2 research outputs found

    ΠœΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΡ‡Π΅ΡΠΊΠ°Ρ модСль формирования Π±Π°Π·ΠΎΠ²ΠΎΠΉ статистичСской Π²Ρ‹Π±ΠΎΡ€ΠΊΠΈ для ΠΎΡ†Π΅Π½ΠΊΠΈ уровня освоСния Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΉ ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ

    Get PDF
    Purpose of the research. The research of influence of the system of professional education on parameters of development of digital economy in Russian Federation regions can be conducted in different directions: identification of the professional education system status as the institute, providing the digital economy of the region with human resources; to identify the needs of the separate industries of economy for the specialists, having the corresponding competences for the work in the field of the digital economy. The purpose of this research is justification of the mathematical model, allowing creating evidential basic statistical sampling for the evaluation of the levels of mastering digital competences by lecturers of educational institutions of professional education.Materials and methods. In this work the estimation methods, based on soft computing is offered. This approach allows correlating a quality indicator of mastering digital competences and quantitative category, to create basic statistical sampling for the analysis of personnel potential in the field of professional education and assessment of digital competences development in the explored area. The competence-based approach is used for the assessment of readiness of lecturers of the professional education system to carry out the professional activity, aimed at providing development of digital economy of the region. The received values of levels of mastering different digital competences are aggregated on each indicator of a linguistic variable in summary values, which can be used as basic statistical sampling.Results. On the basis of this model statistical analysis of the human resources of the region in the aspect of formation of knowledge and abilities in the field of information and computer technologies can be carried out. This model can be used for information processing about testing of different groups: pedagogical employees, public and municipal officers. The results will allow to diagnose an initial status of levels of mastering digital competences of the employees of the regional industry or the studied organization and to carry out monitoring of development of human resources of the region within the Digital Economy project. Statistically the data obtained on the basis of the offered model are well interpreted with the use of standard graphic means (for example, diagrams and histograms).Conclusion. The developed mathematical model is tested on the basis of real data and accepted as the basic one for evaluating the level of mastering digital competences of lecturers by the Ministry of Education and Youth Policy of the Ryazan region. The offered model has characteristic of universality and can be applied to receive basic statistical samplings of the level of mastering digital competences of areas of the real sector of economy. Further researches are planned to be conducted in the sphere of automation of process of the statistical data analysis on digitalization of the population of the region, first of all in the sphere of professional education. On the basis of the mathematical model the algorithm of analytical processing of statistical data on monitoring of digital competences is developed.ЦСль исслСдования. ИсслСдованиС влияния систСмы ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ образования Π½Π° ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ‹ развития Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ экономики Π² Ρ€Π΅Π³ΠΈΠΎΠ½Π°Ρ… Π Π€ ΠΌΠΎΠ³ΡƒΡ‚ ΠΎΡΡƒΡ‰Π΅ΡΡ‚Π²Π»ΡΡ‚ΡŒΡΡ Π² Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… направлСниях: выявлСниС состояния систСмы ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ образования ΠΊΠ°ΠΊ института, ΠΎΠ±Π΅ΡΠΏΠ΅Ρ‡ΠΈΠ²Π°ΡŽΡ‰Π΅Π³ΠΎ чСловСчСскими рСсурсами Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΡƒΡŽ экономику Ρ€Π΅Π³ΠΈΠΎΠ½Π°; выявлСниС потрСбностСй ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… отраслСй экономики Π² спСциалистах, ΠΎΠ±Π»Π°Π΄Π°ΡŽΡ‰ΠΈΡ… ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠΌΠΈ компСтСнциями для Ρ€Π°Π±ΠΎΡ‚Ρ‹ Π² Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ экономикС. ЦСлью Π΄Π°Π½Π½ΠΎΠ³ΠΎ исслСдования являСтся обоснованиС матСматичСской ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰Π΅ΠΉ Π΄ΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΡΡ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ Π±Π°Π·ΠΎΠ²ΡƒΡŽ ΡΡ‚Π°Ρ‚ΠΈΡΡ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ Π²Ρ‹Π±ΠΎΡ€ΠΊΡƒ для ΠΎΡ†Π΅Π½ΠΊΠΈ ΡƒΡ€ΠΎΠ²Π½Π΅ΠΉ освоСния Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΉ прСподаватСлями ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… ΡƒΡ‡Ρ€Π΅ΠΆΠ΄Π΅Π½ΠΈΠΉ ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ образования.