Pub Date : 2023-08-31DOI: 10.21686/1818-4243-2023-4-29-41
S. A. Mikheev
Purpose of research. The higher education system is undergoing changes under the influence of an increasing number of IT solutions used. Transformation changes take place at the organizational, technological, legal, and regulatory levels of management. Each of the directions affects the features of the functioning and development of the higher education system. In the process of their implementation, there are also deviations, risks that need to be, if not eliminated, then at least minimized. The article describes four main directions of development: technical, technological, instrumental, and educational. The types of risks associated with each of the described areas are also highlighted.Materials and methods. A set of methods was used in the paper: bibliographic (selection of articles by keywords); bibliometric (quantitative characteristics by time parameters); content analysis (method of studying the content of articles); evaluation of keyword queries using Internet services.Results. An analysis of queries by keywords showed that interest in the issues of digitalization and digital transformation of higher education arose later than in the system of general secondary education. There is a tendency to adapt successful models of digitalization of secondary education and business areas to the activities of the higher education system. Without considering the peculiarities of the functioning and development of the higher education system, we can get negative consequences expressed in different types of risks. The paper highlights financial, form-major, technological, operational, strategic, cognitive, and social risks.Conclusion. One of the key problems highlighted in the process of analyzing developments in the field of digital transformation of the education system is the consideration of digitalization as means, and not as a catalyst for systemic changes in all areas of activity. Point solutions will not allow you to fully realize the potential of digital solutions. When considering the problems of digitalization and digital transformation, higher education systems are often guided by successful models in the field of secondary general education and / or business environment, which can contribute to the formation of negative consequences when adapting approaches without considering their own specifics.
{"title":"Digital Transformation of the Higher Education System: Directions and Risks","authors":"S. A. Mikheev","doi":"10.21686/1818-4243-2023-4-29-41","DOIUrl":"https://doi.org/10.21686/1818-4243-2023-4-29-41","url":null,"abstract":"Purpose of research. The higher education system is undergoing changes under the influence of an increasing number of IT solutions used. Transformation changes take place at the organizational, technological, legal, and regulatory levels of management. Each of the directions affects the features of the functioning and development of the higher education system. In the process of their implementation, there are also deviations, risks that need to be, if not eliminated, then at least minimized. The article describes four main directions of development: technical, technological, instrumental, and educational. The types of risks associated with each of the described areas are also highlighted.Materials and methods. A set of methods was used in the paper: bibliographic (selection of articles by keywords); bibliometric (quantitative characteristics by time parameters); content analysis (method of studying the content of articles); evaluation of keyword queries using Internet services.Results. An analysis of queries by keywords showed that interest in the issues of digitalization and digital transformation of higher education arose later than in the system of general secondary education. There is a tendency to adapt successful models of digitalization of secondary education and business areas to the activities of the higher education system. Without considering the peculiarities of the functioning and development of the higher education system, we can get negative consequences expressed in different types of risks. The paper highlights financial, form-major, technological, operational, strategic, cognitive, and social risks.Conclusion. One of the key problems highlighted in the process of analyzing developments in the field of digital transformation of the education system is the consideration of digitalization as means, and not as a catalyst for systemic changes in all areas of activity. Point solutions will not allow you to fully realize the potential of digital solutions. When considering the problems of digitalization and digital transformation, higher education systems are often guided by successful models in the field of secondary general education and / or business environment, which can contribute to the formation of negative consequences when adapting approaches without considering their own specifics.","PeriodicalId":33645,"journal":{"name":"Open Education Studies","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87457221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.21686/1818-4243-2023-4-52-59
A. Solodov, T. G. Trembach, K. E. Zhovnovatiy
The research method consists in applying the state space method, widely used in the study of automatic dynamical systems, to describe the behavior of cognitive systems. It is assumed, that at the input of the cognitive system, there is a signal and interference described by Poisson point processes, modeling the amount of information, the amount of emotional stress, etc., corresponding to each event. The cognitive properties of the system in the paper are taken into account by two circumstances. Firstly, events localized in time are characterized in the paper not only by the Poisson distribution of the times of their occurrence, but also by some random variables that characterize the importance (significance) events for the system. A typical example is the attribution of a certain amount of information to each event, if an information processing system is modeled. Another example is the emotional reaction of a person to the appearance of stress, described in a classic work on psychology. In this case, the point is the event that causes stress, and the effects of stress on the system are modeled by the relative magnitude of stress in accordance with the Holmes and Rahe scale. Secondly, the cognitive system processes, assimilates, adapts to the impact that each event has on it with its inherent speed. In this paper, this phenomenon is modeled as the passage of a point process through a dynamic system described by differential equations. Such processes are called filtered point processes. Examples of impacts are given and, for simplicity, an assumption is made about the magnitude of the impact as the amount of information received by the system when an event occurs. Thus, the model of a cognitive system is a dynamic system described by a differential equation in the state space, at the input of which messages with a certain information load appear at random discrete moments of time.As for any technical system, the cognitive system faces the task of evaluating the quality of its work. In this regard, the paper substantiates the use of a convenient quality index from an engineering point of view and an appropriate criterion in the form of a signal – interference ratio. The new results are differential equations in the state space for the mathematical expectations of the signal and interference, as well as an algorithm for calculating the noise immunity of the cognitive system. As an example, a graph of the noise immunity of a particular cognitive system is calculated and presented, confirming an intuitive idea of its behavior.In conclusion, it is noted that the main result of the paper is an algorithm for calculating the noise immunity of cognitive systems using differential equations that allow calculating the behavior of non-stationary cognitive systems under any point impacts described by a non-stationary function of the intensities of the appearance of points. The equations of behavior of the mathematical expectation of the processed information ar
