Abstract
The intensive digital technologies’ penetration leads to significant changes in various fields of human activity, including the university background transformation. The Internet development’s new stage and up-to-date information technologies have contributed to the emergence of new educational institutions development tools served for smart education and e-learning. Some approaches to a meta-model design for the educational institution knowledge-base as well as the experience of its implementation in a digital university have been presented in the article.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abrosimov, V.K., Yablonsky, V.B.: Intellectual methods in the management of education: problems and prospects. Intell. Syst. 11(1–4), 21–54 (2007)
Shikhnabieva, T.: Model representation of a knowledge base in a digital university. Informatization Educ. Sci. 4(40), 54–60 (2018)
Shikhnabieva, T.Sh.: Methodological foundations for the representation and control of knowledge in the field of computer science using adaptive semantic models. Dissertation of a doctor of pedagogical sciences, p. 270. Moscow (2009)
Aksenov, A.N.: Improving the educational process management system of the university based on the process approach and quality management system. Young Sci. 6, 669–671 (2013). https://moluch.ru/archive/53/7178/
Uskov, V.L., Ivannikov, A.D., Uskov, A.V.: Promising Technologies for e-Education. Inf. Technol. Moscow. 2, 32–38 (2007)
Uskov, V.L., Uskov, A.V. Web-based education: 2006–2010 perspectives. Int. J. Adv. Technol. Learn. 3(3), 1–149 (2006)
Uskov, V.L., Ivannikov, A.D., Uskov, A.V.: The quality of e-education. Inf. Technol. (3), 36–43 (2007). ISSN 1684-6400
Uskov, V.L., Uskov, A.V. Promising technologies for corporate educational networks. In: Proceedings of the 4th International Scientific-Methodological Conference, pp. 341–344. New educational technologies in the university, Yekaterinburg (2007)
Robert, I.: Implementation of the internet for educational purposes. Smart education and e-Learning. In: Uskov, V.L., Howlett, R.J., Jain, L.C. (eds.) Springer. Smart Innovation, Systems and Technologies, vol. 59 (2016)
Sklyamina, M.Y.: Ensuring information security of students in the general education system. Young Sci. 6.4, 52–55 (2015). https://moluch.ru/archive/86/16381/
Kharlamova, E.E.: Modern approaches to assessing the effectiveness of the educational organization of higher professional education. Int. J. Exp. Educ. (8–1), 90–91 (2014). http://expeducation.ru/ru/article/view?id=5809
Universities of the future. http://engtopic.ru/misc/universities-of-the-future
Digital-university-the-future-of-education-will-be-personalized. https://www.cognizant. com/perspectives/
Roberts, P.: Higher education curriculum orientations and the implications for institutional curriculum change. Teach. High. Educ. 20(5), 542–555 (2015)
Barnett, R.: Knowing and becoming in the higher education curriculum. Crit. Engagem. Res. High. Educ. 34(4), 429–440 (2009)
Anohina-Naumeca, A., Grundspenkis, J.: Concept maps as a tool for extended support of intelligent knowledge assessment. In: Proceedings of the 5th International Conference on Concept Mapping: 5th International Conference on Concept Mapping, pp. 57–60 (2012)
Anohina-Naumeca, A., Graudina, V., Grundspenkis, J.: Using concept maps in adaptive knowledge assessment. In: Advances in Information Systems Development: New Methods and Practice for the Networked Society. vol. 1, pp. 469–480. Springer, New York (2007)
Grundspenkis, J.: Concept Map Based Intelligent Knowledge Assessment System: Experience of Development and Practical Use. No: Multiple Perspectives on Problem Solving and Learning in the Digital Age, pp. 179–198. Springer Science + Business Media, LLC, New York, Dordrecht, Heidelberg, London (2011)
Shikhnabieva, T., Ramazanova, I.M., Ahmedov, O.K.: The use of intelligent methods and models to improve educational information systems. Monitoring. Science and Technologies. (2), 72–77 (2015)
Shikhnabieva, T., Beshenkov, S.: Intelligent system of training and control of knowledge, based on adaptive semantic models. smart education and e-learning. In: Uskov, V.L., Howlett, R.J., Jain, L.C.. (eds.) Smart Innovation, Systems and Technologies. 2016, vol. 59. pp. 595–603. Springer (2016). (*Web of Science, Scopus). http://link.springer.com/chapter/10.1007/978-3-319-39690-3_53
Shikhnabieva, T., Brezhnev, A., Saidakhmedova, M., Brezhneva, A., Khachaturova, S.: Intellectualisation of educational information systems based on adaptive semantic models. In: 4rd International KES Conference on Smart Education and E-learning SEEL-2018, 20–22 June 2018, pp. 84–93. Gold Coast, Australia
Shikhnabieva, T.: Comparative characteristics of the main models of knowledge representation in intellectual systems of learning and knowledge control. Monit. Sci. Technol. 2(35), 61–64 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Shikhnabieva, T. (2020). Knowledge-Based Model Representation for a Modern Digital University. In: Uskov, V., Howlett, R., Jain, L. (eds) Smart Education and e-Learning 2020. Smart Innovation, Systems and Technologies, vol 188. Springer, Singapore. https://doi.org/10.1007/978-981-15-5584-8_5
Download citation
DOI: https://doi.org/10.1007/978-981-15-5584-8_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5583-1
Online ISBN: 978-981-15-5584-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)