Despite the fact that collaboration is as well studied as any instructional strategy, online collaborative learning efforts have been slow to succeed. Client-server computing models are currently giving way to newer peer-to-peer models. At the same time, traditional conceptions of online learning as electronic page turning are falling to the learning object model. The new paradigm of peer-to-pe...

The development of intelligent tutoring systems has long been the focus of applying artificial intelligence and cognitive science in education. A new breed of intelligent learning environments called learning companion systems was developed over a decade ago. In contrast to an intelligent tutoring system, in which a computer mimics an intelligent tutor, the learning companion system assumes two...

l2 learners’ multiple intelligences (mi) profile plays a central role in theirperformance on different aspects of language learning, one of which is the use oflanguage learning strategies (llss). gaining insights into the relationship betweenmi and llss makes l2 teachers better understand their learners’ strengths andweaknesses in the use of such strategies and lets them guide the learners bett...

This study aimed to investigate the effect of visual aids on elementary Iranian EFL learners’ vocabulary learning. To achieve the aim of the study, 60 elementary EFL learners were selected based on their performance on proficiency test. After administering the pretest, the participants of the experimental group received vocabulary visually. The teacher used different kinds of strategies such as...

So far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is Particle Swarm Optimization (PSO). Prior some efforts by applying fuzzy logic for improving defects of PSO such as trapping in local optimums and early convergence has been done. Moreover to overcome the problem of i...

In this paper we present a method to improve the learning results for diierent data sets, which earlier were diicult or impossible to learn, and to criticize the map's development during learning. Calculating the generalized fractal dimensions of the data set we choose the map's dimension accordingly for guaranteeing the maps ability of topology preservation. Furthermore we explore diierent sta...

Formal learning is a lifelong pursuit that does not occur exclusively within universities. Accordingly, methods for improving long-term learning, including the well-established use of testing, should be examined for various ages of learners outside typical university settings to properly assess their usefulness. This study examined testing effects in 60 younger university students aged 18-25, 6...

An artificial neural network is developed to recognize spatio-temporal bipolar patterns associatively. The function of a formal neuron is generalized by replacing multiplication with convolution, weights with transfer functions, and thresholding with nonlinear transform following adaptation. The Hebbian learning rule and the delta learning rule are generalized accordingly, resulting in the lear...