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ Π΄Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Π΅ прСдлагаСтся ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° оцСнивания, основанная Π½Π° мягких вычислСниях. Π”Π°Π½Π½Ρ‹ΠΉ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ позволяСт соотнСсти качСствСнный ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŒ освоСния Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΉ ΠΈ ΠΊΠΎΠ»ΠΈΡ‡Π΅ΡΡ‚Π²Π΅Π½Π½ΡƒΡŽ ΠΊΠ°Ρ‚Π΅Π³ΠΎΡ€ΠΈΡŽ, ΡΡ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ Π±Π°Π·ΠΎΠ²ΡƒΡŽ ΡΡ‚Π°Ρ‚ΠΈΡΡ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ Π²Ρ‹Π±ΠΎΡ€ΠΊΡƒ для Π°Π½Π°Π»ΠΈΠ·Π° ΠΊΠ°Π΄Ρ€ΠΎΠ²ΠΎΠ³ΠΎ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»Π° Π² сфСрС ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ образования ΠΈ ΠΎΡ†Π΅Π½ΠΊΠΈ развития Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΉ ΠΏΠΎ исслСдуСмой области. Для ΠΎΡ†Π΅Π½ΠΊΠΈ готовности ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ систСмы ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ образования ΠΎΡΡƒΡ‰Π΅ΡΡ‚Π²Π»ΡΡ‚ΡŒ ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½ΡƒΡŽ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ, Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½Π½ΡƒΡŽ Π½Π° обСспСчСниС развития Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ экономики Ρ€Π΅Π³ΠΈΠΎΠ½Π°, использован компСтСнтностный ΠΏΠΎΠ΄Ρ…ΠΎΠ΄. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ значСния ΡƒΡ€ΠΎΠ²Π½Π΅ΠΉ освоСния Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΉ Π°Π³Ρ€Π΅Π³ΠΈΡ€ΡƒΡŽΡ‚ΡΡ ΠΏΠΎ ΠΊΠ°ΠΆΠ΄ΠΎΠΌΡƒ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŽ лингвистичСской ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ Π² сводныС значСния, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΌΠΎΠ³ΡƒΡ‚ Π±Ρ‹Ρ‚ΡŒ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Π½Ρ‹ Π² качСствС Π±Π°Π·ΠΎΠ²ΠΎΠΉ статистичСской Π²Ρ‹Π±ΠΎΡ€ΠΊΠΈ.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. На основС Π΄Π°Π½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ статистичСский Π°Π½Π°Π»ΠΈΠ· Π΄Π°Π½Π½Ρ‹Ρ… ΠΎΠ± ΡƒΡ€ΠΎΠ²Π½Π΅ чСловСчСских рСсурсов Ρ€Π΅Π³ΠΈΠΎΠ½Π° Π² аспСктС сформированности Π·Π½Π°Π½ΠΈΠΉ ΠΈ ΡƒΠΌΠ΅Π½ΠΈΠΉ Π² сфСрС ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎ-ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½Ρ‹Ρ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ. Данная модСль ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ использования для ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΎ тСстировании Ρ€Π°Π·Π½Ρ‹Ρ… Π³Ρ€ΡƒΠΏΠΏ: пСдагогичСских Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊΠΎΠ², государствСнных ΠΈ ΠΌΡƒΠ½ΠΈΡ†ΠΈΠΏΠ°Π»ΡŒΠ½Ρ‹Ρ… слуТащих. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ позволят Π΄ΠΈΠ°Π³Π½ΠΎΡΡ‚ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ исходноС состояниС ΡƒΡ€ΠΎΠ²Π½Π΅ΠΉ освоСния Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΉ Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊΠΎΠ² отрасли Ρ€Π΅Π³ΠΈΠΎΠ½Π° ΠΈΠ»ΠΈ исслСдуСмой ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΈ ΠΎΡΡƒΡ‰Π΅ΡΡ‚Π²Π»ΡΡ‚ΡŒ ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³ развития чСловСчСских рСсурсов Ρ€Π΅Π³ΠΈΠΎΠ½Π° Π² Ρ€Π°ΠΌΠΊΠ°Ρ… ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π° «Цифровая экономика». БтатистичСски Π΄Π°Π½Π½Ρ‹Π΅, ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ Π½Π° основС ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ, Ρ…ΠΎΡ€ΠΎΡˆΠΎ ΠΈΠ½Ρ‚Π΅Ρ€ΠΏΡ€Π΅Ρ‚ΠΈΡ€ΡƒΡŽΡ‚ΡΡ с использованиСм стандартных графичСских срСдств (Π½Π°ΠΏΡ€ΠΈΠΌΠ΅Ρ€, Π³Ρ€Π°Ρ„ΠΈΠΊΠΎΠ² ΠΈ гистограмм).Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Разработанная матСматичСская модСль Π°ΠΏΡ€ΠΎΠ±ΠΈΡ€ΠΎΠ²Π°Π½Π° Π½Π° основС Ρ€Π΅Π°Π»ΡŒΠ½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ… ΠΈ принята Π² качСствС Π±Π°Π·ΠΎΠ²ΠΎΠΉ для ΠΎΡ†Π΅Π½ΠΊΠΈ уровня освоСния Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΉ ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ министСрством образования ΠΈ ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠ½ΠΎΠΉ ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠΈ Рязанской области. