scholarly journals Development of an Integrated Complex of Knowledge Base and Tools of Expert Systems for Assessing Knowledge of Students in Mathematics within the Framework of a Hybrid Intelligent Learning Environment

2021 ◽  
Vol 15 ◽  
pp. 122-129
Author(s):  
O. V. Druzhinina ◽  
I. A. Karpacheva ◽  
O. N. Masina ◽  
A. A. Petrov
Keyword(s):  
Artificial Intelligence ◽  
Learning Environment ◽  
Knowledge Base ◽  
Educational Process ◽  
Classification Problems ◽  
Creative Potential ◽  
Structural Scheme ◽  
Intelligent Learning Environment ◽  
Mining Methods ◽  
Training Control

The paper is devoted to the development of instrumental and methodological support for the assessment of students' knowledge in mathematics in the framework of a hybrid intellectual learning environment. According to the structural scheme of the model of intellectual assessment of knowledge and creative potential of students in mathematics, the structure of the corresponding knowledge base is formalized. Knowledge base within the framework of data mining methods to create a module for monitoring and evaluating knowledge in mathematics has been developed. To model the educational process the authors propose methods for solving clustering, dimensionality reduction, and classification problems based on machine learning and artificial neural networks. The basics for the development of integrated knowledge base complexes and artificial intelligence tools for the educational process are presented. The obtained results are aimed at creating methods which ensure the processes of operational training, control and evaluation of knowledge.

DEVELOPMENT OF INSTRUMENTAL AND METHODOLOGICAL SUPPORT FOR THE ASSESSMENT OF STUDENTS ' KNOWLEDGE IN MATHEMATICS IN THE FRAMEWORK OF HYBRID INTELLIGENT LEARNING ENVIRONMENT

2021 ◽  
Vol 54 (2) ◽  
pp. 48-65
Author(s):  
Olga V. Druzhinina ◽  
◽  
Irina A. Karpacheva ◽  
Olga N. Masina ◽  
Alexey A. Petrov ◽  
...  
Keyword(s):  
Learning Environment ◽  
Knowledge Base ◽  
Knowledge Bases ◽  
Educational Process ◽  
Classification Problems ◽  
Intelligent Learning Environment ◽  
Level Of Training ◽  
Knowledge Competencies ◽  
Operational Learning ◽  
Intellectual Environment

The article is devoted to the development of an integrated complex of knowledge base and artifi-cial intelligence tools for assessing students' knowledge in mathematics within the framework of a hybrid intellectual learning environment. In accordance with the structural diagrams of mod-els of intellectual assessment of knowledge and creative potential of schoolchildren in mathe-matics, the structure of the corresponding knowledge base is formalized. The knowledge base is developed within the framework of data mining methods to create a module for monitoring and assessing knowledge in mathematics. As a methodological basis for the development of a knowledge base, the idea of V.P. Bespalko about the representation of the possible structure of human activity in the form of suc-cessive levels of assimilation, reflecting the development of the student's experience in a given subject in the learning process. The levels of assimilation (student, typical, heuristic, research) are determined through the ability to solve problems of the corresponding type. A formalized in-dicator of a student's achievement of a particular level of assimilation of educational material (level of training) is the coefficient of assimilation; assessment of the assimilation of material on a specific topic or section is provided for both at each of the above levels, and in general. The examples of the formation of a knowledge base for assessing the skills and abilities of schoolchildren in algebra are considered. To model the educational process, we propose methods for solving clustering, dimen-sionality reduction and classification problems based on machine learning and artificial neural networks. The foundations for the development of integrated complexes of knowledge bases and artificial intelligence tools to ensure the educational process are presented. The results obtained are aimed at creating methods that provide the processes of operational learning, control and assessment of knowledge, competencies and procedures, the level of formation of subject and professional competencies of students in the information and educational intellectual environment.