{"title":"Algorithm for Calculating Noise Immunity of Cognitive Dynamic Systems in the State Space","authors":"A. Solodov, T. G. Trembach, K. E. Zhovnovatiy","doi":"10.21686/1818-4243-2023-4-52-59","DOIUrl":"https://doi.org/10.21686/1818-4243-2023-4-52-59","url":null,"abstract":"The research method consists in applying the state space method, widely used in the study of automatic dynamical systems, to describe the behavior of cognitive systems. It is assumed, that at the input of the cognitive system, there is a signal and interference described by Poisson point processes, modeling the amount of information, the amount of emotional stress, etc., corresponding to each event. The cognitive properties of the system in the paper are taken into account by two circumstances. Firstly, events localized in time are characterized in the paper not only by the Poisson distribution of the times of their occurrence, but also by some random variables that characterize the importance (significance) events for the system. A typical example is the attribution of a certain amount of information to each event, if an information processing system is modeled. Another example is the emotional reaction of a person to the appearance of stress, described in a classic work on psychology. In this case, the point is the event that causes stress, and the effects of stress on the system are modeled by the relative magnitude of stress in accordance with the Holmes and Rahe scale. Secondly, the cognitive system processes, assimilates, adapts to the impact that each event has on it with its inherent speed. In this paper, this phenomenon is modeled as the passage of a point process through a dynamic system described by differential equations. Such processes are called filtered point processes. Examples of impacts are given and, for simplicity, an assumption is made about the magnitude of the impact as the amount of information received by the system when an event occurs. Thus, the model of a cognitive system is a dynamic system described by a differential equation in the state space, at the input of which messages with a certain information load appear at random discrete moments of time.As for any technical system, the cognitive system faces the task of evaluating the quality of its work. In this regard, the paper substantiates the use of a convenient quality index from an engineering point of view and an appropriate criterion in the form of a signal – interference ratio. The new results are differential equations in the state space for the mathematical expectations of the signal and interference, as well as an algorithm for calculating the noise immunity of the cognitive system. As an example, a graph of the noise immunity of a particular cognitive system is calculated and presented, confirming an intuitive idea of its behavior.In conclusion, it is noted that the main result of the paper is an algorithm for calculating the noise immunity of cognitive systems using differential equations that allow calculating the behavior of non-stationary cognitive systems under any point impacts described by a non-stationary function of the intensities of the appearance of points. The equations of behavior of the mathematical expectation of the processed information ar","PeriodicalId":33645,"journal":{"name":"Open Education Studies","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83006656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.21686/1818-4243-2023-4-60-71
Jean Max T. Habib, A. A. Poguda
Purpose of research. The purpose of the study is to evaluate certain machine learning models in data processing based on speed and efficiency related to the analysis of sentiment or consumer opinions in business intelligence. To highlight the existing developments, an overview of modern methods and models of sentiment analysis is given, demonstrating their advantages and disadvantages.Materials and methods. In order to improve the semester analysis process, organized using existing methods and models, it is necessary to adjust it in accordance with the growing changes in information flows today. In this case, it is crucial for researchers to explore the possibilities of updating certain tools, either to combine them or to develop them to adapt them to modern tasks in order to provide a clearer understanding of the results of their treatment. We present a comparison of several deep learning models, including convolutional neural networks, recurrent neural networks, and long-term and shortterm bidirectional memory, evaluated using different approaches to word integration, including Bidirectional Encoder Representations from Transformers (BERT) and its variants, FastText and Word2Vec. Data augmentation was conducted using a simple data augmentation approach. This project uses natural language processing (NLP), deep learning, and models such as LSTM, CNN, SVM TF-IDF, Adaboost, Naive Bayes, and then combinations of models.The results of the study allowed us to obtain and verify model results with user reviews and compare model accuracy to see which model had the highest accuracy results from the models and their combination of CNN with LSTM model, but SVM with TF-IDF vectoring was most effective for this unbalanced data set. In the constructed model, the result was the following indexes: ROC AUC - 0.82, precision - 0.92, F1 - 0.82, Precision - 0.82, and Recall - 0.82. More research and model implementation can be done to find a better model.Conclusion. Natural language text analysis has advanced quite a bit in recent years, and it is possible that such problems will be completely solved in the near future. Several different models in ML and CNN with the LSTM model, but SVM with the TF-IDF vectorizer proved most effective for this unbalanced data set. In general, both deep classification algorithm. A combination of both approaches can also learning and feature-based selection methods can be used to solve be used to further improve the efficiency of the algorithm. some of the most pressing problems. Deep learning is useful when the most relevant features are not known in advance, while feature-based
