and packaging), marketing and branding strategies and advertising, cultural and social factors, market challenges and opportunities, management and organizational processes, distribution and sales network, and competitive pricing. ,. From competitive analysis and identifying market trends to developing new products and using natural materials, all these factors can help optimize marketing strategies. Furthermore, adapting to different cultures and understanding local needs can play a significant role in the success of marketing strategies. Additionally, the use of new technologies and optimization of managerial processes can improve customer relationship management and increase productivity. Ultimately, analyzing consumer behavior and identifying new opportunities can help identify and exploit market opportunities and lead to the sustainable growth and development of Iranian companies in international markets.

The primary aim of this quasi-experimental study was to delve into the contrasting effects of In-text Feedback and Rubric-based Feedback on the writing performance and self-efficacy of Iranian Intermediate English as a Foreign Language (EFL) learners. To do so, 120 intermediate female English language learners between the ages of 12 and 16 were recruited based on non-random convenience sampling method from an English language institute to take Oxford Placement Test (OPT) to ensure a homogenized group of participants. Then, 60 participants whose scores fell within one standard deviation below and above the mean OPT score were recruited. The selected participants were randomly assigned to one of three groups: the in-text group, the rubric-based group, and the control group, with each group consisting of 20 students. Each group also took writing pre-test and completed self-efficacy questionnaire before the treatment. Next, the participants engaged in the assigned writing activities which were similar and received relevant feedback types for ten sessions. After the treatment, all groups took writing post-test and completed the self-efficacy questionnaire again. The results revealed that both in-text feedback and rubric-based feedback had a statistically significant effect on the writing performance of the learners. Additionally, there was a significant difference in the effect of in-text feedback versus rubric-based feedback on writing performance. In terms of self-efficacy, both types of feedback showed a statistically significant effect. However, there was no significant difference between the effects of in-text feedback and rubric-based feedback on self-efficacy. The findings of the study carry important implications for various stakeholders involved in English as a Foreign Language (EFL) learning, including learners, teachers, language centers, and teacher trainers.