Handbook of Research on Estimation and Control Techniques in E-Learning Systems

Handbook of Research on Estimation and Control Techniques in E-Learning Systems

Vardan Mkrttchian, Alexander Bershadsky, Alexander Bozhday, Mikhail Kataev, Sergey Kataev
Release Date: December, 2015|Copyright: © 2016 |Pages: 679
DOI: 10.4018/978-1-4666-9489-7
ISBN13: 9781466694897|ISBN10: 1466694890|EISBN13: 9781466694903
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Description & Coverage
Description:

Improvements in the application of online learning technologies are continually on the rise as the expectation for individuals to obtain a higher education grows and more people are seeking alternative modes of education. As more institutions implement e-learning systems, it has become increasingly important to explore the advancements and obstacles of these technologies.

The Handbook of Research on Estimation and Control Techniques in E-Learning Systems presents the latest research in online learning and educational technologies for a diverse range of students and educational environments. Featuring comprehensive coverage on the implementation and usage of e-education systems, this publication explores a variety of pertinent topics including, but not limited to, ubiquitous computer technology, e-learning environments, and challenges in implementing these technologies, serving as a crucial reference source for researchers, professionals, academicians, students, government officials, and technology developers interested in the adoption and implementation of e-learning systems.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Automatic Personalized Courses Generation
  • Cross-Cultural Transformative E-Learning Systems
  • Cyber-Physical Learning
  • Education-Study Systems
  • Service-Oriented Interaction
  • Trust Estimation
  • Ubiquitous Computing Technology
  • Ubiquitous Learning Environments
Reviews & Statements

Contributors mostly from computer and electronic fields explore approaches and systems to create ubiquitous environments for electronic learning. They cover the dialectics of research; taking side informational problems; the nature of research in cyber-physical learning-study environments; modeling electronic and classic communication and education-study systems; cross-cultural transformative learning systems; modeling and developing support systems; accelerated opportunity; service-oriented interaction in built-in intellectual educational and research systems, networks, and services; developing a theoretical base, techniques, and technology for increasing educational and research systems, networks, and service efficiency.

– ProtoView Reviews
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Editor/Author Biographies
Vardan Mkrttchian received his Doctorate of Sciences (Engineering) in Control Systems from Lomonosov Moscow State University (former USSR). Dr. Vardan Mkrttchian taught undergraduate and graduate information and control system courses at the Astrakhan State University (Russian Federation) science 2010, where he is the Professor of the Information and Control Systems Department (www.aspu.ru). He is currently chief executive and rector and leader of the international academic scientist’s team of HHH University, Australia, (www.hhhuniversity.com). He also serves as executive director of the HHH Technology Incorporation. Professor Vardan Mkrttchian has authored over 300 refereed publications He is the author of over twenty books in information technology, control system theory, electronics, and cloud and virtual education technology. He also has authored more than 150 articles published in various conference proceedings and journals.
Alexander Bershadsky, doctor of science, professor, head of Department of Computer Aided Design of Penza State University (Penza, Russia). During his research career worked as an engineer (Penza Research Institute of Computers), associate professor and full professor at the Department of Computer Aided Design of Penza State University. Since 1987, heads this Department. The area of the scientific research is connected with management and monitoring of social systems, distance and online education, computer aided design, new information technologies in Education. Main science activities are related with design of information and analytical systems, creation of intellectual information systems, improving the quality of Education. Also some works are connected with developing of adaptive systems to support decision-making, geoinformation technologies and systems. Member of International Academy of Informatization, Russian Academy of Natural Science, Academy of Educational Informatization, International Academy of Open Education.
Alexander Bozhday is a D.Sc. in Engineering, professor of CAD dept. in Penza State University.
Mikhail Yurievich Kataev finished the faculty of Radiophysics at Tomsk state University. He worked in the Institute of atmospheric optics, where were the main tasks of the development and practical application of methods and algorithms for solving the inverse problem of retrieving of the atmospheric air structure from laser methods data. He then continued his work in the Tomsk University of control systems and Radioelectronics, where the main task was the development of software products of varying complexity and algorithms of pattern recognition, the application of neural networks, empirical orthogonal functions and parallel algorithms in the study of multidimensional data. Recently, an important task is the development of software for developed of virtual educational space and the automated astimation of knowledge and competence in this space.
Sergey Kataev, doctor of science, Professor at the Department of General Physics, Faculty of Physics and Mathematics of Tomsk State Pedagogical University. He finished the physics department of the Tomsk State University. He worked as a Researcher of Laboratory of Theoretical Physics, Siberian Physical-Technical Institute of the Tomsk State University. The areal of scientific research is linked to finding out of hidden regularities in empirical data of different nature. The main works are related to revealing of spatial and time patterns in geophysical and anthropogenic fields, and also to result interpretation of Ground Penetrating Radar signals the probing subsurface layer. He is developing the direction, connected with image processing and regularities finding in Stochastic Flows of Events. Also, the links between knowledge and competition level are the research of interest in areal of education.
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