{"title":"Comparison of Deep Learning Sentiment Analysis Methods, Including LSTM and Machine Learning","authors":"Jean Max T. Habib, A. A. Poguda","doi":"10.21686/1818-4243-2023-4-60-71","DOIUrl":"https://doi.org/10.21686/1818-4243-2023-4-60-71","url":null,"abstract":"Purpose of research. The purpose of the study is to evaluate certain machine learning models in data processing based on speed and efficiency related to the analysis of sentiment or consumer opinions in business intelligence. To highlight the existing developments, an overview of modern methods and models of sentiment analysis is given, demonstrating their advantages and disadvantages.Materials and methods. In order to improve the semester analysis process, organized using existing methods and models, it is necessary to adjust it in accordance with the growing changes in information flows today. In this case, it is crucial for researchers to explore the possibilities of updating certain tools, either to combine them or to develop them to adapt them to modern tasks in order to provide a clearer understanding of the results of their treatment. We present a comparison of several deep learning models, including convolutional neural networks, recurrent neural networks, and long-term and shortterm bidirectional memory, evaluated using different approaches to word integration, including Bidirectional Encoder Representations from Transformers (BERT) and its variants, FastText and Word2Vec. Data augmentation was conducted using a simple data augmentation approach. This project uses natural language processing (NLP), deep learning, and models such as LSTM, CNN, SVM TF-IDF, Adaboost, Naive Bayes, and then combinations of models.The results of the study allowed us to obtain and verify model results with user reviews and compare model accuracy to see which model had the highest accuracy results from the models and their combination of CNN with LSTM model, but SVM with TF-IDF vectoring was most effective for this unbalanced data set. In the constructed model, the result was the following indexes: ROC AUC - 0.82, precision - 0.92, F1 - 0.82, Precision - 0.82, and Recall - 0.82. More research and model implementation can be done to find a better model.Conclusion. Natural language text analysis has advanced quite a bit in recent years, and it is possible that such problems will be completely solved in the near future. Several different models in ML and CNN with the LSTM model, but SVM with the TF-IDF vectorizer proved most effective for this unbalanced data set. In general, both deep classification algorithm. A combination of both approaches can also learning and feature-based selection methods can be used to solve be used to further improve the efficiency of the algorithm. some of the most pressing problems. Deep learning is useful when the most relevant features are not known in advance, while feature-based","PeriodicalId":33645,"journal":{"name":"Open Education Studies","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91273016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-30DOI: 10.21686/1818-4243-2023-4-17-28
I. Andrianov, A. M. Polyanskiy, S. Rzheutskaya, M. V. Kharina
Purpose of research. Diagnostics of learning results presented in a competency-based format is currently a necessary part of the educational process of universities. The purpose of the research is to develop and implement a convenient and technological way to diagnose the results of mastering competencies by IT students in the information learning environment. One of the most popular distance learning systems in Russian universities, Moodle, supplemented with proprietary software and third-party resources, is used as the implementation environment. The article presents the results of modeling and implementation of the proposed method for diagnosing the results of mastering the competencies of IT students. Methods and materials. The authors propose an infological model of the process of preparing a bank of diagnostic tasks in a competence format. The necessity of decomposition of competence indicators into disciplinary components, the achievement of which can be diagnosed by known means of pedagogical measurements, is substantiated. The method of implementing the decomposition of competencies in the Moodle system using the Competence Framework, and the technology of preparing diagnostic tasks based on the principle of uniform coverage of all competence indicators by tasks are presented. A step-by-step algorithm for adjusting the bank of tasks is proposed. The algorithm is based on the analysis of the statistical characteristics of the results of completing tasks by students. A method for automatically tracking the mastering of competencies by students based on the results of performing diagnostic tasks in the Moodle system is described. Results. The article presents an example of the implementation of the proposed method for diagnosing the results of mastering the competencies in the process of training bachelors in the direction “09.03.04 Software engineering”. The following are presented: the result of decomposition of indicators of achievement of one of the decomposition of competencies into disciplinary components. The general professional competencies into disciplinary components, results of the implementation of the proposed method at the Vologda the process of preparing tasks for diagnostics for each disciplinary State University when teaching students of the direction “Software component, disciplinary and interdisciplinary results of diagnosing Engineering” are presented. The results of modeling and implethe mastering of competencies obtained in the Moodle system. mentation of the process of diagnostics of the results of mastering The results of the experiment showed that the implementation of competencies can be adapted to the educational process for various the proposed method in the information educational environment areas of training and forms of education. The continuation of this requires certain time costs at the preparatory stage, but they pay study has good prospects for improving the quality of diagnostic off by improving the qu
{"title":"Diagnostics of the results of mastering competencies in the information environment for teaching IT students","authors":"I. Andrianov, A. M. Polyanskiy, S. Rzheutskaya, M. V. Kharina","doi":"10.21686/1818-4243-2023-4-17-28","DOIUrl":"https://doi.org/10.21686/1818-4243-2023-4-17-28","url":null,"abstract":"Purpose of research. Diagnostics of learning results presented in a competency-based format is currently a necessary part of the educational process of universities. The purpose of the research is to develop and implement a convenient and technological way to diagnose the results of mastering competencies by IT students in the information learning environment. One of the most popular distance learning systems in Russian universities, Moodle, supplemented with proprietary software and third-party resources, is used as the implementation environment. The article presents the results of modeling and implementation of the proposed method for diagnosing the results of mastering the competencies of IT students. Methods and materials. The authors propose an infological model of the process of preparing a bank of diagnostic tasks in a competence format. The necessity of decomposition of competence indicators into disciplinary components, the achievement of which can be diagnosed by known means of pedagogical measurements, is substantiated. The method of implementing the decomposition of competencies in the Moodle system using the Competence Framework, and the technology of preparing diagnostic tasks based on the principle of uniform coverage of all competence indicators by tasks are presented. A step-by-step algorithm for adjusting the bank of tasks is proposed. The algorithm is based on the analysis of the statistical characteristics of the results of completing tasks by students. A method for automatically tracking the mastering of competencies by students based on the results of performing diagnostic tasks in the Moodle system is described. Results. The article presents an example of the implementation of the proposed method for diagnosing the results of mastering the competencies in the process of training bachelors in the direction “09.03.04 Software engineering”. The following are presented: the result of decomposition of indicators of achievement of one of the decomposition of competencies into disciplinary components. The general professional competencies into disciplinary components, results of the implementation of the proposed method at the Vologda the process of preparing tasks for diagnostics for each disciplinary State University when teaching students of the direction “Software component, disciplinary and interdisciplinary results of diagnosing Engineering” are presented. The results of modeling and implethe mastering of competencies obtained in the Moodle system. mentation of the process of diagnostics of the results of mastering The results of the experiment showed that the implementation of competencies can be adapted to the educational process for various the proposed method in the information educational environment areas of training and forms of education. The continuation of this requires certain time costs at the preparatory stage, but they pay study has good prospects for improving the quality of diagnostic off by improving the qu","PeriodicalId":33645,"journal":{"name":"Open Education Studies","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89750945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-30DOI: 10.21686/1818-4243-2023-4-4-16
