نتایج جستجو برای: metaphorical test performance
تعداد نتایج: 1753035 فیلتر نتایج به سال:
background: anxiety is a basic human emotion. however, when taken to extremes it may produce unwarranted results. one of the most threatening events that cause anxiety in students today is testing. this study investigated the relationship between test anxiety and academic performance of midwifery students in islamic azad university, najaf abad branch. methods: in this descriptive-sectional stud...
In preparation for building a dictionary browser, an actual navigational interface (a digital chart plotter) was analyzed for design guidelines to be applied to an interactive semantic navigator. WordNet is a lexical database structured as an inheritance system encoding numerous semantic relationships. The guidelines are applied to the design of a browser for WordNet.
This paper analyzes the relationship between test time and test performance (score) based on gender, delivery type, and classification of students within two tests. The course being analyzed is a computer literacy course that is part of the required general education curriculum. This course is divided into two sections, Applications and Technology. The Applications section of the course has spe...
this study investigated the potential role of age in inductive and deductive grammar learning among iranian foreign language learners. the experimental population consisted of our randomly selected samples including two groups of children (with age of exposure to english within 8-13), and two groups of adults (with age of exposure to english within 11-13). thus, the comparison was between ch...
On the “standard” view of conceptual metaphors (Lakoff and Johnson, 1980; Kövecses, 2002), metaphorical creativity arises from cognitive processes extending, elaboration, questioning, combining content in source domain Turner, 1989). I will propose that such cases constitute only a part creativity. An equally important common set is comprised by what call “context-induced” metaphors. discuss fi...
We present a supervised machine learning system for word-level classification of all content words in a running text as being metaphorical or non-metaphorical. The system provides a substantial improvement upon a previously published baseline, using re-weighting of the training examples and using features derived from a concreteness database. We observe that while the first manipulation was ver...
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