Engaging Engineering Students in the Educational Process Using Moodle Learning Environment

2020 ◽  
pp. 239-263
Author(s):  
Oksana Labanova ◽  
Anne Uukkivi ◽  
Elena Safiulina ◽  
Marina Latõnina
Keyword(s):  
Learning Environment ◽  
Learning Process ◽  
Engineering Students ◽  
Educational Process ◽  
Virtual Learning Environment ◽  
Self Control ◽  
Pedagogical Practice ◽  
Instructional Videos ◽  
Use Of Technology ◽  
Training Control

Modern pedagogical practice emphasizes the use of technology as an opportunity to personalize the learning process and the need to take into account students' new needs. The purpose of this chapter is to offer a model of presenting online learning materials in mathematics that involves students in a continuous learning process. This model consists of textual materials, video materials, and tests in Moodle virtual learning environment (VLE). Textual materials include short theoretical materials with examples, self-control exercises, and worksheets with step-by-step solutions. The model includes five different types of videos: mini-lectures, problem solving walkthroughs, instructional videos, interactive videos, and individual videos. The testing system includes training, control, and bonus tests. Creating all parts of the model requires the use of specific didactical techniques. The students' feedback to this model has been highly positive.

scholarly journals Digital technologies for organizing the intelligent learning environment

2020 ◽  
Vol 224 ◽  
pp. 03016
Author(s):  
A I Dashkina ◽  
A M Kobicheva ◽  
M Odinokaya ◽  
D. A. Tarkhov
Keyword(s):  
Computer Simulation ◽  
Learning Environment ◽  
Educational System ◽  
Learning Process ◽  
Research University ◽  
Digital Technologies ◽  
Educational Process ◽  
Intelligent Learning Environment

This article describes the problem of computer simulation of the educational process at a research university. We consider some models and methods of organizing the intelligent learning environment described by a number of researchers. We also come up with a few ideas of creating an intelligent learning environment and organizing the learning process, such as a hierarchical educational system, the model of which was tested in our previous studies.

Hygienic Assessment of Factors of Learning Environment and Organization of the Educational Process at Schools in Smolensk

2020 ◽  
pp. 36-40
Author(s):  
EA Tsukareva ◽  
AV Avchinnikov ◽  
LM Sidorenkova ◽  
SO Avchinnikova ◽  
YP Korykina
Keyword(s):  
Learning Environment ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Preventive Measures ◽  
Fourth Graders ◽  
Educational Process ◽  
Adverse Health Effects ◽  
Assessment Of Learning ◽  
Learning Conditions ◽  
The City

Relevance: Parameters of learning environment and organization of the educational process can have adverse health effects in schoolchildren. Our objective was to conduct a hygienic assessment of factors of learning environment and organization of the educational process at schools of the city of Smolensk. Materials and methods: We studied indicators of indoor learning environment and the level of organization of the educational process in ten urban comprehensive schools. A hygienic assessment of the microclimate, illuminance, indoor air quality, and organization of the educational process for third and fourth graders (aged 9–11) was given. The assessment of learning conditions and organization of the educational process was carried out according to the method generally accepted in hygienic research (Suharev AG, Kanevskaya LY, 2002). Results: We found that elementary school pupils of Smolensk were exposed to multiple adverse factors such as poor microclimate parameters and insufficient natural illumination in some school rooms, excessive daily study load and irrational distribution of the academic load during the school week. The analysis of the timetable revealed an irrational distribution of the academic load in 37.3% of school days. We established that conditions of education in the surveyed urban schools were moderately dangerous to children’s health (750–806 points). Conclusion: The results enabled us to give a hygienic assessment of the factors of learning environment and organization of the educational process at schools in Smolensk and to outline a set of appropriate preventive measures.

