A.Yu. Kruglov – Dr.Sc.(Soc.), Professor of Department, SPIN-code: 2101-3475

The rapid development of computing technologies and information processing methods has had a serious impact on the development and implementation of artificial intelligence (AI) both in scientific research and in the educational activities of a modern person. The use of AI in education has created new opportunities for the design of educational activities and the development of better technological and software solutions and learning environments. However, for most researchers and practitioners, both in the field of information and computer technologies, and in the field of education, the problem of developing and implementing relevant activities and AI systems continues to be the most urgent and complex.

Goal of the work is to consider the existing volume of the most important aspects and problems of the development and use of AI systems in education, determine the specific contexts of their use in the educational process and the process of education management, identify the most problematic, as well as promising topics that require the attention of researchers and specialists in the field information computer technology and education.

A model of integrative interaction «AI – education» is presented, contexts of using AI systems in education, as well as the most problematic and promising topics for further research in this area are revealed.

The identified areas of research allow us to focus on the most important and promising ones. The presented integrative model of interaction «AI – education» makes it possible to ensure the formation of reference points for assessing the effectiveness of using AI in education.

Kruglov A.Yu. The challenge of artificial intelligence research and application in education. Highly Available Systems. 2020. V. 16. № 4. P. 56−63. DOI: 10.18127/j20729472-202004-05. (In Russian).

1. Kruglov A.Yu. Tekhnicheskoe obrazovanie v interesakh ustoichivogo razvitiya: strategii obrazovaniya, napravlennogo na formirovanie kompetentsii vypusknikov tekhnicheskikh i politekhnicheskikh universitetov. Trudy Vseros. nauchno-obrazovatelnoi konf. s mezhdunarodnym uchastiem «Istoriya politekhnicheskogo obrazovaniya v Rossii». SPb.: POLITEKH-PRESS. 2019. S. 134−144. (In Russian).
2. Kruglov A.Yu. Ot tselei razvitiya tysyacheletiya k tselyam ustoichivogo razvitiya: na puti formirovaniya obshchei otvetstvennosti v obrazovanii. Sb. statei X Mezhdunar. nauchno-praktich. konf. «Nauchnaya shkola T.I. Shamovoi». V 2-kh chastyakh. M.: Izd-vo «5 za znaniya». 2018. S. 324−328. (In Russian).
3. Kruglov A.Yu. Korni ustoichivogo razvitiya: ekologicheskoe obrazovanie i gramotnost. Sb. materialov Mezhdunar. soveshchaniya «Sovremennaya selskaya shkola – shkola innovatsionnykh vozmozhnostei». Ufa. 2018. (In Russian).
4. Kruglov A.Yu. Voprosy vliyaniya informatsionnykh kommunikatsionnykh tekhnologii i onlain-sredy na formirovanie lichnosti i protsess samoidentifikatsii. Sb. materialov Pervoi Mezhdunar. nauchno-praktich. konf. «Obrazovatelnaya dinamika setevoi lichnosti». SPb.: Izdvo RGPU. 2018. S. 27−33. (In Russian).
5. Kruglov A.Yu. Mesto sotsialnoi kompyutero-oposredovannoi kommunikatsii v informatsionnom obshchestve i modernizatsii nauchnoissledovatelskogo i obrazovatelnogo prostranstva. Pedagogicheskaya informatika. M.: Akademiya informatizatsii obrazovaniya. 2006. № 6. S. 96−98. (In Russian).
6. Kruglov A.Yu. Kompyutero-oposredovannaya kommunikatsiya v optimizatsii issledovatelskoi deyatelnosti i nauchnogo informatsionnogo obmena. Vestnik Kostromskogo gosudarstvennogo universiteta im. N.A. Nekrasova. Kostroma. 2005. T. 10. № 2. S. 40−43. (In Russian).
7. Kruglov A.Yu. Metodologiya sotsiologicheskogo issledovaniya na osnove sistemy kompyuterno-oposredovannoi kommunikatsii. Monografiya. SPb.: Izd-vo RGPU. 2005. 336 s. (In Russian).
8. Shilov S.M., Kruglov A.Yu. Optimizatsiya mezhdunarodnoi deyatelnosti v ramkakh setevogo pedagogicheskogo universiteta. Vestnik Gertsenovskogo universiteta. 2010. № 7(81). S. 20−25. (In Russian).
9. Anderson J.R., Corbett A.T., Koedinger K.R. Cognitive tutors: Lessons learned. The Journal of the Learning Sciences. 1995. № 4. P. 167−207.
10. Azevedo R., Gašević D. Analyzing multimodal multichannel data about self-regulated learning with advanced learning technologies: Issues and challenges. Computers in Human Behavior. 2019. № 96. P. 207−210
11. Buckingham Shum S.J., Luckin R. Learning analytics and AI: Politics, pedagogy and practices. British Journal of Educational Technology. 2019. № 50(6). P. 2785−2793.
12. Essa A. A possible future for next generation adaptive learning systems. Smart Learning Environments. 2016. № 3(1).
13. Gasser U., Almeida V.A. A layered model for AI governance. IEEE Internet Computing. 2017. № 21(6). P. 58−62.
14. Graesser A.C., Lu S., Jackson G.T., Mitchell H., Ventura M., Olney A. AutoTutor: A tutor with dialogue in natural language. Behavior Research Methods, Instruments, & Computers. 2004. № 36(2). P. 180−192.
15. Hart S.A. Precision education initiative: Moving toward personalized education. Mind, Brain, and Education. 2016. № 10(4). P. 209−211.
16. Heffernan N.T., Heffernan C.L. The ASSISTments ecosystem: Building a platform that brings scientists and teachers together for minimally invasive research on human learning and teaching. International Journal of Artificial Intelligence in Education. 2014. № 24(4). P. 470−497.
17. Hwang G.J. Definition, framework, and research issues of smart learning environments-a context-aware ubiquitous learning perspective. Smart Learning Environments. 2014. № 1(1). P. 4.
18. Kay J. AI and education: Grand challenges. IEEE Intelligent Systems. 2012. № 27(5). P. 66−69.
19. Lang C., Siemens G., Wise A., Gašević D. Handbook of learning analytics. Society for Learning Analytics and Research. 2017.
20. Ma W., Adesope O.O., Nesbit J.C., Liu Q. Intelligent tutoring systems and learning outcomes: A meta-analysis. Journal of Educational Psychology. 2104. № 106(4). P. 901−918.
21. Macfadyen L.P., Dawson S., Pardo A., Gaševic D. Embracing big data in complex educational systems: The learning analytics imperative and the policy challenge. Research & Practice in Assessment. 2014. № 9. P. 17−28.
22. O’Shea T., Self J. Learning and teaching with computers: The artificial intelligence revolution. Prentice Hall Professional Technical Reference. 1986.
23. Selwyn N. Should robots replace teachers? AI and the future of education. John Wiley & Sons, Indianapolis. 2019.
24. Steenbergen-Hu S., Cooper H. A meta-analysis of the effectiveness of intelligent tutoring systems on college students’ academic learning. Journal of Educational Psychology. 2014. № 106(2). P. 331−347.