نتایج جستجو برای: context based learning
تعداد نتایج: 3585081 فیلتر نتایج به سال:
Nowadays, English is the leading foreign language enjoying a prestigious position in many countries, including Iran. In recent years, English is more and more popular in the world and the importance of learning English cannot be overstated in an increasingly interconnected and globalized world. In this regard, studying the status of language of the educated class of the society such as teachers...
the present study aimed at investigating whether vocabulary-learning strategies had any impact on the vocabulary learning of iranian efl learners. the participants of the study were 67 male and female undergraduate university students, majoring in english translation and english literature at islamic azad university, north tehran branch, who were taking “reading comprehension ii” course. in ord...
Introduction: The main topic of this research is to Investigating the Impact of Virtual Social Networks on Social Capital and Organizational Learning Capabilities with the Mediating Role of Helpful Activities. An important feature of social networks is that it has become a place to share knowledge, which in turn contributes to the quantitative and qualitative improvement of social capital. Thus...
Introduction: Today, team learning is a perfect solution to respond to challenges such as human resource management and competitive challenges and to achieve organizational effectiveness. The aim of research is to study team learning activity of faculty members of health information technology in universities of medical science whole country. Methods: Faculties of Universities of Medical scien...
RISE is an algorithm that combines rule induction and instance-based learning (IBL). It has been empirically veri ed to achieve higher accuracy than state-of-the-art representatives of its parent approaches in a large number of benchmark problems. This paper investigates the conditions under which RISE's bias will be more appropriate than that of the pure approaches, through experiments in care...
CFG-based language models have become popular over the last few years, especially for commercial applications, and there is growing interest in creating complex CFG-based models for mixed initiative systems. On general grounds, it is attractive to attempt to compile these models from domain-independent descriptions written in high-level formalisms such as unification grammar. Experience to date...
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