PEDAGOGICAL EXPERIENCE
Artificial Intelligence (AI) technologies are being actively developed and the number of applications is growing rapidly. The education sector is no exception, which in the future can be significantly transformed using AI, for example, in terms of the development of approaches to the customization of the educational route. At the same time, the active development of neuroimaging technologies, as well as progress in neuroscience and neurotechnology, allows providing AI algorithms with important data about the functioning of the learner’s brain.
The article considers the issues of customization of the lifelong learning route (CLLR) using the mentioned assistive technologies: neurotechnologies and artificial intelligence. The basic principle of functioning of the proposed CLLR is formulated: based on the analysis of recorded multimodal data about the learner algorithms based on AI propose actions to implement feedback, which will increase the efficiency and customization of the educational process.
The modular principle of constructing the CLLR system is proposed, and the methods of AI that can find application as the core of an intelligent subsystem of CLLR are discussed. In conclusion, various strategies of application of the proposed CLLR system, which will allow to implement a universal system of educational decision-making support on its basis, are presented.
The article explores theoretical and practical issues of developing skills in data visualization and visual analytics in informatics course (including examples of constructing analytical, tabular and visual models using diagrams).
This study includes a review of bibliographic sources on the problems of developing visualization and visual analytics skills in the course of educational and scientific activities. It also includes development of a visualization and visual analysis competency structure. In the course of the study were applied methods of modeling (analytical and graphical models), methods of visualization and data systematization. In particular, such components of the competency of visualization and visual analysis as analytical, critical, abstract-logical, visual-figurative, spatial-figurative, associative, systemic, algorithmic were proposed and analyzed. The methods of forming this competency in the course of informatics were also considered.
The article not only describes but also analyzes the problems, connected with formation of visualization and visual analysis competency. The study also presents methodological guidelines for the laboratory practical work, developed to teach the skills of graphic analytics in the informatics course, intended for students of the Faculty of Economics of the Bashkir State Agrarian University.
The article is aimed at a wide range of specialists in the field of data analytics and visualization, including IT teachers, researchers, etc.
The modernization of the national education creates a clear need for revision of the existing educational trajectories and close interaction between the employer and the educational institution in order to train highly qualified specialists. With all the variety of specialties and educational institutions in Russia, there is a shortage of professional staff. This trend is also typical for the IT sphere. Therefore, educational institutions need to cooperate not only with state institutions, but also with employers. The triple alliance “student — university — employer” is a stable platform for the development of young professionals. Basic departments and laboratories are created on the basis of higher education institutions through cooperation with potential employers.
On March 17, 2022, there was a Strategic Partnership Agreement signed between I. N. Ulyanov Chuvash State University (ChuvSU), 1C Company and LLC “Leader Soft — Implementation Center”. The subject of this agreement was cooperation with the purpose of special training of the university students in the field of development, implementation and operation of software on the platform “1C:Enterprise” and “1C” products. Within the framework of the agreement 1C interfaculty core laboratory was created.
This article explores the activities of 1C interfaculty core laboratory at ChuvSU for the year 2022. The innovative experience of partnership between the employing company and the educational institution, which will be in demand in other regions of the country, is presented on the example of creating a basic laboratory in the Chuvash university.
PEDAGOGICAL ASSESSMENTS AND TESTS
Student retention prediction is one of the most important problems of learning analytics. In the global scope research on the topic for higher education is rather extensive, there are cases of successful implementation of education support services in universities. The literature analysis shows of the growing interest in this problem in the Russian scientific and pedagogical community. At the same time, the specifics of Russian education does not allow direct transfer of foreign experience into the domestic educational system.
The study reveals that a significant contribution to predicting student retention can be made by models for predicting academic performance in educational courses of the curriculum. The authors propose a structural model of a system for predicting academic performance, which includes a universal model based on generalized indicators of the digital footprint, a course-based model that takes into account the specifics of learning in a particular discipline, and a model based on the student’s educational profile.
In the empirical study we trained 5 models for early prediction of interim assessment grades based on the universal indicators of the LMS Moodle student digital footprint. The most accurate model, especially in the first half of the semester, turned out to be ensemble-averaging models of logistic regression, random forest and gradient boosting. It was found that universal models are effective for detection of at-risk students in the discipline, the directions for further improvement of the universal model of performance prediction were determined and conditions for scaling the proposed approach to create a prognostic system for student retention to other educational institutions were formulated.
INFORMATIZATION OF EDUCATION
The functioning of the business processes of an educational organization is difficult to imagine without the use of appropriate digital tools. Today they must comply with the needs of the national educational system, taking into account external sanctions. Relevant for the education system is the creation of an integrated service that would not only eliminate the problem of “patchwork” automation, but also provide the most friendly format for interaction between the staff of an educational organization, students and customers of the educational service at all stages — from the moment of forming interest in training to maintaining communication with the graduate.
