DEFINITION OF THE COEFFICIENTS OF THE MATHEMATICAL MODEL OF QUALITY MANAGEMENT OF TRAINING BY THE METHOD OF LINEAR PROGRAMMING
V.I. Sumin, L.D. Kuznetsova, M.A. Lukin
This article examines the process of analyzing the level of quality of education in a higher educational institution. This problem was solved on the basis of using problem-oriented components of the educational process management system of the higher educational institution. To form problem-oriented components of the educational process management system of a higher educational institution, it is necessary to develop a model and algorithm for the process of making managerial decisions in it. Formalization and typification of educational information is carried out, which takes into account the time and indicators of the evaluation of the effectiveness of the quality management of training. Formed sets and sequence of a set of actions on the information that is used in the management of the quality of training. The processing time of elements of educational information in a higher educational institution is considered known on the grounds that it is regulated by normative documents. An evaluation of the duration of the step of taking managerial influences is determined on the basis of a certain set of procedures that in a certain sequence process the educational information of a higher educational institution. The coefficients of importance of the elements of providing information that determine the formation of managerial influence are determined. The procedures for providing information perform functions: determining parameters for a particular procedure, selecting and arranging the selected information, developing mathematical models. A mathematical formulation of the problem is defined in a general form, which allows us to formalize the task of optimizing the management impact, which is used in the management of the quality of instruction using the linear programming method.
Keywords: predicate, predicate significance, variable-valued logical function, logical neural network, cognitive map, cluster analysis, neural network.
CREATION AND PRACTICAL IMPLEMENTATION OF THE CONCEPT
OF CONTINUOUS LIFE-CYCLE MANAGEMENT OF ELECTRONIC EDUCATIONAL RESOURCES
UDC 378, 004.942
M.V. Deev, A.G. Finogeev, A.A. Finogeev, I.N. Kolesnikov
The article analyzes the problems of life-cycle management of electronic educational resources. To solve them, it is necessary to develop a system for managing and supporting the life cycle of educational content. The aim of the work is to create a comprehensive scientific approach to the intellectual management of the stages of the life cycle of electronic educational resources with adaptive tuning to the changing requirements of standards and employers. As part of the development of the concept of managing the life cycle of electronic resources, it is proposed to develop a management model based on a detailed analysis of the life cycle model of educational content, as well as a set of indicators and an integrated assessment of the life cycle of electronic resources. The model describes the input parameters and external influences that affect the process of resource development from the beginning of development to decommissioning, the resources involved, as well as output results. The proposed indicators and integrated assessment will assess the effectiveness of the process of managing the life cycle of educational content. The developed system provides continuous management of the life cycle of electronic educational resources, adaptive updating of educational content and is included in the composition of the Smart Learning Environment, which allows to reduce costs in developing resources and to qualitatively improve educational material.
Keywords: management, CMS, life cycle, electronic educational resource, intellectual educational environment, management scheme.
A METHOD AND A TOOL FOR INFORMATION GATHERING IN ONLINE TRAINING PROCESS MANAGEMENT BASED ON AUTOMATED COMPLEX OPEN ENDED ASSIGNMENTS SCORING WITH THE USE OF ERROR BANK
V.A. Latypova, V.V. Martynov
It is possible to monitor training process using different statistic reports in learning management systems and massive open online course platforms. Online training process can be managed effectively by means of analytics applications. Analytics is based on gathered information. Problems can occur during information gathering if an online course contains complex open ended assignments, assignments which can’t be checked using tests. There are methods among the existing methods which allow to gather information effectively: situational assignment and special methods for specific domain. The methods allow to get reliable and complete information for management purposes. But the methods are not universal. Their usage is limited to open ended assignment type and domain. There is a need to develop a method for every specific task if situational assignment can’t be used and there is no special method. A universal information gathering method based on automated complex open ended assignments scoring with the use of error bank is suggested in the paper. A tool was developed and implemented in training process in Ufa state aviation technical university from 2013 till 2019. The usage of the method and the tool allowed to increase information gathering effectiveness in online training process management in complex open ended assignments implementation.
Keywords: online learning, training process management, complex open ended assignment, information gathering method, error bank.
