نتایج جستجو برای: encephalon compatible learning
تعداد نتایج: 653247 فیلتر نتایج به سال:
the application of e-learning systems - as one of the solutions to the issue of anywhere and anytime learning – is increasingly spreading in the area of education. content management - one of the most important parts of any e-learning system- is in the concern of tutors and teachers through which they can obtain means and paths to achieve the goals of the course and learning objectives. e-learn...
in this paper we formulate and prove some xed and common xed pointtheorems for self-mappings de ned on complete lower transversal functionalprobabilistic spaces.
Correlational studies supporting the link between learners’ multiple intelligences and their learning are superseded by interventionist attempts to explore direct applications of Multiple Intelligence (MI) Theory in language teaching and learning. This quasi-experimental study examined the extent to which engaging ELT major university students in writing tasks, compatible to their dominant inte...
Background This study was designed to explore the correlation of connective tissue growth factor (CTGF), heme oxygenase (HO-1), neurotrophic factors (NT-3) with type 2 diabetic peripheral neuropathy, as well as the changes after immune cytokine alone and combined with cattleencephalon glycoside and ignotin treatment. Methods Seventy-six patients with type 2 diabetes and peripheral neuropathy ...
learning english is very popular all over the world nowadays and it is considered a high prestigious language among citizens of different societies. one of the most important materials for learning a new language are textbooks. the debate that whether learning a new language is natural and neutral or ideological and influential on people’s worldviews, has always been of great importance.
Cerebellar Model Articulation Controller Neural Network is a computational model of cerebellum which acts as a lookup table. The advantages of CMAC are fast learning convergence, and capability of mapping nonlinear functions due to its local generalization of weight updating, single structure and easy processing. In the training phase, the disadvantage of some CMAC models is unstable phenomenon...
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