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Advances in modeling and knowledge representation, data mining, semantic Internet, analytical methods and open data are the basis for new models of knowledge analysis. The growth of information and data exceeds the ability of organizations to analyze them. This problem is particularly expressed in terms of knowledge and learning processes. Analytical methods can be successfully applied in studying...
Intellectual learning systems (ITS) are integrate subsystems of users, learning content, learning strategies, communication, processing of heterogeneous data and information in their architecture. ITS are developed as part of a blended/hybrid design initiative to support learning processes. The concept of blended learning has been actively developing recently. Efforts in the field of development of...
Among the modern requirements for complex object control simulators is to provide the properties of adaptability, flexibility, extensibility, reliability, security and reconfigurability. The use of semantic description as one of the ways to solve the problem of increasing adaptability and efficiency (productivity, reliability, security, reconfigurability) in the development of simulators with human-machine...
Software environment OntoMASTER is designed to support research process in the field of education. We use dynamic processes of learning, knowledge, models and intelligent software agents. Current objective is to develop an integrated software environment. It is necessary to implement intellectual support research function. For training it is also necessary to use methodological support. The software...
Our study implements a model that explains the relationship between the students learning process productivity taking into account individual differences and didactic learning content resources. The process of data collection and analytics focuses on the micro-level. Individual learning trajectory prediction is observed at the micro-level. Blended learning has several advantages. However, its integration...
The aim of the research is to develop the students learning process intellectual support system with implementation of the active Internet technologies and cognitive tools. The methods, information and computing resources are developed so as to meet the challenges of network management of the learning process with the use of knowledge engineering methods, intellectual data and texts analysis, automatic...
The paper presents a method of distribution of intellectual support of didactic resources as part of the educational content based on cognitive load. On the basis of the generated didactic resource base is built the path of learning, which compares the trajectory of student learning for the purpose of the adjustment process. The method is implemented using a web environment learning management technology.
The article discusses the development of thematic ontology for use in the educational process. We propose a method for the automated thesauri development using the web ontology editor "OntoMASTER-ontology".
A method for studying the learning process using the means of the computer simulation is proposed, which represent the difference between taking into account individual characteristics of the students and the peculiarities of the real process in the dynamics. The research proposes the computer model and an example of simulation investigation in the baseline scenario.
The work is based on a dynamic approach to modeling of learning processes. The conceptual framework of the control system is organized on the principle of feedback, separation of teaching and adaptation to the individual characteristics of the student. The purpose of the control system is to reduce the deviation of the actual knowledge level of a given training program. The knowledge accumulation...
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