nach oben

Tipp

The Development of Intelligent Educational Content

verfasst von: V. G. Mokrozub, N. V. Molotkova, E. S. Mishchenko, K. A. Aleynikova

Erschienen in: Automatic Documentation and Mathematical Linguistics | Ausgabe 2/2022

Einloggen, um Zugang zu erhalten

Abstract—

The structure of computer-aided design systems based on the ontology of the subject area is considered in this paper using the example of training in the design of technical objects, which can be used both by a person for training and by an information system for solving practical design problems. The term computer-aided design training system is instantiated as a real industrial system supplemented with learning elements.

Nächster Artikel The Place and Role of Lexicographic Support in Information Retrieval Using Hierarchical Classifications

Digital Economy of the Russian Federation. https://digital. gov.ru/ru/activity/directions/858/.

“Personnel for the Digital Economy.” https://digital.gov.ru/ ru/activity/directions/866/.

On approval of the plan for the implementation of the Strategy for the Development of the Chemical and Petrochemical Complex for the Period up to 2030. http://government.ru/docs/23136/.

Overview of popular computer-aided design (CAD) systems. https://www.pointcad.ru/novosti/obzor-sistem-avtomatizirovannogo-proektirovaniya.

Solovyev, A.N., Prikhodko, V.M., Polyakova, T.Yu., and Sazonova, Z.S., Russian engineering teachers as an important part of IGIP, Vyssh. Obraz. Ross., 2018, no. 1, pp. 38–45.

Rudskoy, A.I., Borovkov, A.I., Romanov, P.I., and Kolosova, O.V., Ways to reduce risks when building the digital economy in Russia, Vyssh. Obraz. Ross., 2019, vol. 28, no. 2, pp. 9–22. https://doi.org/10.31992/0869-3617-2019-28-2-9-22 CrossRef

Dneprovskaya, N.V., Assessment of the readiness of the Russian higher education for the digital economy, Stat. Ekon., 2018, vol. 15, no. 4, pp. 16–28. https://doi.org/10.21686/2500-3925-2018-4-16-28 CrossRef

Pozdneev, B., Dusina, F., and Ivannikov, A., Smart university management based on process approach and it-standards, Smart Education and e-Learning, Uskov, V., Howlett, R., and Jain, L., Eds., Smart Innovation, Systems and Technologies, vol. 59 (Springer, Cham, 2016), pp. 73–82. https://doi.org/10.1007/978-3-319-39690-3_7

Pozdneev, B., Tolok, A., Ovchinnikov, P., Levchenko, A., and Sharovatov, V., Digital transformation of learning processes and the development of competencies in the virtual machine-building enterprise environment, J. Phys.: Conf. Ser., 2019, vol. 1278, p. 012008. https://doi.org/10.1088/1742-6596/1278/1/012008 CrossRef

Rakitov, A.I., Higher education and artificial intelligence: Euphoria and alarmism, Vyssh. Obraz. Ross., 2018, vol. 27, no. 6, pp. 41–49.

Noskova, T.N., Pavlova, T.B., and Yakovleva, O.V., Pedagogical activity tools in electronic environment, Vyssh. Obraz. Ross., 2017, nos. 8–9, pp. 121–130.

De-Marcos, L., Garcia-Lopez, E., and Garcia-Cabot, A., On the effectiveness of game-like and social approaches in learning: comparing educational gaming, gamification & social networking, Comput. Educ., 2016, vol. 95, pp. 99–113. https://doi.org/10.1016/j.compedu.2015.12.008 CrossRef

Yamada, T., New component technologies and development strategies of e-learning in MOOC and post-MOOC eras, Genetic and Evolutionary Computing, Zin, T., Lin, J.W., Pan, J.S., Tin, P., and Yokota, M., Eds., Advances in Intelligent Systems and Computing, vol. 388 (Springer, Cham, 2015), pp. 387–394. https://doi.org/10.1007/978-3-319-23207-2_39

10.

Savitskaya, T.V., Egorov, A.F., Mikhaylova, P.G., and Dementienko, A.V., Multilevel training of chemists and technologists in the interdisciplinary training system using distance educational technologies, IV Int. Conf. on Information Technologies in Engineering Education (Inforino), Moscow, 2018 (IEEE, 2018), pp. 1–5. https://doi.org/10.1109/INFORINO.2018.8581753

11.

