Original article
doi: 10.15293/1812-9463.2104.03
THE CONCEPT OF USING ARTIFICIAL INTELLIGENCE IN DISTANCE LEARNING
Kamenev Roman Vladimirovich
Novosibirsk State Pedagogical University, Novosibirsk. ORCID ID: https://orcid.org/0000-0002-9367-3997 E-mail: romank54.55@gmail.com
Klassov Aleksandr Borisovich
Novosibirsk State Pedagogical University, Novosibirsk. ORCID ID: https://orcid.org/0000-0002-6218-1877 E-mail: alklas@mail.ru
Krasheninnikov Valeriy Vasilyevich
Novosibirsk State Pedagogical University. ORCID ID: https://orcid.org/0000-0001-6470-8145 E-mail: vkrash48@mail.ru
The article presents an analysis of possible directions of using artificial intelligence in education. It is shown that artificial intelligence in modern distance education contributes to its further development in the direction of modernization and has a significant impact, especially on the modern distance learning system. The requirements for artificial intelligence on the part of education and the negative consequences of the use of artificial intelligence and problems that may affect the quality of education are analyzed. The possible directions of work in terms of the development of artificial intelligence related to the development of knowledge representation models, the creation of knowledge bases forming the core of the expert system are considered. Attention is drawn to the fact that an intelligent learning system should be able to perform various functions of a teacher (to help in the process of solving problems, to determine the cause of students’ mistakes, to choose the optimal educational impact) almost as intelligently as a person does. Attention is also paid to such a direction as the use of intelligent chat-bots or conversational agents and their applications.
Keywords: artificial intelligence, distance learning, expert system, intelligent chatbot, digital educational environment, e-learning, digital education.
Funding: The research was carried out with the financial support of the Ministry of Education of the Russian Federation within a framework of realizing of State Assignment No.073-00072-21-01 under the project “Digital transformation of education: development, testing of models for the implementation of distance learning in educational institutions of all levels of education”
For Citation: Kamenev R. V., Klassov A. B., Krasheninnikov V. V. The concept of using artificial intelligence in distance learning // Journal of Pedagogical Innovations. 2021;(4):30–41. (in Russ.).
References
- Blinov V. I., Bilenko P. N., Dulinov M. V., Yesenina E. Yu., Kondakov A. M., Sergeev I. S.; under scientific. ed. V. I. Blinova Pedagogical concept of digital vocational education and training. Moscow: Delo Publishing House, RANEPA. 2020. 112 p.
- Pereverzeva N. A., Mordvinova Zh. S. To the question of the prospects for the introduction of artificial intelligence technologies into the educational environment. Innovative development of science and education: collection of articles of the International Scientific and Practical Conference. In 2 parts, Penza, February 15, 2018. Penza: ICNS “Science and Education”, 2018. S. 142–144.
- Avuza A. A. Artificial intelligence systems as an element of the modern military educational environment. Problems of modern pedagogical education. 2017. No. 55-2. S. 3–10.
- Shvetsov A. N., Rzheutskaya S. Yu., Sergushicheva A. P., Sukonshchikov A. A. The architecture of an intelligent agent-based educational complex for training specialists of a technical profile. Open education. 2018. T. 22. No. 3. P. 14–24. DOI: 10.21686/1818-4243-2018-3-14-24
- Borisova E. V. The modern trend of the educational environment – artificial intelligence and digital pedagogy. Traditions and innovations in the professional training and activities of a teacher: collection of scientific papers of the All-Russian scientific and practical conference, Tver, 29-30 March, 2018. Tver: Tver State University, 2018. S. 84–87.
- Druzhinina O. V., Karpacheva I. A., Masina O. N., Petrov A. A. Development of instrumental and methodological support for assessing students’ knowledge in mathematics in the framework of a hybrid intellectual learning environment. Psychology of education in a multicultural space. 2021. No. 2 (54). S. 48–65. DOI 10.24888/2073-8439-2021-54-2-48-65
- Khaperskaya A. V. Development of a set of measures and programs for creating a new information and educational environment based on artificial intelligence. Information technologies in science, management, social sphere and medicine: collection of scientific papers of the V International scientific conferences: in 2 parts, Tomsk, December 17-21, 2018 / Edited by O. G. Berestneva, A. A. Micel, V. V. Spitsyna, T. A. Gladkova. Tomsk: National Research Tomsk Polytechnic University, 2018. pp. 238–243.
- Baierle I. L. F., & Gluz J. C. Programming intelligent embodied pedagogical agents to teach the beginning of the industrial revolution. In: R. Nkambou, R. Azevedo, & J. Vassileva, (Eds.), Intelligent Tutoring Systems. 2018. ITS 201, pp. 3-12.
- Bebbington K., MacLeod C., Ellison M., & Fay N. The sky is falling: Evidence of negativity bias in the social transmission of information. Evolution and Human Behavior, 2017. 38m(1), pp. 92–101.
- Cannoni E., Scalisi T. G., & Giangrande A. Indagine sui bambini di 5-6 anni cheusano quotidianamente i dispositivi mobili in ambito familiare: caratteristiche personali e contestuali e problematiche cognitive ed emotive. Rassegna Italiana di Psicologia, 2018. 35 (1), pp. 41–56.
- Chakraborty B., Chakma K., & Mukherjee A. A density-based clustering algorithm and experiments on student dataset with noises using Rough set theory. In: 2016 IEEE International Conference on Engineering and Technology (ICETECH), 2016. pp. 431-436.
- Gebru T., Morgenstern J., Vecchione B., Vaughan J. W., Wallach H., Daumé H., & Crawford K. Datasheets for Datasets. 2019. https://arxiv.org/abs/1803.09010
- Levendowski A. How copyright law can fix artificial intelligence’s implicit bias problem. Washington Law Review, 2018. 93 (2), pp. 579–630.
- Maseleno A., Sabani N., Huda M., Ahmad R., Jasmi K. A., & Basiron B. Demystifying learning analytics in personalised learning. International Journal of Engineering & Technology, 2018. 7 (3), pp. 1124–1129.
- Nkambou R., Azevedo R., & Vassileva J. Intelligent Tutoring Systems. 14th International Conference, ITS 2018, Montreal, QC, Canada. https://link.springer.com/book/10.1007/978-3-319-91464-0 (ver. 23.03.2020).
- Penprase B. E. The fourth industrial revolution and higher education. In N. W. Gleason (Ed.), Higher education in the era of the fourth industrial revolution. Yale-NUS College, 2018. Singapore: Palgrave McMillan, pp. 207-229.
- Zanetti M. Pregiudizio ed etichettamento: il ruolo dell’insegnante nello sviluppo di comportamenti devianti. Formazione & Insegnamento, 2018. 16(2), pp. 193–204.