مطالب

Transfer of learning from English course to other contexts is one of the most fundamental objectives of English for Special Academic Purposes (ESAP) instruction. Providing opportunities to transfer the acquired knowledge from the ESAP writing course to writing tasks of specialized disciplines as well as analyzing students’ perceptions of transfer catalysts and barriers might suggest a foundation for future educational planning. This study examines how engineering graduate students who participated in an ESAP course assessed the four constructs of learning transfer inventory that might facilitate or inhibit the transfer of learning in discipline-specific academic writing programs. Sixty engineering graduate students participated in this study. During the ESAP course, collaboratively designed discipline-specific writing tasks were presented and practiced through multimodal input. The variation in participants’ writing skills throughout the semester was recorded and analyzed. The catalysts and the barriers to the learning transfer act were identified by administering the Learning Transfer System Inventory (LTSI). The participants’ evaluations of the treatment they had received was assessed through a focus group interview. Results indicated that the students could obtain significant levels of academic writing skills and finally transfer their acquired instruction to authentic discipline practices. Furthermore, data analysis of the LTSI demonstrated that transfer of writing outcomes will be increased if more consideration of work-related factors is considered in higher education. All participants reported personal capacity as the main impediment induced by the work-related construct. Students’ positive attitudes toward three ability factors and all motivational factors suggested that an auspicious foundation for future educational planning exists if disciplinary and institutional considerations are embraced.

Purpose : This study aims to explore the development and implementation of knowledge management (KM) in Iranian government-affiliated research centers. The primary focus is on identifying key factors, challenges, and opportunities in adopting effective KM practices, with the goal of proposing strategic frameworks and practical recommendations to optimize KM processes in these organizations. Method : A qualitative research design was employed, utilizing a population of scientific articles on KM in Iranian research centers. Through purposive sampling, 55 articles were selected for analysis. The primary tool used was a “Document Review Checklist”. Data were analyzed using a systematic content analysis method, which facilitated the identification of recurring themes and patterns related to KM implementation. Findings : The study identified six global themes critical to KM implementation: Maturity, Knowledge-Based Decision Making, Structural Flexibility, Knowledge-Centricity, Socialization, and Localization of Cloud Computing. While managers and experts recognized the value of KM and demonstrated a willingness to establish relevant systems, significant barriers - such as limited IT infrastructure, insufficient incentives, cultural resistance, and a lack of comprehensive policies hindered effective implementation. The findings also highlighted the importance of fostering a knowledge-sharing culture, providing continuous training, and leveraging advanced technologies like Artificial Intelligence and localized cloud computing to enhance KM processes, data accessibility, and collaboration. Conclusion : The study concluded that nurturing an organizational culture that encourages knowledge sharing, providing adequate training and incentives, and adopting advanced technologies are essential for successful KM implementation. Additionally, leveraging international models and applying continuous improvement strategies can significantly enhance research capacities and elevate organizational performance. Addressing cultural, structural, and technological barriers is crucial for unlocking the full potential of KM in Iranian government-affiliated research centers, ultimately improving decision-making, innovation, and international collaboration.

The aim of this research is to analyze and map international scientific publications related to Customer Lifetime Value (CLTV). This study adopts an interpretive paradigm and employs a descriptive approach using a systematic review method. By utilizing specific search terms in the Web of Science database, covering the period from 1985 to 2024, and after thorough screening and qualitative assessment of the studies, the final analysis was conducted on 639 articles. An in-depth examination of the selected articles revealed a notable increase in international research in this field, particularly during the last twenty years. However, there have been periods of decreased research activity in years such as 2008, 2017, and 2023. The primary focus of this research has been on customer lifetime value and customer segmentation, with a significant association to the keyword "data mining," highlighting the importance of this technique in the discipline. Moreover, it was found that countries like Iran, Canada, and Turkey have lower average citation rates, whereas the United States, France, and Germany exhibit higher average citation rates. This suggests different patterns of co-authorship among these countries. By examining the most and least productive countries and researchers through scientometrics, new research opportunities in the field of customer lifetime value can be identified, providing insights for Iranian researchers to enhance the visibility of their findings on an international scale.

Many archaeological remains from the Achaemenid empire have been found in various lands; therefore, many authors have researched and written about this empire’s cultural and civilizational features. Dahāneh-ye Qolāmān is one of the valuable sites of this empire that still stands. Dahāneh-ye Qolāmān is located 30 kilometers southeast of Zabol and was one of the important sites of the Achaemenids in southeastern Iran. The site was discovered in the 1960s by Italian archaeologist Umberto Scherato, who began archaeological excavations in 1962. Archaeological studies have shown that the structures of this city were built on a high terrace and were used in at least two periods of settlement. A look at the two different types of architectural structures, namely huge buildings and smaller buildings, indicates the various uses of these buildings. Among the large buildings, building number 3 was a large religious structure, building number 1 was a large civil building, and building number 2 was an administrative building. Buildings 4, 5, 6, and 7 were residential and private, all located in the eastern part of the city, and building 15 was an industrial building with religious production. Buildings numbers 16 and 17 were also large public buildings.

Partant d’un diagnostic des difficultés linguistiques des élèves, une démarche didactique de la réécriture accompagnée a été adoptée et développée dans une séquence didactique centrée sur le type argumentatif. L’analyse qualitative des données montre que les élèves du groupe d’intervention ont nettement progressé par rapport au groupe contrôle. Les écrits de ces derniers font apparaître un net progrès dans l’écriture d’un texte et ses procédures. Une analyse quantitative et statistique, réalisée à l’aide du logiciel SPSS, vient par la suite confirmer les résultats de l’analyse qualitative. Les résultats soulignent l’importance de l’enseignement des procédures rédactionnelles et de la distanciation par rapport à l’écrit. Ces éléments, et d’autres, nous ont offert des pistes didactiques intéressantes qui peuvent constituer des hypothèses de recherche pour des études ultérieures.

