Abstract-The presented paper provides an intelligent agent based classification system for diagnosing and evaluation of learning disabilities with special education students. It provides pedagogy psychology profiles for those students and offer solution strategies with the best educational activities. It provides tools that allow class teachers to discuss psycho functions and basic skills for learning skills, then, performs psycho pedagogy evaluation by comprising a series of strategies in a semantic network knowledge base. The system's agent performs its classification of student's disabilities based on its past experience that it got from the exemplars that were classified by expert and acquired in its knowledge base.
Abstract-The presented paper provides an intelligent agent based classification system for diagnosing and evaluation of learning disabilities with special education students. It provides pedagogy psychology profiles for those students and offer solution strategies with the best educational activities. It provides tools that allow class teachers to discuss psycho functions and basic skills for learning skills, then, performs psycho pedagogy evaluation by comprising a series of strategies in a semantic network knowledge base. The system's agent performs its classification of student's disabilities based on its past experience that it got from the exemplars that were classified by expert and acquired in its knowledge base.
Abstract-The way of creating exams can enhance education. Also, the exam should cover majority of course material and should include various levels of difficulties. This paper presents a tool designed for automatically creating exams by selecting questions from a bank of questions for several courses. This bank of question is designed as an object-oriented knowledge base. Its questions should emphasize on the structuring categories of all course domains. An intelligent agent will help in selecting questions. It will watch the examiners and learn from their experience, at editing questions or at creating exams. The presented tool could be applied in several courses and can be used at various education level and nature. It is designed to create online exam, as well as, offline one. Also, the tool will produce a key for the produced exam. So, this tool can extend the E-Learning and provide more success in distant education.Index Terms-E-learning, exams, intelligent agent, object oriented knowledge base.
Abstract-Web-based learning environments have become popular in e-teaching throw WWW as distance learning. There is an urgent need to enhance e-learning to be suitable to the level of learner knowledge. The presented paper uses intelligent multiagent technology to advise and help learners to maximize their learning of an offered e-course. It will build its advices on the performance and level of education of learners including past and current learning. Most of advices are to guide learner to make exercises as quizzes or passing tests in different level of difficulties.
Abstract-Database and database systems have been used widely in almost, all life activities. Sometimes missed data items are discovered as missed or null values in the database tables. The presented paper proposes a design for a supervised learning system to estimate missed values found in the university database. The values of estimated data items or data it items used in estimation are numeric and not computed. The system performs data classification based on Case-Based Reasoning (CBR) to estimate loosed marks of students. A data set is used in training the system under the supervision of an expert. After training the system to classify and estimate null values under expert supervision, it starts classification and estimation of null data by itself.
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