F. Aghayev, G. Mammadova, R. T. Malikova
The purpose of this article is to show the evolution and requirements of the educational system in the era of the fourth industrial revolution, to identify the main problems, to identify current areas for further research.The fourth industrial revolution bases its development on smart technologies, artificial intelligence, big data, robotics, etc. In the new conditions, educational institutions are faced with the task of preparing successful graduates and new ways of learning. The relevance of the problems outlined in this article is determined by the main goal of higher education is to prepare qualified human resources for the country’s economy, create and maintain an extensive advanced knowledge base, and ensure the personal development of graduates of an educational institution. It is the quality of higher education that determines the quality of human resources in a country. To do this, students need to master a wide range of competencies in their chosen field of study, constantly expand the boundaries of knowledge in all disciplines, and develop professional skills in business, science and new technologies.Methodology and research methods. During the study, an analysis of scientific publications for the period 2012–2022 (plus the beginning of 2023) was carried out, posted in the databases: Springer Link, IEEE Xplore, ACM, Science Direct, Google Scholar, as well as in the scientific electronic library eLIBRARY.ru.In the course of the study, general scientific methods were used: an analytical review of the problem, methods of synthesis, induction, methods of comparative analysis, generalization and a systematic approach were applied to the use of intellectual analysis methods in e-education systems, scientific publications of the last 20 years were used.Results and scientific novelty. Our research has identified the most common tasks used in EDM, as well as those that are the most promising in the future. The theoretical analysis of the main key trends of “Education 4.0” carried out in the paper made it possible to identify the main characteristics of education. It was shown that education should become more individualized and adapted to the abilities of the learner. As a result of the study, the most characteristic tasks of Data Mining in education were identified, ways of its improvement and quality improvement were shown. Practical significance. Currently, educational institutions are striving to improve their learning and teaching by analyzing data collected during students’ studies, developing new databased system in the era of “Industry 4.0”. It is expected that the results mechanisms and improving interesting models that can help obtained can be used by specialists, managers and teachers to improve improve academic outcomes, stimulate student motivation and educational activities. avoid dropouts.The results obtained can be used as information material in further research related to the study of the development of the educationsystem in
{"title":"“Education 4.0” in the Era of Digital Transformation: Ways to Improve Its Efficiency","authors":"F. Aghayev, G. Mammadova, R. T. Malikova","doi":"10.21686/1818-4243-2023-4-4-16","DOIUrl":"https://doi.org/10.21686/1818-4243-2023-4-4-16","url":null,"abstract":"The purpose of this article is to show the evolution and requirements of the educational system in the era of the fourth industrial revolution, to identify the main problems, to identify current areas for further research.The fourth industrial revolution bases its development on smart technologies, artificial intelligence, big data, robotics, etc. In the new conditions, educational institutions are faced with the task of preparing successful graduates and new ways of learning. The relevance of the problems outlined in this article is determined by the main goal of higher education is to prepare qualified human resources for the country’s economy, create and maintain an extensive advanced knowledge base, and ensure the personal development of graduates of an educational institution. It is the quality of higher education that determines the quality of human resources in a country. To do this, students need to master a wide range of competencies in their chosen field of study, constantly expand the boundaries of knowledge in all disciplines, and develop professional skills in business, science and new technologies.Methodology and research methods. During the study, an analysis of scientific publications for the period 2012–2022 (plus the beginning of 2023) was carried out, posted in the databases: Springer Link, IEEE Xplore, ACM, Science Direct, Google Scholar, as well as in the scientific electronic library eLIBRARY.ru.In the course of the study, general scientific methods were used: an analytical review of the problem, methods of synthesis, induction, methods of comparative analysis, generalization and a systematic approach were applied to the use of intellectual analysis methods in e-education systems, scientific publications of the last 20 years were used.Results and scientific novelty. Our research has identified the most common tasks used in EDM, as well as those that are the most promising in the future. The theoretical analysis of the main key trends of “Education 4.0” carried out in the paper made it possible to identify the main characteristics of education. It was shown that education should become more individualized and adapted to the abilities of the learner. As a result of the study, the most characteristic tasks of Data Mining in education were identified, ways of its improvement and quality improvement were shown. Practical significance. Currently, educational institutions are striving to improve their learning and teaching by analyzing data collected during students’ studies, developing new databased system in the era of “Industry 4.0”. It is expected that the results mechanisms and improving interesting models that can help obtained can be used by specialists, managers and teachers to improve improve academic outcomes, stimulate student motivation and educational activities. avoid dropouts.The results obtained can be used as information material in further research related to the study of the development of the educationsystem in ","PeriodicalId":33645,"journal":{"name":"Open Education Studies","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78628241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-17DOI: 10.21686/1818-4243-2023-3-16
B. Begalov, I. Zhukovskaya, Sh. G. Odilov