That is why the aim of the work was to formalize a number of requirements due to the peculiarities of the process of providing educational services. According to the results of expert evaluation (194 experts were involved for the analysis), the author conducted clustering of evaluation results, and then identified and grouped the wishes of administrators and teachers to create the mentioned integrated service. The most significant result should be considered the revealed inconsistency of interests of the main actors of educational organization business-processes, since 80 % of experts’ assessments fell into clusters with opposite wishes. This can be used in the automation projects of educational organizations. It was noted that in the educational sphere it is important to have not only effective business processes, but also the involvement of all employees in achieving positive educational results for students.
Globalization of all spheres of activity of educational systems determines the need to create simple and accessible tools for monitoring and evaluating the quality of objects and resources. In particular, due to the need to intensify the processes of digital transformation of education, it is important to assess the quality of digital educational environments (DEE). The aim of the work is to substantiate the approach and describe the procedure for monitoring of DEE of educational institutions based on the available cloud services, providing convenient collection, accumulation, and processing of statistical and monitoring indicators.
The projective criterial model of the system of assessment and monitoring of the quality of DEE, which is based on the results of self-assessment of the educational organization and external expert evaluation, was adopted. The main feature of the model is the participation of organizations and external experts in the process of designing criterion rubrics, conducting and analyzing the results of monitoring. Yandex Forms service is used for self-assessment of DEE and expert evaluation of the educational organization website which allows converting of the collected data into spreadsheets. By combining the data and their statistical processing it is possible to obtain indicators for different slices and ratings, to conduct a summary clustering of the DEE of the studied organizations by three levels: low, average, and high.
The proposed model was implemented in the assessment of DEE practices of supplementary education for children. To determine the quantitative and qualitative indicators of the DLE and the official sites of additional education organizations we created questionnaires in Yandex Forms filled in by the representatives of the studied organizations. Pilot testing showed that the collection, processing, and delivery of monitoring data to users was technologically simple and easy.
The projective criterial model for assessing the quality of the DEE of supplementary education organizations can be used for many other studies related to criterion-based assessment activities.
The article proposes a technology for the digital transformation of the quality management process of intermediate certification.
The analysis of experience in creating and implementing models, technologies, and systems that implement the tasks of information support of the process of intermediate certification is carried out. Based on the analysis, the authors present their version of the problem of quality management of the process of intermediate certification in an educational institution in the context of digital transformation.
The digital transformation of the quality management process of the intermediate certification is interpreted as the transformation of the entire process of intermediate certification, the technology of its organization and conduction, aimed at design and implementation of an information management system in the framework of digital policy of educational institutions which solve the problem of quality information support of intermediate certification (ensuring relevance, reliability, integrity, legal correctness, addressability, information protection) and the problem of managing of the process of intermediate certification (planning, monitoring, control, decision-making to improve), minimizing corruption risks and forming a digital trail of students.
On the example of the Siberian State University of Geosystems and Technologies, the experience of implementing the technology of information support of intermediate certification and the formation of a student’s digital footprint is presented. The technology is distinguished by the presence of the function of “self-control” of the quality of information, which minimizes various risks of loss of information quality, including corruption.
Based on the experience of automating the quality management process of interim certification in various educational institutions under different learning models (linear, credit, mixed), the authors presented a number of recommendations that can be useful in the process of digital transformation of educational institutions.
The use of virtual laboratory classes in teaching allows the reproduction of online laboratory workshop that require expensive materials or tools, as well as making the learning process interactive and remote. The use of modern web technologies makes it possible to bypass compatibility problems on users’ computers and perform laboratory classes remotely online.
The purpose of this research is to develop computer virtual 3D-laboratory class and web-access simulators for disciplines taught at the Reshetnev Siberian State University of Science and Technology (SibGU).
The analysis of the current state in the field of virtual laboratory development carried out by the authors allowed us to conclude that it is impossible to use ready-made solutions. The choice of tools for the development of their own software products was made, the disciplines for the implementation of 3D-laboratory classes were selected, technical specifications were developed, methods of user interaction with objects and objects interaction with each other were developed, 3D-models needed for the visualization of laboratory work were created.
The final result of the research is software products — virtual 3D-laboratory workshops for students of technical specialties, implemented with a similar set of software solutions, hosted on the SibGU server. The software products were tested by students in real classes and then the created applications were implemented in the electronic training modules of the university.
The developed computer implementations of laboratory workshops are not only successfully used in the educational process of SibGU, but also allow to solve the problem of conducting laboratory classes in the forced distance form of education, as well as help to compensate for the lack of necessary equipment.
Application of virtual laboratory classes helps to engage students in learning and improve their digital literacy.
ISSN 2658-7769 (Online)