مطالب

One of the most necessary operations in humanitarian logistics is the distribution of relief goods to the population in disaster areas. When a disaster occurs, some parts of the distribution infrastructure may be damaged and consequently make it impossible to reach all the demand nodes and delivering the relief goods. In this study, we focus on the planning of infrastructure recovery efforts in post-disaster response. The problem is the scheduling of the emergency repair of a network that has been damaged by a disaster. The objective is to maximize network accessibility for all demand nodes in order to deliver relief goods to them. We adopt a dynamic programming algorithm to solve the problem when more than one crew group is available. Our numerical analysis of the solution shows the performance of the algorithm. We, also, compare our results with some similar studies to indicate the differences between one and multi-crew scheduling.

Purpose of this study is to provide a structured model for the development of social entrepreneurship in the higher education system of humanities post-graduate. According to the research purpose, theoretical framework was established with three main dimensions including needs and incentives, features and measures and the consequences of social entrepreneurship development. This model has been led to interview protocol. Then researcher done 10 interviews with experts by telephone, Skype and face-to-face methods. These interviews were then coding and recoding and the concepts and categories were extracted. Then, the relationships between the categories were adjusted based on the model derived from the literature. Then with using the confirmatory factor analysis and ISM and SEM techniques, the dimensions and components of the designed model were confirmed and structured.

The first step in the optimization of research is to analyze and review the conducted research to gain a comprehensive overview. Therefore, this study was set to delve into the contributions made to Iranian Applied Linguistics Journals approved by the Ministry of Science, Research, and Technology from 2008 to 2019. To analyze the data, frequency analyses were run on 1419 publications. The findings indicated that TEFL-related topics received the most coverage (88%) compared to the other prevalent majors: Linguistics, Translation, and Literature. The study revealed that male contributions (63.7%) far outweighed those of females (34.4%). Furthermore, it came to light that co-authorship (59.95%) was more appreciated among contributors to Iranian applied linguistics journals. Moreover, Islamic Azad University collectively (25.34%) followed by University of Shiraz (11.3%) and University of Isfahan (10.25%) had the highest number of publications. Assistant (32.12%) and associate professors (21.86%) had the highest number of publications. It was also found that the US contributors (28.75%) followed by Australian and Malaysian contributors (13.75%) made the highest number of foreign contributions to the Iranian EFL journals.  Finally, it was revealed that writing-related topics was the most frequently-explored topic (n=164). Corpus-related studies (n=132) and teacher education (n=118) came second and third respectively. The study provides practitioners and researchers with relevant and missing information about the most frequently-explored topics, the most prolific authors, the most productive universities, and the number of foreign contributions.

Flipped learning is a rather recent practice where the teacher provides the learners with the content of the teaching and videos of his or her teaching prior to the class meeting. Students are required to study and be prepared, and the class time is devoted to activities which involve higher-order thinking skills. This study aimed at assessing the perception of students of the flipped classroom and the effectiveness of flipped learning in a university testing and assessment class with bachelor's students of English Language Teaching. The first half of the semester was taught through the flipped strategy and a half was taught through traditional lecturing. Results indicated that students had a positive view towards flipped learning, and flipped learning led to a better performance of the students on the section of the exam which involved higher-order thinking skills such as application, analysis, and synthesis. Results further showed that successful intelligence was a better predictor of academic performance of the learners on the exams than the Big Five (NEO) personality traits, and creative intelligence was the component of successful intelligence significantly associated with students’ performance. It can be concluded that flipped teaching is worth the time and energy spent by the teacher and the learners on preparation for the classroom and it can motivate and engage learners.

Most of the models accounting for L2 oral production have deemed a significant role for vocabulary knowledge in this process. Previous studies have demonstrated a positive relationship between different aspects of lexical knowledge and performance or proficiency of second language skills including the speaking performance. Meanwhile, the findings have suggested a determining role for the task type used for measuring speaking performance when one or more aspects of lexical knowledge are in focus. This study was conducted to investigate the relationship between the EFL Learners’ deep vocabulary knowledge (DVK) and speaking performance by scrutinizing the mediating role of task type. To this end, 102 bachelor ELT students were given Word Associate Test to measure their DVK, and a planned presentation task and unplanned tasks of description, narration and reasoning to elicit speaking performance. The elicited samples of speaking performance were transcribed and analyzed in terms of fluency, accuracy, lexical complexity and grammatical complexity. Structural equation modeling indicated a lack of causal relationship between DVK and aspects of speaking performance as measured with both planned and unplanned tasks. However, mixed results were obtained in the case of the correlations of fluency, accuracy, grammatical complexity and lexical complexity with DVK across different tasks. Although the findings do not provide evidence for a strong relationship between DVK and speaking performance when DVK is analyzed in isolation from other aspects of vocabulary knowledge, the variation witnessed in findings provide further proof for the importance of task effectiveness in the study of lexical access.