Purpose of the study. The main purpose of this article is to identify the main directions, means and methods of applying digital technological solutions in the static activities of the Republic of Uzbekistan and develop new recommendations for further improvement of this area of the national economy in the context of digital transformation of the world economic system.Materials and methods. When writing this article, the authors used the methods of system analysis, synthesis, induction, deduction, methods of working with computer networks, digital services and platforms, special methods and tools necessary for working with a statistical information system, statistical, optimization and software methods for working with the portal of the Agency of Statistics under the President of the Republic of Uzbekistan.Results. The authors of the article studied modern scientific and practical approaches to the effective use of digital technological solutions in the field of statistics, both on a global scale and in the Republic of Uzbekistan. Based on the conducted research, the authors concluded that in order to improve the national statistical system of the Republic of Uzbekistan, it is necessary to widely use advanced technological solutions using a full range of digital mechanisms, including innovative approaches to automating the processes of collecting and processing statistical information, creating the possibility of searching and obtaining statistical and analytical data in an interactive form for short periods of time, organizing interaction between statistical bodies and other ministries and departments of the country.The authors of the paper also noted that all processes for the effective introduction of digital technologies in the statistical sphere are carried out within the framework of the «Digital Uzbekistan – 2030» strategy and in accordance with the decree of the President of the Republic of Uzbekistan. In particular, the Agency of Statistics under the President of the Republic of Uzbekistan was entrusted with certain tasks, such as improving information systems for storing, processing and presenting statistical data, platforms for the unified state register of enterprises and organizations, as well as automating population registration processes. As part of the implementation of these tasks, a lot of work is being done to in-depth study of new areas and modern technologies in the field of the digital economy and e-government for their implementation in statistical activities.Conclusion. Modern world trends in the effective implementation of digital technologies in the processes of collecting, processing, transmitting and storing information in various sectors and areas of the world economy are also firmly included in the sphere of statistical activity of the Republic of Uzbekistan. As practice shows, at present, digital web services, software systems, information systems based on the use of digital devices and technologies are already ope
{"title":"Digital Technologies Are a Strong Basis for Improving the Statistical Activities of the Republic of Uzbekistan","authors":"B. Begalov, I. Zhukovskaya, Sh. G. Odilov","doi":"10.21686/1818-4243-2023-3-16","DOIUrl":"https://doi.org/10.21686/1818-4243-2023-3-16","url":null,"abstract":"Purpose of the study. The main purpose of this article is to identify the main directions, means and methods of applying digital technological solutions in the static activities of the Republic of Uzbekistan and develop new recommendations for further improvement of this area of the national economy in the context of digital transformation of the world economic system.Materials and methods. When writing this article, the authors used the methods of system analysis, synthesis, induction, deduction, methods of working with computer networks, digital services and platforms, special methods and tools necessary for working with a statistical information system, statistical, optimization and software methods for working with the portal of the Agency of Statistics under the President of the Republic of Uzbekistan.Results. The authors of the article studied modern scientific and practical approaches to the effective use of digital technological solutions in the field of statistics, both on a global scale and in the Republic of Uzbekistan. Based on the conducted research, the authors concluded that in order to improve the national statistical system of the Republic of Uzbekistan, it is necessary to widely use advanced technological solutions using a full range of digital mechanisms, including innovative approaches to automating the processes of collecting and processing statistical information, creating the possibility of searching and obtaining statistical and analytical data in an interactive form for short periods of time, organizing interaction between statistical bodies and other ministries and departments of the country.The authors of the paper also noted that all processes for the effective introduction of digital technologies in the statistical sphere are carried out within the framework of the «Digital Uzbekistan – 2030» strategy and in accordance with the decree of the President of the Republic of Uzbekistan. In particular, the Agency of Statistics under the President of the Republic of Uzbekistan was entrusted with certain tasks, such as improving information systems for storing, processing and presenting statistical data, platforms for the unified state register of enterprises and organizations, as well as automating population registration processes. As part of the implementation of these tasks, a lot of work is being done to in-depth study of new areas and modern technologies in the field of the digital economy and e-government for their implementation in statistical activities.Conclusion. Modern world trends in the effective implementation of digital technologies in the processes of collecting, processing, transmitting and storing information in various sectors and areas of the world economy are also firmly included in the sphere of statistical activity of the Republic of Uzbekistan. As practice shows, at present, digital web services, software systems, information systems based on the use of digital devices and technologies are already ope","PeriodicalId":33645,"journal":{"name":"Open Education Studies","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84417865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-20DOI: 10.21686/1818-4243-2023-3-17-26
K. Mulyukova, I. V. Mulyukov, V. Kureichik
The purpose of this research is to study modern problems and prospects for solving the processing of big data containing information about real estate, as well as the possibility of practical implementation of the methodology for processing such data arrays by designing and filling a special graphic abstraction «metahouse» on a practical example.Materials and methods. The study includes a review of bibliographic sources on the problems of big data analysis and their application in the modern field of construction of large cities. During the study, a technique for presenting data in a graphical form – abstraction was used. The mathematical basis of the technique is the use of multidimensional spaces, where measurements are the characteristics of individual objects. Computer simulation of a practical problem was applied using the C# programming language. Big data storage is based on the MongoDB server. To visualize data, a Web interface based on HTML and CSS is used.Results. In the course of the work, the main characteristics of big data were identified, and the specifics of data arrays consisting of information about real estate objects in a large city were described. When processing data consisting of information about real estate objects of a large city, certain difficulties arise. Thereby, methods for effectively solving the set practical task of processing and searching for patterns in a large data array were proposed: «metahouse» abstraction, data aggregator.Tabular data were