FORMATION OF AN INDIVIDUAL SCHEDULE FOR STUDYING THE MATERIALS OF THE DISCIPLINE IN AN ELECTRONIC ENVIRONMENT
IN A LIMITED TIME OF TRAINING
The article presents the methodology for personalizing the schedule in the electronic educational environment for studying educational materials in the framework of the academic discipline. To solve this problem, approaches to personalization of training used in e-learning are considered. The central aspect of the study was the ability to effectively use the time allotted for study, which is especially important when studying at the university, according to the general curriculum. Factors that require an individual training schedule have been identified. These include the various initial preparedness of the student, personal qualities, different approaches of students to the organization of their work. The relationship of these factors with the student’s pace was noted and a functional diagram of the process of adaptive management of student learning activities was developed. The proposed method involves a dynamic change in the requirements for the level of development of educational material, depending on the current achievements of the student. Studying the educational material even at a level lower than planned will give the student a holistic view of the subject area being studied. Analysis of the results of practical application of the method in an electronic educational course on the Moodle platform shows that students in the allotted time for training in General master the entire program of the discipline.
Keywords: e-learning, e-learning system, personalized learning, individual schedule, the level of mastering the educational material, academic discipline, activity of the trainee, knowledge, skills, concept, learner’s pace of work.
INFORMATION SUPPORT OF ACADEMIC MOBILITY PROCESS USING KNOWLEDGE REPRESENTATION MODELS
N.I. Yusupova, O.N. Smetanina, A.V. Klimova, A.I. Agadullina
The article discusses and analyzes the processes of academic mobility, shows the features of each type of mobility and identifies data sources. The main problems that arise during the formation of the educational route are identified. These problems are associated with the processing of large amounts of information. The necessity of automation the information support of academic mobility to ensure the effective implementation of an individual educational route is justified based on statistical data. A review of the current state of the problem showed that in the field of educational route management and academic mobility, the issues of using information support are not sufficiently disclosed. The authors show the educational route planning process within the framework of academic mobility as the most time-consuming, requiring the involvement of experts to make decisions. The organization of informational support is represented by developing knowledge representation models (decision trees) based on the application of production inference rules to analyze possible solutions when forming an educational route. The “Decision Tree” is based on the results of the analysis of decision-making procedures in the educational process within the framework of each type of academic mobility. The developed rules allow to implement in the knowledge base the experience and knowledge of experts in making decisions related to academic mobility. The system developed by the authors is introduced into the educational process and is used by the dean’s staff.
Keywords: decision support, educational route, academic mobility, decision trees, knowledge representation models, production rules.
INFORMATION DIGITAL TECHNOLOGY IN THE FORMATION OF COGNITIVE ACTIVITY OF THE STUDENT OF MEDICAL HIGHER EDUCATIONAL ESTABLISHMENTS IN THE PROCESS OF STUDYING NATURAL
S.H. Bijieva, F.U. Botasheva, L.M. Elkanova
The article deals with the problem of the influence of information technologies of education on the activation of educational and cognitive activity of students of higher educational institutions. The purpose of the study is to study the influence of information digital technologies on the activation of educational and cognitive activity of students of the medical Institute in the process of studying natural Sciences. The article reveals the role of natural Sciences in the professional development of students of medical University; based on the use of appropriate methodological tools (observations, questionnaires, analysis of the results of educational activities, survey, testing, data statistical processing methods) defined the nature and structure of educational-cognitive activity of students; identified the potential of digital technology in enhancing learning and cognitive activity of students in the process of studying of natural-science disciplines; psychological and pedagogical conditions of effective application of information digital technologies in activization of educational and cognitive activity of students of medical Institute in the course of studying of natural science disciplines are allocated. The results of the study showed that the systematic use of information digital technologies in: strengthening the emotional appeal of educational and cognitive activity; implementation of differentiated and individual approaches in educational activities; organization of the educational process as a joint activity of the teacher and students in the dialectical unity of three sides: personal, functional, subject and the formation of joint activities of social and professional reflection; adequate control, analysis and evaluation of the results of independent activity in the educational process of medical school in the study of natural Sciences contributes to the activation of educational and cognitive activity, the development of all its components.
Keywords: unified information space, information digital environment, information digital technologies, multimedia lectures, virtual laboratory work, web quests, educational and cognitive activities, psychological and pedagogical conditions.
