Cover not available
Article published In:
Dialogic Matters: Interrelating Dialogue, the Material, and Social Change
Edited by Theresa Castor
[Language and Dialogue 11:1] 2021
► pp. 151–170

Dialogue between smart education and classical education

| Peoples’ Friendship University of Russia (RUDN University), Russian Federation
| Peoples’ Friendship University of Russia (RUDN University), Russian Federation
Paradigmatic changes in education arise as a result of the emergence of a fundamentally new reality in society. Society has predicted this new reality through the concepts of post-industrial society, information society, knowledge society. The basis of this new reality is the development of information technologies (IT). These transformations of reality are taking place so rapidly that the institute of education has not had the time to realign itself in this new space and has been late in its development of new breakthroughs in the field of artificial intelligence. The purpose of the study is to show the fundamental paradigmatic differences between classical education and smart education, and to build a bridge of dialogue between these two paradigms.
Keywords: smart education, traditional education, IT technology, big data
Article outline
  • 1.Introduction
  • 2.Methodology
  • 3.Result/findings
  • 4.Discussion
  • 5.Conclusion
  • References
Published online: 22 April 2021
DOI logo
https://doi.org/10.1075/ld.00088.sha
References (24)
References
Alassery, Fawaz. 2019. “A Smart Classroom of Wireless Sensor Networks for Students Time Attendance System.” In 9th IEEE Integrated STEM Education Conference (ISEC), pp. 324–331. IEEE. DOI logoGoogle Scholar
Bhat, Anmol, Aneesh C. Rao, Anirudh Bhaskar, V. Adithya, and D. Pratiba. 2018. “A Cost-Effective Audio-Visual Summarizer for Summarization of Presentations and Seminars.” In 2018 3rd International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS), pp. 271–276. IEEE. DOI logoGoogle Scholar
Chou, Pao-Nan. 2018. “Smart Technology for Sustainable Curriculum: Using Drone to Support Young Students’ Learning.” Sustainability 10(10): 3819. DOI logoGoogle Scholar
Comenius, Jan A., John Locke, Jean-Jacques Russo, Johann Pestalozzi. 1989. Pedagogical Heritage. Moscow: Pedagogy.Google Scholar
Compernolle, Theo. 2018. Ontketen je brein. Hoe hyperconnectiviteit en multitasking je hersenen gijzelen en hoe je eraan kunt ontsnappen [The brain is liberated. How to prevent congestion and use your full potential]. 3rd edition. Lannoo: Alpina Publisher. [URL] [Accessed December 10, 2019]
Dezhina, I. G. and Klyucharyov, G. A. 2018. “Russian education for an innovative economy: ‘pain points’.” Sotsiologicheskie Issledovaniia 91: 40–48. DOI logoGoogle Scholar
Diehl, Michael and Wolfgang Stroebe. 1987. “Productivity Loss in Brainstorming Groups: Toward the Solution of a Riddle.” Journal of Personality and Social Psychology 53(3): 497–509. DOI logoGoogle Scholar
Fasihuddin, Heba, Shatha Alsolami, Seham Alzahrani, Rawan Alasiri, and Afnan Sahloli. 2018. “Smart Tutoring System for Arabic Sign Language Using Leap Motion Controller.” In 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE), pp. 1–5. IEEE. DOI logoGoogle Scholar
Fakoor, Rasool, Amanjit Kainth, Siamak Shakeri, Christopher Winestock, Abdel-rahman Mohamed, and Ruhi Sarikaya. 2018. “Direct optimization of f-measure for retrieval-based personal question answering.” In 2018 IEEE Spoken Language Technology Workshop (SLT), pp. 815–822. IEEE. DOI logoGoogle Scholar
Greenfield, Patricia M. 1984. Mind and Media: The Effects of Television, Video Games and Computers. Massachusetts: Harvard University Press. Cambridge.Google Scholar