obtained for a large city by analyzing three million records containing more than 10 data groups, with a basic set of parameters: floor, number of floors, price, area, living area, kitchen area, type, operation. A MongoDB cluster was created on several computers, each of which was working with its own data set without intermediate results.The results of the computational experiment showed that when using the graphical form (vector) of big data representation, the costs and time for interpreting mining data were reduced.Combining big data processing methods and their presentation through graphical abstraction allows getting new results from existing data sets.Conclusion. During the study, it was found that the presentation of groups of the received data in a graphic image has a number of advantages over a tabular presentation of data (a vector image is easy to scale, the ability to compare without plotting).The proposed way for visualizing big data by constructing abstract vector images is an alternative to traditional tables, allowing you to take a different look at data arrays and the results of their processing. The results obtained can be used both for the primary study of big data processing technologies and as a basis for the development of real applications in the following areas: analysis of changes in the area of houses over time, analysis of changes in the number of floors of urban development, dynamics and distribution of supply and demand, etc.
{"title":"Big Data Intelligent Analysis Technology for the Study of Spatial and Time Trends in the Development of Large Cities","authors":"K. Mulyukova, I. V. Mulyukov, V. Kureichik","doi":"10.21686/1818-4243-2023-3-17-26","DOIUrl":"https://doi.org/10.21686/1818-4243-2023-3-17-26","url":null,"abstract":"The purpose of this research is to study modern problems and prospects for solving the processing of big data containing information about real estate, as well as the possibility of practical implementation of the methodology for processing such data arrays by designing and filling a special graphic abstraction «metahouse» on a practical example.Materials and methods. The study includes a review of bibliographic sources on the problems of big data analysis and their application in the modern field of construction of large cities. During the study, a technique for presenting data in a graphical form – abstraction was used. The mathematical basis of the technique is the use of multidimensional spaces, where measurements are the characteristics of individual objects. Computer simulation of a practical problem was applied using the C# programming language. Big data storage is based on the MongoDB server. To visualize data, a Web interface based on HTML and CSS is used.Results. In the course of the work, the main characteristics of big data were identified, and the specifics of data arrays consisting of information about real estate objects in a large city were described. When processing data consisting of information about real estate objects of a large city, certain difficulties arise. Thereby, methods for effectively solving the set practical task of processing and searching for patterns in a large data array were proposed: «metahouse» abstraction, data aggregator.Tabular data were obtained for a large city by analyzing three million records containing more than 10 data groups, with a basic set of parameters: floor, number of floors, price, area, living area, kitchen area, type, operation. A MongoDB cluster was created on several computers, each of which was working with its own data set without intermediate results.The results of the computational experiment showed that when using the graphical form (vector) of big data representation, the costs and time for interpreting mining data were reduced.Combining big data processing methods and their presentation through graphical abstraction allows getting new results from existing data sets.Conclusion. During the study, it was found that the presentation of groups of the received data in a graphic image has a number of advantages over a tabular presentation of data (a vector image is easy to scale, the ability to compare without plotting).The proposed way for visualizing big data by constructing abstract vector images is an alternative to traditional tables, allowing you to take a different look at data arrays and the results of their processing. The results obtained can be used both for the primary study of big data processing technologies and as a basis for the development of real applications in the following areas: analysis of changes in the area of houses over time, analysis of changes in the number of floors of urban development, dynamics and distribution of supply and demand, etc.","PeriodicalId":33645,"journal":{"name":"Open Education Studies","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90273058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-20DOI: 10.21686/1818-4243-2023-3-36-42
A. Mosalev
Purpose of the study. The formulation of a program of educational work in universities is one of the most important in the framework of the formation of the personality of a graduate. However, the rules for the formation of such a program are framework and are based on the state strategy of educational activities, as well as in accordance with the profile of the educational institution itself. Such an «open» state of the formation of programs, of course, gives advantages in the freedom to choose the trajectories of educational work with students; however, it also leaves an imprint on the possibility of fully considering the interests of all aspects of the educational process. It is important to form a vision of how, what parameters will consider the opinion of not only the leadership of the educational institution, the teaching staff, but also the students themselves, as well as their parents.Materials and methods. The basis for the study was the materials of the regulatory framework and theoretical articles in the field of educational activities. Emphasis was placed on a systematic analysis of the relationship of educational practices with an eye on the value orientations of today’s youth. In terms of developing proposals, the method of an online questionnaire survey of students, parents and legal guardians, teaching staff, faculty management, as well as representatives of departments in whose competence are issues of educational activities was used.Results. Maps for assessing the parameters of educational work have been developed in the context of spiritual, moral, and socio-axiological parameters. Based on the analysis, it was possible to structure both the strengths of the educational practice of the university, as well as weaknesses that are important to pay attention to. As a result, the approach described in the article allows an educational institution, when forming its own program of educating students, determining the development trajectories of each student, to understand what problems and misunderstandings may arise in the system plan, and to determine for themselves what individual parameters of educational contexts are important to focus on.Conclusion. The author is working on the systematization of the practices of the educational process through the systemic decomposition of the individual components of the programs of educational work with students at the university. Questions that require further research – what should be the indicative indexes and tools for measuring them, as well as the frequency of such work. Therefore, for example, it draws attention to what metrics will allow assessing the degree of development of internal feelings among students as will, justice, faith in goodness, etc.