APPLICATION OF DATA MINING TOOLS FOR ANALYSIS AND FORECASTING OF LEARNING SATISFACTION
P.B. Skripko, V.S. Dunin, E.A. Kleimenov
The article discusses the features and results of using data mining tools, an application for building See5 decision trees, with which a number of parameters are determined on the basis of sociological survey data that are most important for assessing student satisfaction. Along with the features of using a software tool for data analysis in the work, the procedure for preparing data for downloading and further analysis is shown. At the same time, not only file formats loaded into the application are presented, but also approaches to cleaning and aggregating source data, including in order to reduce their dimensionality. Interpretation of the results of constructing decision trees – classification rules obtained during processing, is aimed, inter alia, at choosing the optimal settings for processing the source data. The classifier constructed using the data of a sociological survey showed that such parameters as the atmosphere of interpersonal relations, recognition of the achievements of the student, and the prestige of the educational organization have a significant impact on the classification. The paper also describes the procedure for assessing the predicted values of student satisfaction based on the input of the estimated values of the classification features.
Keywords: data mining tools, decision trees, decision rules, classifiers, forecasting student satisfaction.
INFORMATION RECEIVING IN ONLINE TRAINING PROCESS MANAGEMENT BASED ON COMPLEX OPEN ENDED ASSIGNMENTS SCORING
Information gathering stage is one of the most important stages in management. The efficiency of management depends on received information. Information gathering methods depend on an object of management specificity. Testing results are the main information in training process management in training systems. Collected statistics of the testing results is the base for decision-making. A problem occurs when a training course contains tasks, implementation results of which cannot be checked by means of tests. Such tasks are complex open ended assignments. Different methods are used for scoring such tasks in learning management systems and massive open online course platforms. The methods are addressed in the paper. Method classes such as: methods implemented by standard tools of training systems (student self assessment, peer assessment, tutor or external expert manual assessment), methods implemented by extending the functional possibilities of training systems (situational assignment), methods implemented by external programs (special methods for specific domain) are described. Applicability of methods for information gathering in online training process management is identified. Reliable and complete information can be received only by using situational assignment and special methods for specific domain.
Keywords: online learning, information gathering, training process management, complex open ended assignment, scoring technique, situational assignment.
MATHEMATICAL MODELING OF THE TASK OF DETERMINING A SET OF CONTROL EVENTS USING A FUZZY METHOD OF ANALYSIS OF HIERARCHIES AND A METHOD BASED ON MEASURING LATENT VARIABLES
N.E. Krasova, N.A. Aleynikova
The article discusses the mathematical modeling of the problem of multi-criteria selection of control measures for the ongoing monitoring of performance using two methods: a method of fuzzy analysis of hierarchies and a method based on measuring latent variables (the Rush method). Both methods are expert methods. The advantage of using a fuzzy hierarchy analysis method is to describe the relative attribute values using fuzzy numbers instead of exact ones. Due to this, the expert gets the opportunity not only to assess the degree of preference of one object over another, but also to express his doubts, experience, intuition in this assessment. The main disadvantage of this approach is the complexity and complexity of the calculations. The advantages of the Rush method are in the simplicity of calculations, in the transition from the subjective assessments of experts to the objective ones, which possess the property of linearity. Within the framework of the constructed hierarchical model aimed at increasing the efficiency of the learning process, weights of different types of control measures are determined by these methods. In the future, the weights obtained can be used as parameters in the models for the formation of a set of control measures based on minimizing the difficulty of their implementation and maximizing their usefulness.
Keywords: expert estimation methods, pairwise comparison matrix, fuzzy analysis of hierarchies, latent variables, Rush method.
A CONCEPT OF ONLINE AUTOMATED TRAINING PROCESS MANAGEMENT IN IMPLEMENTING COMPLEX OPEN ENDED ASSIGNMENTS BASED ON THE USE OF ERROR BANK
Online learning is widely distributed. This type of learning can take place at specific university by means of learning management system or by means of massive open online course platforms independently of universities. Management problems arise in existing training systems if a training course contains assignments, result of implementation of which cannot be checked by standard tests. This relates to knowledge and skills assimilation management and to training process management. A class of assignments which causes difficulties in online learning and training management (complex open ended assignments) is described in the paper. A concept of online automated training process management based on the use of error bank in implementing such tasks is suggested. The concept is based on system and process management approach, classification of errors made by students during complex open ended assignment implementation, the principle of management subsidiarity, automated training. Using of a specific software package, which contains software modules for automated scoring, information collection and processing, decision making, on a par with learning management systems with functionality of the automated training is proposed to increase the effectiveness of management.
Keywords: online learning, automated training, error classification, process management, training process management, complex open ended assignment.