Parámetros de modelar la compatibilidad semántica de la información educativa
Palabras clave:
Compatibilidad semántica de la información educativa; parámetros de compatibilidad de información educativa; modelado; dicotomía; Acercamiento sistematico; medida del tesauro de un texto educativo.Resumen
Este estudio exploró el proceso de selección de parámetros, que precede al desarrollo de un modelo informático para analizar textos educativos en términos de compatibilidad semántica de la información incluida en ellos. Para analizar el conjunto seleccionado de dicotomías, uno debe resolver varios problemas específicos aplicados utilizando los métodos de modelado matemático. Una de estas tareas es la creación de herramientas automatizadas para identificar algunos aspectos de compatibilidad de la información en textos educativos. Los autores utilizaron la versión dicotómica del enfoque del sistema para identificar los pares de opuestos en el concepto de "información educativa", con el posterior análisis de contenido e interpretación de las características de este objeto multidimensional y complejo. Las dicotomías identificadas se utilizaron para corroborar un conjunto de parámetros de acuerdo con la compatibilidad de la información educativa ingresada en los programas de computadora para el análisis y procesamiento de textos educativos. El objetivo era mejorar la percepción y la adquisición de conocimiento científico dominado por los estudiantes. Los parámetros seleccionados demuestran el papel del tesauro y su distribución en el material y consideran el componente inconsciente de la psique. Al analizar las características estructurales representadas en un sistema de signos, es posible utilizar el conjunto de indicadores considerado para evaluar la compatibilidad del contenido semántico de los textos.
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Rybakova, G.R. (2017). Computer model of information compatibility “LingFreq“. Certificate on state registration of a computer program No. 2017662370, November 7, 2017.
Rybakova, G.R., Krotova, I.V., Kamoza, T.L. (2015). Modeling of educational information compatibility: methodological approaches. Humanitarian Vector, 1(41), pp. 24-34.
Sagatovsky, V.N. (1973). Fundamentals of the Systematization of Universal Categories. Tomsk: TMI Publishing House.
Shannon, K. (1963). The mathematical theory of communication. In Works on the Theory of Information and Cybernetics. Moscow, Foreign Literature Publishing House.
Shmelev, D.N. (1973). Problems of Semantic Analysis of Vocabulary. Moscow: Nauka.
Sonesson, G. (2003). Three scenarios for globalization. A view from cultural semiotics. Logic, dialogic, ideological. I segni tra funzionalita ed eccedenza. Milano.
Tsyganov, A.V. (2010). Innovative approaches in the educational process modeling. Bulletin of the Russian State Pedagogical University, 136, pp. 136-143.
Ugrinovich, N. (2017). Informatics and Information Technology. Moscow: BINOM.
Uvarov, M. (1996). Binary Archetype. The Evolution of the Idea of Antinomism in the History of European Philosophy and Culture. St. Petersburg: BSTU Publishing House.
Vasilieva, N.O., Krotova, I.V. (2014). Optimization of educational information compatibility. System-parametric version. Saarbrucken: LAP LAMBERT Academic Publishing.
Zakharova, O.A. et al. (2010). Methodological Foundations of the Application of Information and Communication Technologies for the Development of Intellectual Characteristics of Students. Rostov-on-Don: DSTU Publishing Center.
Apresyan, Yu.D. (1995). Lexical semantics (synonymous means of language). In Selected Works, I. Moscow: Vostochnaya Literatura, RAS.
Barakhsanova, E.A. Nikiforov, I.I. (2018). Development of information competence of future teachers in a digital educational environment. Problems of Modern Teacher Training, 61(2), pp. 61-64.
Barakhsanova, E.A., Prokopyev, M.S., Nikolaeva, A.D., Panina, S.V., Vlasova, E.Z., Golikov, A.I. (2017). International integration movement in quality management of Russian education. Sociacion de Profesionales y Tecnicos del CONICIT, 38, pp. 55.
Dakhin, A.N. (2012) Pedagogical modeling: essence, efficiency and ... uncertainty. Issues of Internet Education, 6, pp. 22-26.
Delimova, Yu.O. (2013). Modeling in pedagogy and didactics. Bulletin of Shadrinsk State Pedagogical Institute, 3(19), pp. 33-38.
Hammond, D. (2003). The Science of Synthesis. Colorado: Univ. press of Colorado.
Harmer, J. (2001). The practice of English language teaching. London.
Kamoza, T.L. Klochkov, V.P., Glotova, M.V. (2005). Compatibility of topological connections in educational texts. Scientific Notes, 3, pp. 50-59.
Karaulov, Yu.N. (1981). Linguistic construction and thesaurus of a literary language. Moscow: Nauka Publishing House.
Klochkov, V P. (2003). The Unconscious: A Search for Conceptual Foundations. Krasnoyarsk: Tverdynya.
Klochkov, V P., Krotova, I.V., Malkova, T.V. (2018). Dichotomous aspects of natural science knowledge (based on scientific and educational texts): Monograph. Chelyabinsk: Chelyabinsk State University.
Klochkov, V.P. (1999). Optimization of Text Compatibility for a Basic Set of University Textbooks: Dissertation of a Doctor of Pedagogical Sciences 13.00.01 – General Pedagogy, History of Pedagogy and Education. Tomsk.
