The study deals with the problem of the effectiveness of digital technologies use in the civic and patriotic education of students. The relevance of the identified problem in the current conditions of social development is stated. The events of recent years show how important it is to solve the problems of civic and patriotic education of young people promptly. The implementation of the tasks of forming a citizen and a patriot should be carried out at all levels of the education system. The astudy analyzes the available material on digital support of the education system such as 3D games, teletandem, podcasts, social networks, video resources, and other innovative technologies for implementing e-learning. The methods and results of an empirical study are presented to assess the level of civic and patriotic development of student personality and to analyze the possibilities of using digital technologies in this respect. The digital technologies that can be used to solve the problem are described: a systematized bank of digital tools, the control and evaluation component and the activity component. The authors analyze their electronic educational resources. Conclusions are drawn about the effectiveness of the use of digital tools in the civic and patriotic education of students. It is stated that the modern approach to the civil-patriotic education of students involves the use of new technologies that meet their interests and preferences. Digital technologies have considerable didactic opportunities and their potential requires wide application in the educational process of the university.
This article presents the first stage of an ongoing effort of creating the application Ontology-Based Text Analyser (OTA) aimed at automatically identifying semantics and grammatical properties of widely used Russian words in connected texts. At present this application identifies only morphological properties of Russian words. In this application all morphological properties of content words and grammatical function words are revealed on the basis of a query to the Ontology of Russian Grammatical Forms (OntoRuGrammaForm) that we set up earlier. In OntoRuGrammaForm we used LexInfo 1 which represents morphological properties of words in the ontological format as a scheme for data organising. To set up OntoRuGrammaForm the existing LexInfo ontology was extended with missing and refined grammatical categories. In OntoRuGrammaForm the linkage of semantics with morphological properties is implemented with OntoLex 2 which makes it possible to link grammatical word forms with lemmas and lemmas with concepts in knowledge area ontologies. The automatic process of word morphology identification is illustrated with a connected text of the informative type taken from the open news online-portal. In this news text the system of morphological properties of words is identified with OntoRuGrammaForm. This application also displays lemmas and transcription of separate words in a connected text. The created application (OTA) can be used as an innovative methodical tool in teaching Russian to foreign students to develop skills of identifying morphological characteristics of words in texts. At present this application is available on the Web in open access and can be used for analysing morphological properties of widely used Russian words in a connected text.
This paper is devoted to a language game with precedent phenomena. By precedent phenomena the authors mean well-known texts, easily recognized and reproduced in the minds of native speakers. This paper describes precedent phenomena of a phraseological level such as set expressions, idioms, proverbs. These elements are often transformed to draw the addressee's attention and serve as the basis for creating a language game. A language game refers to the intentional breach of habitual use of words and set expressions which demonstrates the author's creative ability to deviate from the normative and stereotypical use. The purpose of this deviation is to express the additional denotative and connotative meanings.The materials of the research include texts of modern fictional prose, mass media and advertisements. The methods of contextual, semantic and structural analysis were used to discover the types of precedent phenomena transformation. The main types of precedent phenomena transformations include the following: 1) change of size of a precedent phenomenon; 2) change of structure of a precedent phenomenon; 3) formation based on an analogy, according to a commonly known model; 4) transformation of elements of set expressions without replacing them; 5) transformation of meaning based on polysemy and homonymy of elements.The given types of transformation specify and specialize semantically the original set expressions, proverbs, phraseological units to fit them into a certain situation. It is the author's individual interpretation that the transformed set expressions, phraseological units and proverbs acquire emotional-evaluative connotations, produce additional influence effects on the reader and convey a wide range of emotions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.