Haupt, Michael. 2017. “What is a Smart Society? Toward the transcendent model society of 2030.” [URL] [Accessed December 10, 2019]
Kim, Min Kyu, Cassandra J. Gaul, So Mi Kim, and Reeny J. Madathany. 2019. “Advance in Detecting Key Concepts as an Expert Model: Using Student Mental Model Analyzer for Research and Teaching (SMART).” Technology, Knowledge and Learning: 1–24.Google Scholar
Kirschner, Paul A. and Aryn C. Karpinski. 2010. “Facebook® and Academic Performance.” Computers in Human Behavior 26(6): 1237–1245. DOI logoGoogle Scholar
Lee, Chien-Sing and K. Daniel Wong. 2018. “Design-computational thinking, transfer and flavors of reuse: Scaffolds to Information and Data Science for sustainable systems in Smart Cities.” In 2018 IEEE International Conference on Information Reuse and Integration (IRI), pp. 225–228. IEEE. DOI logoGoogle Scholar
Newman, Daniel. 2017. “Top 6 Digital Transformation Trends In Education”. [URL] [Accessed December 17, 2019].
Nirmala, Junko. 2016. “Super Smart Society: Society 5.0.” [URL]
Popov, Dmitry. 2011. “The Virtual University. For a definition of the terms.” In Virtualization of Inter-University and Academic Communication: Methods, Structure, Communities. Society of Professional Sociologists, Moscow, 8–14.Google Scholar
Sahin, Nurullah and Mehmet Fatih Ozcan. 2019. “Effects of Augmented Reality in Teaching Old Turkish Language Mementoes on Student Achievement and Motivation.” Contemporary Educational Technology 10(2): 198–213. DOI logoGoogle Scholar
Slavin, B. B. 2020. “XXI century – sunset of universities”. [URL] [Accessed March 17, 2020].
The SmartSociety project is supported by the European Commission, in the area “FET Proactive: Fundamentals of Collective Adaptive Systems” (FOCAS) (ICT-2011.9.10), as a Collaborative Project (generic), under the 7th Framework programme, Grant agreement n. 600854. 2016. [URL] [Accessed December 17, 2019].
Voyskunsky, A. E., Ermolova, T. D., Khromova, V. M., and Yagolkovsky, S. R. 2016. “Individual and group (in diads) solving design problems in a computer environment: a comparative analysis”. In Digital society as a cultural and historical context of human development, ed. by R. V. Ershova, 68–72. Kolomna: State Social and Humanitarian University.Google Scholar
Warner, J. 2017. “What Happens If Higher Ed Collapses?” Inside Highered. [URL] [Accessed March 17, 2020].
Weigand, Edda. 2019. “Dialogue and Artificial Intelligence.” Language and Dialogue 9(2): 294–315. DOI logoGoogle Scholar
Zborovsky, Garold E. 2018. “Is It Possible to be Together, Being Apart: Students and Teachers at the University.” Sotsiologicheskie issledovaniya 91: 49–58. DOI logoGoogle Scholar
Cited by (4)

Cited by four other publications

Arora, Shikha
2024. Beyond Boundaries. In Applications, Challenges, and the Future of ChatGPT [Advances in Computational Intelligence and Robotics, ], ► pp. 156 ff. DOI logo
Guo, Zhirong & Saeed Hameed Aldulaimi
2023. Response Model of Teachers’ Psychological Education in Colleges and Universities Based on Nonlinear Finite Element Equations. Applied Mathematics and Nonlinear Sciences 8:1 ► pp. 551 ff. DOI logo
Castor, Theresa R.
2021. Dialogic matters. Language and Dialogue 11:1 ► pp. 1 ff. DOI logo
Chung, Myung-Sill & GyeongAe Seomun
2021. Health Issues with Learning to Use Smart Devices in the Digital Age: Using a Grounded Theory Approach. International Journal of Environmental Research and Public Health 18:13 ► pp. 7062 ff. DOI logo

This list is based on CrossRef data as of 5 july 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.