مطالب

What is the state of democracy today? In the Western world, people often take the meaning of this term for granted, but do they genuinely know what democracy is? In this sense, how can we define democracy in today’s digitalized world? What is the relationship between democracy and information? Furthermore, do we really live in a democratic world? In Infocracy: Digitalization and the Crisis of Democracy—the 2022 translation of the original German book Infokratie. Digitalisierung und die Krise der Demokratie, published in 2021 by MSB Matthes & Seitz Berlin Verlagsgesellschaft mbH—Byung-Chul Han reflects on these and other related issues. Han’s analysis of the current political, social, and technological situation indicates that a profound democratic crisis is emerging. The loss of interest in truth, the end of grand narratives, the replacement of reason with data analysis (even in philosophy), the fragmentation of the population due to digitalization, and the predominant role of information in everyday life are all symptoms of a radical transformation underway in Western society, with severe consequences for democratic stability. In these terms, Han’s vision, at times excessively pessimistic, orients us on the crucial issues of our time.

Portfolio optimization which means choosing the right stocks based on the highest return and lowest risk, is one of the most effective steps in making optimal investment decisions. Deciding which stock is in a better position compared to other stocks and deserves to be selected and placed in one's investment portfolio and how to allocate capital between these stocks, are complex issues. Theoretically, the issue of choosing a portfolio in the case of minimizing risk in the case of fixed returns can be solved by using mathematical formulas and through a quadratic equation; but in practice and in the real world, due to the large number of choices in capital markets, the mathematical approach used to solve this model, requires extensive calculations and planning. Considering that the behavior of the stock market does not follow a linear pattern, the common linear methods cannot be used and useful in describing this behavior. In this research, portfolio optimization using the gray wolf algorithm and the Markowitz model based on CO-GARCH modeling has been investigated. The statistical population of the current research included the information of 698 companies from the companies admitted to the Tehran Stock Exchange for the period of 2011 to 2020. First, the optimal investment model is presented based on the gray wolf algorithm, and After extracting the optimal model, the efficiency of the gray wolf algorithm is compared with the Markowitz model based on CO-GARCH modeling.

Theoretically drawing on Vygotsky’s sociocultural theory of mind (SCT) and following a sequential exploratory mixed method design, this study probed into the impact of Group Dynamic Assessment (GDA) on the short and long-term Iranian high school students’ grammar ability. Also, a focus group interview was conducted to explore students’ attitudes toward concurrent GDA. This study used a convenient sample of 42 Iranian third-grade students in a private high school who prepared to participate in the Iranian University Entrance Exam (IUEE). The students of the two groups (i.e., GDA and Non-GDA) followed the same procedure (i.e., DIALANG test, pre-test, three conventional teaching sessions and one enrichment session, focus group interview (for GDA group), post-test and transcendence test). Quantitative findings using three independent sample t-tests and two repeated measure ANOVAs revealed that the GDA group significantly outperformed the non-GDA group regarding grammar ability and could apply them in more demanding circumstances. Besides, the thematic analysis of qualitative data showed that the concurrent GDA assisted students to improve their grammar ability. The study's findings highlight the importance of applying GDA as a mediational procedure that assists students in developing their grammar ability in L2 contexts. The findings of the study may assist L2 teachers to apply GDA procedure in their classrooms to save time for teaching and assessing grammatical structures.

Incremental intelligence plays an important role in self-regulating and enhancing writing performance among language learners. The present study aimed to investigate the relationship among variables of the incremental theory of intelligence, self-regulatory writing strategies, implicit theory of writing, and writing performance in EFL learners. To do so, 320 Iranian IELTS candidates were invited to participate in the study. Three questionnaires, namely incremental intelligence, self-regulatory writing strategy, and implicit theory of writing, were utilized. The participants included male and female IELTS candidates aged 19-27 years with a minimum band score of 6.5 in their writing skill. Furthermore, their educational qualifications included BA and MA degrees. The collected data were analyzed using SPSS and structural equation modeling (SEM). The correlation analysis showed that the incremental theory of intelligence had a significant relationship with self-regulatory writing strategy, implicit theory of writing, and writing performance. Moreover, the obtained results of SEM confirmed the findings of the correlational analysis, indicating statistically significant positive correlations among the variables of the study. The findings revealed that a growth-oriented mindset could affect students’ use of four types of self-regulatory writing strategies. Self-regulatory writing strategies also played a pivotal role in guiding, stimulating, motivating, and sustaining learners’ efforts, thus predicting writing performance. The results of this study can help EFL learners learn how to regulate and manage themselves in writing skills. Learners can assess the extent of their professionalism and endeavor to identify their weaknesses in the learning process.

Schadenfreude has been defined as the enjoyment of others’ misery; a kind of happiness from malice, which one acquires when one learns that others are lucky or experiencing a setback. The purpose of this study was to analyze the experiences of Sulaymaniyah football team fans regarding the theory of happiness from the Erbil team's discomfort in Iraq. An interview was conducted with the fans who had lived experiences (N = 18) and the data were analyzed using thematic analysis. The findings showed that several factors affect schadenfreude, such as political and governmental problems, managerial weaknesses of responsible people, past problems, and discrimination between teams. The findings extend the theory of social identity theory. According to the results, the managers of the teams and the officials of the Kurdistan Region in Iraq can provide the ground for reducing the happiness of the opponent's team with proper management and non-partisanship of the teams. Research in the field of schadenfreude can reduce the problems of advocacy and the wrong decisions of managers and officials and contribute to equality in this field.

ChatGPT-assisted language instruction is gathering irresistible momentum in today’s fast-moving, AI-governed world of educational enterprises. The current scoping review article sought to analyze and synthesize the existing literature on the complementary use of ChatGPT in second/foreign language (L2/FL) education and pedagogy. Aligned with Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA‑ScR), the study adopted a systematic approach to evidential data search and analysis. A total of 28 peer-reviewed articles retrieved from well-established databases, such as Scopus and Web of Science (WoS), were reviewed to map the scope and consequences of the growing body of literature on using ChatGPT as an L2/FL learning/teaching tool. Centering around five predetermined variables, including setting, design, focus area, objective, and concluding remarks, the content or thematic analysis results helped to shape a clear picture of the literature under review. The literature-derived evidential data also referred to the fruits of ChatGPT-assisted instruction under three distinct headings: learning outcomes, pedagogical outcomes, and cognitive-affective impetus for language learning and teaching. The review results also revealed the repercussions of the instruction mainly concerned with ethical and technical concerns. Given the immature but fast-paced nature of the literature on the instructional model, this early attempt, though provided a brief sketch of the research scope and chief outcomes of the model, needs to be complemented with future systematic reviews to fully unlock the potential of language pedagogy well suited to the demands of today’s technology-governed education.