Routing in computer networks has played a special role in recent years. The cause of this is the role of routing in a performance of the networks. The quality of service and security is one of the most important challenges in routing due to lack of reliable methods. Routers use routing algorithms to find the best route to a particular destination. When talking about the best path, we consider p...

‎artificial neural networks have the advantages such as learning, ‎adaptation‎, ‎fault-tolerance‎, ‎parallelism and generalization‎. ‎this ‎paper is a scrutiny on the application of diverse learning methods‎ ‎in speed of convergence in neural networks‎. ‎for this aim‎, ‎first we ‎introduce a perceptron method based on artificial neural networks‎ ‎which has been applied for solving a non-singula...

the present study aims to investigate language learners’ cognitive processes in on-line esp courses. three modes of inquiry are used: think-aloud protocol analysis, screen capture analysis, and correlation analysis. the theoretical foundations for the evaluation of the cognitive aspect of ferdowsi univeristy of mashhad e-learning system are drawn from cognitive load theory, cognitive apprentice...

Literature suggests that existing learning management systems should be extended to integrate learning activities that aim at enhancing comprehension of students in Computer Science education. Therefore, literature has proposed Computing Augmented Learning Management System (CALMS) that meets the needs of online Computer Science education. However, it’s unclear the current state of architecture...

This study develops and implements a computer-assisted learning (CAL) program with both multiplicative facts practices and the instruction of meaning behind these facts. The effectiveness of CAL on the development of multiplication abilities is also explored. Eight CAL activities are developed to teach multiplication to second grade elementary school students. The CAL program is comprised of th...

‎Artificial neural networks have the advantages such as learning, ‎adaptation‎, ‎fault-tolerance‎, ‎parallelism and generalization‎. ‎This ‎paper is a scrutiny on the application of diverse learning methods‎ ‎in speed of convergence in neural networks‎. ‎For this aim‎, ‎first we ‎introduce a perceptron method based on artificial neural networks‎ ‎which has been applied for solving a non-singula...