Baku Eurasian University

This study investigates the relationship between Self-Regulated Learning (SRL) strategies and Foreign Language Speaking Anxiety (FLSA) among Algerian EFL undergraduates using a quantitative correlational approach based on Bandura's theory of self-efficacy and Tobias' Input Processing Output (IPO) model. With a sample of 213 first-year students from three universities in Algeria, this study investigates the predictive role of self-ratings of speaking ability in SRL utilization and the variation in anxiety between high and low SRL users. Findings show that there is a strong negative correlation between use of SRL strategies and FLSA and that metacognitive and affective strategies have the most potent effect in alleviating anxiety. Self-perceived competence was a highly significant predictor of SRL use, emphasizing the centrality of beliefs to strategic action. Additionally, more frequent users of SRL reported significantly reduced levels of speaking anxiety, once again confirming SRL's relatively cognitively- and affect-control functions. The findings emphasize including SRL training in EFL speaking instruction in support of learner autonomy, lessened anxiety, and communicative performance that is more effective. Instructional and curriculum design issues are addressed, with suggestions for context-conditioned, strategy-oriented interventions.

This article explores a novel application of fuzzy logic in the context of addressing contemporary challenges and enhancing digital marketing strategies within the culinary tourism industry. As the industry grapples with evolving consumer preferences, technological advancements, and global economic shifts, a fuzzy logic approach offers a nuanced and adaptive framework. Fuzzy logic enables a more flexible and context-aware decision-making process, particularly relevant in the dynamic landscape of culinary tourism where diverse factors influence consumer choices. The article delves into the integration of fuzzy logic to optimize digital marketing efforts, taking into account variables such as cultural nuances, flavor preferences, and regional culinary trends. By embracing fuzzy logic, stakeholders in the culinary tourism sector can tailor marketing strategies with a heightened sensitivity to the inherent uncertainties and complexities of the industry. The study discusses practical implementations of fuzzy logic in digital marketing campaigns, emphasizing its ability to refine targeting, personalize content, and enhance user engagement. Furthermore, the article explores case studies and examples showcasing the efficacy of fuzzy logic in adapting marketing approaches to changing consumer behaviors. Ultimately, this research contributes valuable insights to the intersection of fuzzy logic and digital marketing, offering a promising avenue for elevating the effectiveness of promotional efforts in the dynamic realm of culinary tourism.