Robot Teaching, Pedagogy, and Policy

2020 ◽  
pp. 787-803
Author(s):  
Elana Zeide
Keyword(s):  
Artificial Intelligence ◽  
Analytical Methods ◽  
Personalized Learning ◽  
Educational Process ◽  
Learning Systems ◽  
Policy Decisions ◽  
Public Discussion ◽  
Teaching Pedagogy ◽  
Do So

This chapter looks at the use of artificial intelligence (AI) in education, which immediately conjures the fantasy of robot teachers, as well as fears that robot teachers will replace their human counterparts. However, AI tools impact much more than instructional choices. Personalized learning systems take on a whole host of other educational roles as well, fundamentally reconfiguring education in the process. They not only perform the functions of robot teachers but also make pedagogical and policy decisions typically left to teachers and policymakers. Their design, affordances, analytical methods, and visualization dashboards construct a technological, computational, and statistical infrastructure that literally codifies what students learn, how they are assessed, and what standards they must meet. However, school procurement and implementation of these systems are rarely part of public discussion. If they are to remain relevant to the educational process itself, as opposed to just its packaging and context, schools and their stakeholders must be more proactive in demanding information from technology providers and setting internal protocols to ensure effective and consistent implementation. Those who choose to outsource instructional functions should do so with sufficient transparency mechanisms in place to ensure professional oversight guided by well-informed debate.

scholarly journals Cognitive Information Systems for Protection of Museum Complexes

2018 ◽  
Vol 7 (4.38) ◽  
pp. 82
Author(s):  
Aleksey Valentinovich Bogdanov ◽  
Igor Gennadievich Malygin
Keyword(s):  
Artificial Intelligence ◽  
Information Systems ◽  
Information Security ◽  
Security System ◽  
Structural Scheme ◽  
Cognitive Information ◽  
Technological Platform ◽  
Network Technologies ◽  
Cognitive Information Systems ◽  
Stratified Model

The paper considers the conceptual provisions of building a promising cognitive information security system of the museum complex on a cyber-physical basis. The stratified model of cognitive information security system of the museum complex was presented. It was shown that the key technological platform for the security of the museum complex is information and network technologies integrated (converged) with the technologies of industrial artificial intelligence. The generalized structural scheme of the cognitive cycle of the information security system of the museum complex was considered. The characteristic of the basic processes realized in a cognitive contour was given.   

scholarly journals A model for the development of the creative potential of a technical university teacher

2017 ◽  
Vol 6 (3) ◽  
pp. 270-274
Author(s):  
Valentina Igorevna Burenina ◽  
Natalia Gennadievna Kochetova
Keyword(s):  
Educational Expectations ◽  
Educational Process ◽  
Educational Technologies ◽  
Psychological Resilience ◽  
Creative Potential ◽  
University Teachers ◽  
Potential Development ◽  
External Conditions ◽  
Technical University ◽  
Target Block

The article considers issues related to the development of a technical university teachers creative potential and its special aspects. The analysis of the latest researches and publications in this field is presented, and the necessity of a special study of this issue is formulated. A model for the development of the creative potential of a technical university teacher is proposed, which consists of target, content-technological and diagnostic blocks. The paper presents the characteristics of the model of technical university teachers creative potential development designed by the author; each of its components is described. The target block includes educational expectations. The content-technological block consists of the following structural components: external conditions, the content of education, educational technologies and the forms of educational process organization. The component External conditions includes psychological resilience potential and opportunities for self-expression and self-realization. The Content of Education component includes all creative potential elements. The component Educational technologies and the forms of educational process organization consider the patterns of the activity approach in education, using students activity which simulate the professional teachers of a technical university activity: business and intellectual games, project tasks and etc. The diagnostic block monitors and corrects the results of the model implementation. It includes criteria and indicators of the formation of each component of creative potential, a description of the levels of development of technical university teachers creative potential.

scholarly journals The Effect of Digital Economy and Artificial Intelligence on The Participants of The School Educational Process

2020 ◽  
Vol 8 (SPE2) ◽  
Author(s):  
Mikhail V. Vinichenko ◽  
◽  
Marina V. Rybakova ◽  
Marina V. Vinogradova ◽  
Maksim A. Malyshev ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Digital Economy ◽  
Educational Process
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