Morshchilov, M.V., Petrova, L.G., and Prikhod’ko, V.M., Information technologies in engineering education, application features in Russia, Avtomobil’. Doroga. Infrastruktura, 2018, no. 2, p. 13.

12.

Dudyrev, F.F. and Maksimenkova, O.V., Training simulators in vocational education: Pedagogical and technological aspects, Vopr. Obraz., 2020, no. 3, pp. 255–276. https://doi.org/10.17323/1814-9545-2020-3-255-276

13.

Nemtinov, V.A., Manaenkov, I.M., and Nemtinova, Yu.V., Creation of a virtual technology laboratory and organization of training for highly qualified personnel, Vyssh. Obraz. Ross., 2020, vol. 29, no. 2, pp. 159–168. https://doi.org/10.31992/0869-3617-2020-29-2-159-168 CrossRef

14.

Mokrozub, V.G., Design of virtual room “Construction of technological equipment” in Tambov State Technical University, SAPR Grafika, 2015, no. 1, pp. 38–39.

15.

Nemtinov, V.A., Borisenko, A.B., Morozov, V.V., and Nemtinova, Yu.V., Increasing the level of professional competence using a virtual educational environment, Vyssh. Obraz. Ross., 2021, vol. 30, no. 3, pp. 104–113. https://doi.org/10.31992/0869-3617-2021-30-3-104-113 CrossRef

16.

Tikhomirov, G., Saldikov, I., Malikova, E., Kuchenkova, L., and Pilyugin, V., NRNU MEPhI experience in development and application of visualization software in nuclear power plants education, Nauchn. Vizualizatsiya, 2012, vol. 4, no. 2, pp. 57–63.

17.

Kowalik, D. and Rusyn, B., Innovative vocational didactics aimed at the preparation of staff according to Industry 4.0 and Europe 2020, 4th Int. Conf. on Education Reform and Modern Management (ERMM 2017), pp. 12–17.

18.

Smorkalov, A., Morozov, M., Fominykh, M., and Prasolova-Forland, E., Virtualizing real-life lectures with vAcademia, Kinect, and iPad, HCI International 2014 – Posters’ Extended Abstracts. HCI 2014, Stephanidis, C., Ed., Communications in Computer and Information Science, vol. 435 (Springer, Cham, 2014), pp. 156–161. https://doi.org/10.1007/978-3-319-07854-0_28

19.

Volokitin, Yu.I., Grinko, O.V., Kupriyanovsky, V.P., Korzun, A.V., Almazov, A.A., Pokusaev, O.N., and Zhabitskii, M.G., Digital twins of knowledge and ontologies for higher technology education, Int. J. Open Inf. Technol., 2021, vol. 9, no. 1, pp. 128–144.

20.

Kleshchev, A.S. and Shalfeeva, E.A., Classification of properties of ontology: Ontologies and their classification, Preprint of Inst. of Automation and Control Processes, Far East Branch, Russ. Acad. Sci., Vladivostok, 2005.

21.

Egorov, A.F., Savitskaya, T.V., and Mikhailova, P.G., The current state of analysis, synthesis, and optimal functioning of multiproduct digital chemical plants: Analytical review, Theor. Found. Chem. Eng., 2021, vol. 55, pp. 225–252. https://doi.org/10.31857/S0040357121010061 CrossRef

Titel: The Development of Intelligent Educational Content
verfasst von: V. G. Mokrozub
N. V. Molotkova
E. S. Mishchenko
K. A. Aleynikova
Publikationsdatum: 01.04.2022
Verlag: Pleiades Publishing
Erschienen in: Automatic Documentation and Mathematical Linguistics / Ausgabe 2/2022
Print ISSN: 0005-1055
Elektronische ISSN: 1934-8371
DOI: https://doi.org/10.3103/S0005105522020042

Springer Professional

Tipp

Weitere Artikel dieser Ausgabe durch Wischen aufrufen

The Development of Intelligent Educational Content

Abstract—

Premium Partner

Springer Professional

Tipp

Weitere Artikel dieser Ausgabe durch Wischen aufrufen

Abstract—

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 2/2022

Assessment of Applicability of Discrete Situational Networks for Information Transmission in Intelligent Transport Networks

JSM Reasoning and Knowledge Discovery: Ampliative Reasoning, Causality Recognition, and Three Kinds of Completeness#

The Place and Role of Lexicographic Support in Information Retrieval Using Hierarchical Classifications

Loss of Scientific Knowledge As a Consequence of Publication Requirements

Premium Partner