مطالب

Self-regulation is crucial in foreign language acquisition, requiring learners to set clear goals, choose effective strategies, and manage their learning. However, many face challenges in applying these strategies, indicating a need for educator support. This study examined the impact of Self-Regulated Learning (SRL) strategies on word knowledge and speaking competence among Iranian EFL learners. Data was collected from 200 pre-intermediate and intermediate students using the Vocabulary Levels Test (VLT), Self-Regulating Strategy in Vocabulary Learning Scale (SRCvoc), and Key English Test (KET), along with semi-structured interviews with 30 learners in Urmia, Iran. Analysis included descriptive statistics, multiple regression, ANOVA, and thematic analysis. Results showed that learners utilized SRL strategies for vocabulary learning above average, with specific subscales positively affecting acquisition. Commitment control emerged as the most significant factor influencing speaking proficiency, explaining 58.6% of the variance, while satiation control had minimal impact at 15.8%. Challenges in time management, motivation, and anxiety were also identified. The research advocates for targeted interventions to enhance commitment and motivation, contributing valuable insights for educators to improve learning outcomes through tailored instructional strategies that integrate self-regulation training into language curricula.

The study was conducted with the aim of offering a social media-based digital marketing model for the development of foreign trade. This is an applied-developmental research in nature, following a mixed-method approach in terms of data. Information was gathered through library research, and data collection was conducted via fieldwork. In the qualitative section, the variables, components, and indicators of the model were identified and extracted using content analysis. The qualitative statistical population consisted of 17 marketing managers from exporting companies in the detergent, cosmetic, and hygiene product sectors, selected through non-probability, purposive, and theoretical sampling using the snowball technique. The quantitative statistical population included 151 managers, experts, and marketing experts randomly selected based on stratified sampling. Data collection was done through fieldwork, and the tool for gathering data was a researcher-made questionnaire. The qualitative content analysis results identified the model variables as: “Social Media Trade Strategy in International Markets”, “Marketing Communications in Social Media in International Markets”, “Social Messaging Strategy in Social Media in International Markets”, “Marketing Actions in Social Media in International Markets”, “Customer Value Creation in Social Media”, and “Export Trade Development”. Interpretive-structural modeling was used to generate the model, and the findings from this section indicate that the structural model consists of five levels, with “Social Media Trade Strategy in International Markets” and “Marketing Actions in Social Media in International Markets” being the most influential and independent variables. The variables “Marketing Communications in Social Media in International Markets” and “Social Messaging Strategy in Social Media in International Markets” are interconnected, and finally, “Customer Value Creation in Social Media” is the most dependent and affected variable, with a sequential effect on the others. Subsequently, the relationships within the generated model were tested using SEM. The validation findings demonstrated on export development were positively and significantly confirmed in the model. The results of this study suggest that to enhance social media marketing for export development, customer value creation should be strengthened through marketing communications and the implementation of social media marketing.