Klochkov, V.P. Vasilieva, N.O. (2011). Program-targeted analysis of text compatibility of textbooks for economics university majors (Dichotomous aspect). Omsk: “Ekonomicheskoye obrazovaniye” Publishing House.
Klochkov, V.P., Barakhsanova, E.A., Krotova, I.V., Rybakova, G.R., Malkova, T.V. (2019). Indicadores dicotómicos del modelado de compatibilidad de información educativa. Revista Dilemas Contemporáneos: Educación, Política y Valores: Edición Especial, VI. México, 11.
Klochkov, V.P., Petrova, A.T. (2005). Methodical Aspects of Management of Life Quality of Population. Krasnoyarsk: Siberian Federal University.
Klochkov, V.P., Rybakova, G.R. (2012). Methodology and methods of modeling the compatibility of educational information. Krasnoyarsk: PC Policorm.
Klochkov, V.P., Zaitsev, A.V. (2013). Scientific background for the emergence of an interdisciplinary dichotomous approach. Theory and Practice of Social Development, 8, pp. 353-356.
Klochkov, V.P., Zaitsev, ?.V. (2013a). Analyse der Steuerung der regionalen Forst-und Holzwirtschaft. Saarbrucken, Deutschland: AV Akademikeverlag GmbH & Co. KG.
Kobozeva, I.M. (2004). Linguistic Semantics. Moscow: Editorial URSS.
Kudzh, S.A., Tsvetkov, V.Ya. (2018) Factors of cognitive complexity. Information Technologies in Science, Education and Management (ITNOU), 6, pp. 34-41.
Levin, K. (1980). Definition of the concept of “the field at the moment”. In A Reading Book on the History of Psychology: A Period of Open Crisis: the Early 10s–Mid 30s of the 20th Century. Moscow: Moscow University.
Lodatko, EA. (2010). Modeling of Pedagogical Systems and Processes: Monograph. Slavyansk: Chuvash Regional Branch of the Academy of Informatization of Education.
Logvinov, I.I. (1980). Simulation of Curricula. Moscow: Pedagogika.
Mandelbort, B. (1976). An informational theory of statistical structure of language. Communication Theory, 4, pp. 486-502.
Mayer, R.V. (2018). Understanding textual information: Computer modeling. Distance and Online Learning, 1(121), pp. 40-46.
Mikhalyov, A.B. (1995). Theory of the phonosemantic field. Pyatigorsk: Pyatigorsk State Linguistic University.
Morgunov, I.B. (2007). Optimization of some ordering problems (on the example of ordering educational material). Moscow: Research Center for the Problems of Specialists Training Quality.
Moskovich, V.A. (1969). Statistics and Semantics (Practice of Statistical Analysis of the Semantic Field). Moscow: Nauka.
Ohmae, K. (2005). The Next Global Stage: Challenges and Opportunities in our borderless world. New Jersey: Pearson Education.
Posner, M.I., McLeod, P. (1982). Information processing models – in search of elementary operations. Annu. Revue Psychology, 33, pp. 477-514.
Rybakova, G.R. (2017). Computer model of information compatibility “LingFreq“. Certificate on state registration of a computer program No. 2017662370, November 7, 2017.
Rybakova, G.R., Krotova, I.V., Kamoza, T.L. (2015). Modeling of educational information compatibility: methodological approaches. Humanitarian Vector, 1(41), pp. 24-34.
Sagatovsky, V.N. (1973). Fundamentals of the Systematization of Universal Categories. Tomsk: TMI Publishing House.
Shannon, K. (1963). The mathematical theory of communication. In Works on the Theory of Information and Cybernetics. Moscow, Foreign Literature Publishing House.
Shmelev, D.N. (1973). Problems of Semantic Analysis of Vocabulary. Moscow: Nauka.
Sonesson, G. (2003). Three scenarios for globalization. A view from cultural semiotics. Logic, dialogic, ideological. I segni tra funzionalita ed eccedenza. Milano.
Tsyganov, A.V. (2010). Innovative approaches in the educational process modeling. Bulletin of the Russian State Pedagogical University, 136, pp. 136-143.
Ugrinovich, N. (2017). Informatics and Information Technology. Moscow: BINOM.
Uvarov, M. (1996). Binary Archetype. The Evolution of the Idea of Antinomism in the History of European Philosophy and Culture. St. Petersburg: BSTU Publishing House.
Vasilieva, N.O., Krotova, I.V. (2014). Optimization of educational information compatibility. System-parametric version. Saarbrucken: LAP LAMBERT Academic Publishing.
Zakharova, O.A. et al. (2010). Methodological Foundations of the Application of Information and Communication Technologies for the Development of Intellectual Characteristics of Students. Rostov-on-Don: DSTU Publishing Center.
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Publicado
2019-10-11
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Klochkov, V. P., Rybakova, G. R., Vasileva, N. O., Malkova, T. V., & Krotova, I. V. (2019). Parámetros de modelar la compatibilidad semántica de la información educativa. Amazonia Investiga, 8(23), 506–516. Recuperado a partir de https://amazoniainvestiga.info/index.php/amazonia/article/view/897
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