Authors
- Selezneva Natalia Nikolaevna
Annotation
The relevance of the issue under study is determined by the increased interest in the development of computer computing systems in the field of education, as well as the emergence of numerous training electronic courses. In particular, adaptive learning technologies are becoming in demand, on which there are great hopes and expectations associated with the individualization and differentiation of learning, due to the possibility of personal work at a computer with electronic educational resources. However, adaptive learning technology as a pedagogical technology is not limited to the adaptability of computer devices and virtual educational space. In this regard, this article is aimed at tracing what changes have occurred over time in the development of adaptive technologies in school education, which constitutes its essential content, as well as to identify its features and characteristic properties. The purpose of the study: to study the transformation of adaptive learning technologies in the school educational process. Research objectives: 1) trace the formation and development of adaptive technology as a pedagogical technology in the historical and temporal context; 2) identify the main parameters that determine the effectiveness of this technology. The main methods in the study of this issue are the study and analysis of scientific literature, articles and publications, which made it possible to identify important features of adaptive learning technology and its main components. The article presents scientific ideas about adaptive learning technology as a pedagogical technology, and also provides an overview of it and development prospects that the computer industry seeks to implement to the maximum extent, namely, to implement the adaptability property of an intelligent system in learning technology, based on taking into account the individual characteristics and needs of the student.
How to link insert
Selezneva, N. N. (2022). TRANSFORMATION OF ADAPTIVE LEARNING TECHNOLOGIES FROM PEDAGOGICAL TECHNOLOGY TO LEARNING SYSTEMS WITH ARTIFICIAL INTELLIGENCE ELEMENTS Bulletin of the Moscow City Pedagogical University. Series "Pedagogy and Psychology", 2022, №3 (61), 113. https://doi.org/10.25688/2072-9014.2022.61.3.10
References
1.
1. Yasnitskiy, L. N. (2016). Intelligent systems. Moscow: Laboratory of Knowledge. 221 p. (In Russ.).
2.
2. Kapustin, N. P. (1999). Pedagogical technologies of adaptive school. Textbook. Moscow: Academy. 216 p. (In Russ.).
3.
3. Krivshenko, L. P. et al. (2010). Pedagogy. Textbook (L. P. Krivshenko (Ed.)). Moscow: TK Velbi. 432 p. (In Russ.).
4.
4. Talyzina, N. F. (1980). Methodology of drawing up training programs. Moscow: MSU. 47 p. (In Russ.).
5.
5. Shamova, T. N. Davydenko, T. M., & Rogacheva, N. A. (1995). Adaptive school management: problems and prospects. Arkhangelsk: Publishing House of the Pomeranian International Pedagogical University. 161 p. (In Russ.).
6.
6. Granitskaya, A. S. (1991). Teach to think and act: Adaptive system of education at school. Textbook. Moscow: Enlightenment. 75 p. (In Russ.).
7.
7. Yamburg, E. A. (2004). Management of adaptive school development. Moscow: PerSe. 366 p. (In Russ.).
8.
8. Elkonin, D. B. (1989). Selected psychological works. Moscow: Pedagogy. 560 p. (In Russ.).
9.
9. Bespalko, V. P. (1989). Components of pedagogical technology. Moscow: Pedagogy, 192 p. (In Russ.).
10.
10. Nevdyaev, L. M. (2002). Telecommunication technologies. English-Russian explanatory dictionary-reference (Y. M. Gornostaev (Ed.)). Moscow: International Center for Scientific and Technical Information. 592 p. (In Russ.).
11.
11. Sragovich, V. G. (1981). Adaptive management. Moscow: Nauka, 384 p.
12.
12. Grigoriev, S. G., Grinshkun V. V. (2005). Informatization of education. Fundamentals. Textbook. Moscow: MSPU, 231 p. (In Russ.).
13.
13. Laurier, J.-L. (1991). Artificial intelligence systems. Moscow: Mir, 568 p. (In Russ.).
14.
14. Vilkova, K. A., & Lebedev, D. V. (2020). Adaptive learning in higher education: pros and cons. Moscow: HSE. 36 p. (In Russ.).
15.
15. Holmes, W., Bialik, М., & Fadel, C. (2019). Artificial Intelligence in Education. Promise and Implications for Teaching and Learning. The Center Curriculum Redesign, Boston, 242 s.
16.
16. Natriello, G. (2017). The Adaptive Learning Landscape. Teachers College Record, 119, article 030309.
17.
17. Tsarev, R. Yu., Tynchenko, S. V., & Gritsenko, S. N. (2016). Adaptive learning using the resources of the information and educational environment. Modern problems of science and education, 5, 219–219. (In Russ.).