Forough Farrokhzad (1934-1966) emerged as a distinguished intellectual contemporary Iranian poet whose poetry, while embracing the notion of “tragic culture,” rejects every dualistic structure and gender essentialism. Instead, it posits the potential for human empathy, thereby contributing to a deeper understanding of gender dynamics within the broader context of human experience. According to “Typology of Women” in Nietzsche's writings, the tragic vision is determined in the theory of the “Dionysian Woman” after passing through the stages of “desire for illusion” and “desire for truth.” On the other hand, this potentiality within Farrokhzad's poetic corpus exhibits a gradual and evolutionary character. In accordance with her aesthetic approach, it serves as a manifestation of the “transformations of the soul” delineated by Nietzsche. His conceptual framework posits a “transformative journey of the soul,” progressing from the stage of submission (camel) through rebellion and destruction (lion) to ultimately attain the stage of innocent creation (child). Employing an analytical-descriptive methodology, this study elucidates the manifestation of the transformative paradigm in Farrokhzad's poetry, primarily evident in her dual modes of "erotic" and "rebellious" poetic expressions, which reflect her engagement with metaphysical themes. Furthermore, an exploration of the imprint of the "love of fate" concept in Farrokhzad's verse is presented as a derivative outcome.

This study aimed to investigate the role of gender stereotypes in women's participation in sports. The present study was conducted with a qualitative, constructivist approach, serving its purpose. The participants in this study were 15 Iranian women and girls aged 15 to 55 who participated in sports recreationally or professionally and were selected as the final sample using a theoretical and purposive sampling method. Based on the results of the interviews, the focused codes extracted from the initial codes, which are presented in the form of theoretical codes of gender stereotypes in this study, include negative views of families towards girls' sports, social and cultural norms governing in sports, male dominance in some sports, breaking taboos in sports, dominant forces in sports, distrust of female athletes, and common stereotypes in sports that were identified. Therefore, changing social and cultural norms, educating and informing families through increased media coverage of women's sports, and role modeling will reduce gender stereotypes in sports and create conditions where women and girls can engage in sports without cultural and social restrictions.

The research utilizes bibliometric analysis and negative binomial regression to conduct a retrospective evaluation of the Journal of Sport & Tourism (JS&T), widely recognized as the oldest and most prominent publication in the industry. The objective is to gain a comprehensive understanding of the development and patterns seen in sports tourism area. We analyzed 243 articles published in Journal of Sport & Tourism from 2006 to 2022 (Volume 26, Issue 2). The first bibliometric analysis of Journal of Sport & Tourism reveals that the journal has significantly contributed to the sport tourism area for academics and professionals. For example, the percentage of female co-authors is, on average, 35.8%. However, a significant portion (42.38%) of all publications have been authored solely by men, with no female co-authors. These findings suggest an opportunity to enhance gender diversity in the journal's publications and research. In addition, the negative binomial regression results show that the article age variable positively correlates with citation, while the demeaned age squared variable displays a negative association. Also, we found a significant association between gender and citations per year but no significant relationship between gender and total citations. The detailed interpretation of these findings contributes to a deeper understanding of the intricate dynamics surrounding gender-related factors in scholarly impact, emphasising the importance of considering annualised and cumulative citation metrics for a comprehensive evaluation. As a results, the study provides a lens for academics and practitioners to follow to understand the evolution of sport tourism.

The purpose of this paper was to analyze the performance of elite taekwondo athletes using machine learning approaches to achieve three objectives: categorizing performance into four clusters ranging from excellent to poor, identifying key physical characteristics influencing performance, and predicting medal-winning potential in world competitions. This study employs the National Olympic Academy dataset of Iranian taekwondo athletes’ physical fitness and anthropometric records from 1996 to 2019 to develop descriptive and predictive models. In datasets comprising 999 female and 1560 male records, SOM-means and SOM-spectral clustering algorithms achieved average test efficiencies of 80%, for Silhouette, and 20% for Davies-Bouldin in the female dataset, and 79% and 34% respectively, in the male dataset, identifying four performance clusters based on physical attributes and medal distribution. A semi-supervised learning model with the CPLE-Learning algorithm demonstrated medal prediction capabilities, with accuracy rates of 68%, 59%, and 73% for predicting gold, silver, and bronze medals in the female dataset, and 58%, 61%, and 54% in the male dataset. These findings highlight the effectiveness of machine learning in sports performance analysis, offering valuable insights for managing taekwondo athletes and enhancing physical preparation strategies.

The aim of this study was to develop a comprehensive model for strategic thinking in sports federations in Iran. This research is a qualitative exploratory study and a practical one that has been done using thematic analysis. The research population consisted of experts and elites in the field of strategic sport management, with having knowledge of the sport federations. The research participants based on the triangulation technique included: faculty members of sports management of universities, senior managers with the experience in the field of sports, as well as athletes and referees with experience of professional sports. 16 participants were interviewed through purposive and snowball sampling until reaching theoretical saturation. The tools used to collect data included a semi-structured interview based on the main questions and objectives of the research. To increase the accuracy and validity of the analysis at different stages, the codes, sub-themes and main themes were provided to research team as well as two interviewed experts and the necessary modifications were made in accordance with their opinions. The retest reliability method was used to ensure the reliability of the findings. Credibility, dependability, transformability, and confirmability were also used to confirm the validity. Finally, based on the six-stage thematic analysis model of Braun and Clarke (2006), the final research model was developed which included: “effective factors”, “strategic thinking elements” in sport federations, and “Strategic thinking consequences” in sports federations. Considering the findings of this study can pave the way for developing strategic thinking in sport federations.