{"title":"Parameterization of Educational Activities in an Educational Institution of Higher Education","authors":"A. Mosalev","doi":"10.21686/1818-4243-2023-3-36-42","DOIUrl":"https://doi.org/10.21686/1818-4243-2023-3-36-42","url":null,"abstract":"Purpose of the study. The formulation of a program of educational work in universities is one of the most important in the framework of the formation of the personality of a graduate. However, the rules for the formation of such a program are framework and are based on the state strategy of educational activities, as well as in accordance with the profile of the educational institution itself. Such an «open» state of the formation of programs, of course, gives advantages in the freedom to choose the trajectories of educational work with students; however, it also leaves an imprint on the possibility of fully considering the interests of all aspects of the educational process. It is important to form a vision of how, what parameters will consider the opinion of not only the leadership of the educational institution, the teaching staff, but also the students themselves, as well as their parents.Materials and methods. The basis for the study was the materials of the regulatory framework and theoretical articles in the field of educational activities. Emphasis was placed on a systematic analysis of the relationship of educational practices with an eye on the value orientations of today’s youth. In terms of developing proposals, the method of an online questionnaire survey of students, parents and legal guardians, teaching staff, faculty management, as well as representatives of departments in whose competence are issues of educational activities was used.Results. Maps for assessing the parameters of educational work have been developed in the context of spiritual, moral, and socio-axiological parameters. Based on the analysis, it was possible to structure both the strengths of the educational practice of the university, as well as weaknesses that are important to pay attention to. As a result, the approach described in the article allows an educational institution, when forming its own program of educating students, determining the development trajectories of each student, to understand what problems and misunderstandings may arise in the system plan, and to determine for themselves what individual parameters of educational contexts are important to focus on.Conclusion. The author is working on the systematization of the practices of the educational process through the systemic decomposition of the individual components of the programs of educational work with students at the university. Questions that require further research – what should be the indicative indexes and tools for measuring them, as well as the frequency of such work. Therefore, for example, it draws attention to what metrics will allow assessing the degree of development of internal feelings among students as will, justice, faith in goodness, etc.","PeriodicalId":33645,"journal":{"name":"Open Education Studies","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78622214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-20DOI: 10.21686/1818-4243-2023-3-27-35
K. Kolin
The purpose of the research. The article is devoted to the analysis of the main directions of development of the higher education system in Russia, which is currently under modernization and should receive new content in order to become adequate to the strategic goals and national priorities of our country in the new geopolitical conditions. The lessons of Russia’s special military operation in Ukraine have shown the need to modernize our country’s higher education in the interests of developing the military-industrial complex and ensuring national security. At the same time, in order to improve the quality of education of engineering specialists, they also need systemic and humanitarian knowledge based on the latest achievements of domestic and world science. This knowledge is also necessary for other specialists with higher education in order for them to form a systemic type of thinking, which is required today to adequately counter the new challenges and threats of the 21st century.Materials and methods. In the course of the research, review publications were used on the current state of ensuring Russia’s national security by the necessary specialists with higher education, as well as on the projected challenges and threats to Russia’s national security, the counteraction of which requires adequate changes in the education system.The results of the study. As a result of the research, the structure of priority directions for the development of the higher education system in Russia for the period up to 2030 has been determined. The implementation of these directions will make this system more adequate to Russia’s strategic goals and national priorities for this period in the new geopolitical conditions. It is shown that one of the urgent tasks is the formation of a comprehensive information education system in our country, the conceptual foundations of which have been developed in the Russian Academy of Sciences. The tasks of the education system for the formation of a culture of safety in society are also considered – a new direction in the development of culture, which is already being formed and is a necessary condition for the further safe development of world civilization.
