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ABSTRACT

This study aimed to present a model of intercultural communicative competence (ICC) by incorporating international posture, motivational disposition (ideal L2 self), second language (L2) self-confidence, and metacognitive learning strategies. To this end, 150 Iranian L2 learners, selected through convenience sampling procedure, took part in the research. The findings of structural equation modelling revealed that the proposed model showed adequate fit to the data, implying that the model is appropriate in Iranian English as a foreign language (EFL) context. Also, the results indicated that learners with a high level of international posture are more likely to bridge the gap between their present and ideal selves. This was, additionally, argued that internationally oriented and ideally motivated learners become confident of their abilities to get engaged in interaction with L2 target communities. Furthermore, metacognitive learning strategies were found to be directly associated with ICC, implicating that the learners who continuously reflect on their learning and evaluate their performances are more prone to have a higher level of ICC. Finally, suggestions were offered for language teachers and policy-makers to inspire their learners to be more competent in communication with people of other cultures and languages.  相似文献   
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David Kaldewey 《Minerva》2018,56(2):161-182
This article analyzes the concept of “grand challenges” as part of a shift in how scientists and policymakers frame and communicate their respective agendas. The history of the grand challenges discourse helps to understand how identity work in science and science policy has been transformed in recent decades. Furthermore, the question is raised whether this discourse is only an indicator, or also a factor in this transformation. Building on conceptual history and historical semantics, the two parts of the article reconstruct two discursive shifts. First, the observation that in scientific communication references to “problems” are increasingly substituted by references to “challenges” indicates a broader cultural trend of how attitudes towards what is problematic have shifted in the last decades. Second, as the grand challenges discourse is rooted in the sphere of sports and competition, it introduces a specific new set of societal values and practices into the spheres of science and technology. The article concludes that this process can be characterized as the sportification of science, which contributes to self-mobilization and, ultimately, to self-optimization of the participating scientists, engineers, and policymakers.  相似文献   
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Letters     
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Review helpfulness is attracting increasing attention of practitioners and academics. It helps in reducing risks and uncertainty faced by users in online shopping. This study examines uninvestigated variables by looking at not only the review characteristics but also important indicators of reviewers. Several significant review content and two reviewer variables are proposed and an effective review helpfulness prediction model is built using stochastic gradient boosting learning method. This study derived a mechanism to extract novel review content variables from review text. Six popular machine learning models and three real-life Amazon review data sets are used for analysis. Our results are robust to several product categories and along three Amazon review data sets. The results show that review content variables deliver the best performance as compared to the reviewer and state-of-the-art baseline as a standalone model. This study finds that reviewer helpfulness per day and syllables in review text strongly relates to review helpfulness. Moreover, the number of space, aux verb, drives words in review text and productivity score of a reviewer are also effective predictors of review helpfulness. The findings will help customers to write better reviews, help retailers to manage their websites intelligently and aid customers in their product purchasing decisions.  相似文献   
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