Avatar-Based and Automated Testing System for Quality Control of Student Training: Using Neuron Natural and Artificial Technology Platform Triple H

Avatar-Based and Automated Testing System for Quality Control of Student Training: Using Neuron Natural and Artificial Technology Platform Triple H

Mikhail Kataev (Tomsk State University of Control Systems and Radioelectronics, Russia & Yurga Institute of Technology (Branch) of National Research Tomsk Polytechnic University, Russia), Vardan Mkrttchian (HHH University, Australia), Larisa Bulysheva (Old Dominion University, USA) and Anatoly Korikov (Tomsk State University of Control Systems and Radioelectronics, Russia)
DOI: 10.4018/978-1-7998-1581-5.ch011

Abstract

The chapter covers avatar-based control for neuron natural and artificial technology platform used in automated testing system for quality control of student training. The chapter proposes the concept of creating an automated software system for monitoring student knowledge in the learning process. It is proven that for successful students to learn remotely, it is necessary to develop a knowledge assessment system that takes into account various learning features, as well as the individual characteristics of the student. The block structure of an automated software system is presented and its elements are discussed in relation to the educational process. The role of the teacher in the virtual learning system is discussed and an algorithm of the learning process in this system is presented.
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Introduction

The process of globalization makes new demands on the quality of school and especially higher education, as well as on the professional qualities of a specialist (both undergraduate and graduate). Although many leading universities in the United States already understand that four years for education at universities is no longer enough, and that it is necessary to move on to compulsory five years of education, especially in engineering, technical and physical-mathematical disciplines, but this will take time for the adoption of relevant laws on educational system. This naturally requires changes related to the modernization not of the education system itself, but of its elements related to the control of the learning process (Krasilnikova V.A., 2002).

In a situation of new requirements for the results of training specialists in the system of professional (competency-based) education, the following problems come to the fore (Korikov A.M., 2012):

  • 1.

    definition of common approaches to the formulation of diagnostic parameters of the educational process, understandable to students, employers and employees of educational institutions (universities);

  • 2.

    the unwillingness of educational institutions to evaluate the educational process, which involves students at an automated level;

  • 3.

    the lack of readiness of educational institutions to assess grades, the level of training and competence of students arising during the educational process;

  • 4.

    changes in the methodology of conducting the educational process, entailing corresponding changes not so much in the characteristics of teaching disciplines as in control and evaluation activities.

Consideration of all the identified problems highlights a feature related to the quality control of training, which leads to the need to develop quality assessment systems for training specialists at a new level (Mkrttchian V.S., 2012). This article discusses one of the possible solutions to this problem, namely the creation of an automated software knowledge control system based on an analysis of student's educational and test information assessments in the learning process.

Key Terms in this Chapter

Help and Control System: Is the system of reference and control is a new system based on knowledge and used for entrepreneurial in a digital economy introduced in 2018 from Professor Vardan Mkrttchian.

Entrepreneurs to Real Using Emerging Tools: Is entrepreneurs for the real use of new tools is a new approach to the concept of entrepreneurial phenomenon in a regional digital economy that can be used both at the national and national levels introduced in 2018 from Professor Vardan Mkrttchian.

Avatar-Based Management: Is innovation management technique for human intellectual control.

Big Data Analytics: Is the mathematical and software techniques for examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.

Sharing Digital Resource: Is exchanged of the digital resource is a new type of cooperation between enterprises in the digital economy in the form of knowledge obtained from digital avatars introduced in 2018 from Professor Vardan Mkrttchian.

Intelligent Visualization Techniques: Is the process of presenting data in the form of an image in order to maximize the convenience of understanding them; giving a visible form to any conceivable object, subject, process, and so on.

Avatar Model of High Technology: Is new model with natural intelligent for Avatar introduced in 2011 from Professor Vardan Mkrttchian.

Response to Intervention (RTI): Is a multi-tier approach to the early identification and support of students with learning and behavior needs; service for management educational process for corrections.

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