{"title":"Modern problems of higher education development in Russia","authors":"K. Kolin","doi":"10.21686/1818-4243-2023-3-27-35","DOIUrl":"https://doi.org/10.21686/1818-4243-2023-3-27-35","url":null,"abstract":"The purpose of the research. The article is devoted to the analysis of the main directions of development of the higher education system in Russia, which is currently under modernization and should receive new content in order to become adequate to the strategic goals and national priorities of our country in the new geopolitical conditions. The lessons of Russia’s special military operation in Ukraine have shown the need to modernize our country’s higher education in the interests of developing the military-industrial complex and ensuring national security. At the same time, in order to improve the quality of education of engineering specialists, they also need systemic and humanitarian knowledge based on the latest achievements of domestic and world science. This knowledge is also necessary for other specialists with higher education in order for them to form a systemic type of thinking, which is required today to adequately counter the new challenges and threats of the 21st century.Materials and methods. In the course of the research, review publications were used on the current state of ensuring Russia’s national security by the necessary specialists with higher education, as well as on the projected challenges and threats to Russia’s national security, the counteraction of which requires adequate changes in the education system.The results of the study. As a result of the research, the structure of priority directions for the development of the higher education system in Russia for the period up to 2030 has been determined. The implementation of these directions will make this system more adequate to Russia’s strategic goals and national priorities for this period in the new geopolitical conditions. It is shown that one of the urgent tasks is the formation of a comprehensive information education system in our country, the conceptual foundations of which have been developed in the Russian Academy of Sciences. The tasks of the education system for the formation of a culture of safety in society are also considered – a new direction in the development of culture, which is already being formed and is a necessary condition for the further safe development of world civilization.","PeriodicalId":33645,"journal":{"name":"Open Education Studies","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88507993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-07DOI: 10.21686/1818-4243-2023-2-16-26
I. Zagoumennov
The purpose of the work is to substantiate a practice-oriented interactive information and pedagogical technology of blended learning “flipped classroom” in the formation of leadership qualities in future IT specialists. The relevance of this problem is due to the process of transition of the national economy to an innovative development path and the demand in this regard for IT specialists who are ready to become leaders in their field and are able to captivate and lead their teams.Materials and methods. To achieve this goal, methods of comparative analysis of existing domestic and foreign approaches to the use of blended learning technology “flipped classroom” were used, as well as a general scientific system approach that allows to study the process of interaction between subjects and objects of educational activity at a university and the possibility of increasing the efficiency of the educational process based on the use of digital tools and distance learning system (DLS) Moodle. The developed technology was tested in the Minsk branch of the Plekhanov Russian University of Economics in work with students of the direction of training 38.03.05 “Business Informatics”, the profile of the program is “Digital Transformation of Business”.Results. In the framework of the study, a practice-oriented interactive information and pedagogical technology of blended learning “flipped classroom” was developed and successfully tested, aimed at developing leadership qualities in future IT specialists. The proposed use of blended learning technology successfully responds to the challenges that foreign and domestic researchers and practitioners face when implementing the flipped classroom technology, namely: students’ commitment to the traditional passive learning format, their lack of motivation necessary for independent work and cooperation with each other in the process of preparing for the classroom and, as a result, the unpreparedness of students for the classroom and the low level of their activity and cooperation in the classroom.Conclusion. The proposed information and pedagogical technology makes it possible to develop a corporate team culture in student groups and forms their ability to lead their teams to success in educational, research and innovation activities.
{"title":"Using the Technology of Blended Learning “Flipped Classroom” in the Formation of Leadership Qualities in Future IT Specialists","authors":"I. Zagoumennov","doi":"10.21686/1818-4243-2023-2-16-26","DOIUrl":"https://doi.org/10.21686/1818-4243-2023-2-16-26","url":null,"abstract":"The purpose of the work is to substantiate a practice-oriented interactive information and pedagogical technology of blended learning “flipped classroom” in the formation of leadership qualities in future IT specialists. The relevance of this problem is due to the process of transition of the national economy to an innovative development path and the demand in this regard for IT specialists who are ready to become leaders in their field and are able to captivate and lead their teams.Materials and methods. To achieve this goal, methods of comparative analysis of existing domestic and foreign approaches to the use of blended learning technology “flipped classroom” were used, as well as a general scientific system approach that allows to study the process of interaction between subjects and objects of educational activity at a university and the possibility of increasing the efficiency of the educational process based on the use of digital tools and distance learning system (DLS) Moodle. The developed technology was tested in the Minsk branch of the Plekhanov Russian University of Economics in work with students of the direction of training 38.03.05 “Business Informatics”, the profile of the program is “Digital Transformation of Business”.Results. In the framework of the study, a practice-oriented interactive information and pedagogical technology of blended learning “flipped classroom” was developed and successfully tested, aimed at developing leadership qualities in future IT specialists. The proposed use of blended learning technology successfully responds to the challenges that foreign and domestic researchers and practitioners face when implementing the flipped classroom technology, namely: students’ commitment to the traditional passive learning format, their lack of motivation necessary for independent work and cooperation with each other in the process of preparing for the classroom and, as a result, the unpreparedness of students for the classroom and the low level of their activity and cooperation in the classroom.Conclusion. The proposed information and pedagogical technology makes it possible to develop a corporate team culture in student groups and forms their ability to lead their teams to success in educational, research and innovation activities.","PeriodicalId":33645,"journal":{"name":"Open Education Studies","volume":"145 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76619711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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