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Π°Ρ модСль ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ‚ свойством ΡƒΠ½ΠΈΠ²Π΅Ρ€ΡΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ ΠΈ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½Π° для получСния Π±Π°Π·ΠΎΠ²Ρ‹Ρ… статистичСских Π²Ρ‹Π±ΠΎΡ€ΠΎΠΊ уровня освоСния Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΉ Π² областях Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ сСктора экономики. Π”Π°Π»ΡŒΠ½Π΅ΠΉΡˆΠΈΠ΅ исслСдования планируСтся ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΡ‚ΡŒ Π² сфСрС Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†ΠΈΠΈ процСсса статистичСского Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½Ρ‹Ρ… ΠΏΠΎ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΈΠ·Π°Ρ†ΠΈΠΈ насСлСния Ρ€Π΅Π³ΠΈΠΎΠ½Π°, ΠΏΡ€Π΅ΠΆΠ΄Π΅ всСго Π² сфСрС ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ образования. На основС Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½ΠΎΠΉ матСматичСской ΠΌΠΎΠ΄Π΅Π»ΠΈ разрабатываСтся Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ аналитичСской ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ статистичСских Π΄Π°Π½Π½Ρ‹Ρ… ΠΏΠΎ ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Ρƒ Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΉ

    Mathematical model of the formation of the basic statistical sample for evaluating the level of the digital competence of lecturers

    Get PDF
    Purpose of the research. The research of influence of the system of professional education on parameters of development of digital economy in Russian Federation regions can be conducted in different directions: identification of the professional education system status as the institute, providing the digital economy of the region with human resources; to identify the needs of the separate industries of economy for the specialists, having the corresponding competences for the work in the field of the digital economy. The purpose of this research is justification of the mathematical model, allowing creating evidential basic statistical sampling for the evaluation of the levels of mastering digital competences by lecturers of educational institutions of professional education.Materials and methods. In this work the estimation methods, based on soft computing is offered. This approach allows correlating a quality indicator of mastering digital competences and quantitative category, to create basic statistical sampling for the analysis of personnel potential in the field of professional education and assessment of digital competences development in the explored area. The competence-based approach is used for the assessment of readiness of lecturers of the professional education system to carry out the professional activity, aimed at providing development of digital economy of the region. The received values of levels of mastering different digital competences are aggregated on each indicator of a linguistic variable in summary values, which can be used as basic statistical sampling.Results. On the basis of this model statistical analysis of the human resources of the region in the aspect of formation of knowledge and abilities in the field of information and computer technologies can be carried out. This model can be used for information processing about testing of different groups: pedagogical employees, public and municipal officers. The results will allow to diagnose an initial status of levels of mastering digital competences of the employees of the regional industry or the studied organization and to carry out monitoring of development of human resources of the region within the Digital Economy project. Statistically the data obtained on the basis of the offered model are well interpreted with the use of standard graphic means (for example, diagrams and histograms).Conclusion. The developed mathematical model is tested on the basis of real data and accepted as the basic one for evaluating the level of mastering digital competences of lecturers by the Ministry of Education and Youth Policy of the Ryazan region. The offered model has characteristic of universality and can be applied to receive basic statistical samplings of the level of mastering digital competences of areas of the real sector of economy. Further researches are planned to be conducted in the sphere of automation of process of the statistical data analysis on digitalization of the population of the region, first of all in the sphere of professional education. On the basis of the mathematical model the algorithm of analytical processing of statistical data on monitoring of digital competences is developed
    corecore