Sun’iy intellekt yordamida individual o‘qish yo‘nalishini yaratish
DOI:
https://doi.org/10.5281/zenodo.20020491Ключевые слова:
sun’iy intellekt, individual o‘qish yo‘nalishi, o‘quv traektoriyasi, moslashtirilgan ta’limАннотация
Ushbu maqola sun’iy intellekt (SI) texnologiyalaridan foydalangan holda talabalar uchun individual o‘qish
yo‘nalishlarini yaratishning nazariy va amaliy jihatlarini ko‘rib chiqadi. Tadqiqotda SI asosida ishlovchi tizimlar yordamida
o‘quv traektoriyalarini shakllantirishning metodologik asoslari ishlab chiqilgan. Talabalarning o‘qish qobiliyatlarini baholash,
ularning kuchli va zaif tomonlarini aniqlash hamda shunga mos individual o‘qish rejalari tuzish mexanizmlari taklif
etilgan. Amaliy tadqiqot natijalari individual yo‘nalishlarning talabalarning o‘qish samaradorligini oshirishga, o‘quv jarayoniga
qiziqishini yanada kuchaytirishga va akademik natijalarni yaxshilashga xizmat qilishini ko‘rsatdi
Библиографические ссылки
1. Ahuja N.J., Sille R. A critical review of development of intelligent tutoring systems: Retrospect, present and prospect.
International Journal of Computer Science Issues. 2013;10(4):39-48.
2. Azevedo R., Hadwin A.F. Scaffolding self-regulated learning and metacognition: Implications for the design of computer-
based scaffolds. Instructional Science. 2005;33(5-6):367-379.
3. Bloom B.S. The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring.
Educational Researcher. 1984;13(6):4-16.
4. Brusilovsky P. Adaptive hypermedia. User Modeling and User-Adapted Interaction. 2001;11(1-2):87-110.
5. Brusilovsky P., Peylo C. Adaptive and intelligent Web-based educational systems. International Journal of Artificial
Intelligence in Education. 2003;13(2-4):159-172.
6. Chen X., Xie H., Zou D., Hwang G.J. Application and theory gaps during the rise of Artificial Intelligence in Education.
Computers and Education: Artificial Intelligence. 2020; 1:100002.
7. Creswell J.W., Plano Clark V.L. Designing and Conducting Mixed Methods Research. 3rd ed. Thousand Oaks: SAGE
Publications; 2017. 520 p.
8. Graesser A.C., Conley M.W., Olney A. Intelligent tutoring systems. In: Sawyer R.K., editor. The Cambridge Handbook
of the Learning Sciences. 2nd ed. Cambridge: Cambridge University Press; 2014. p. 267-281.
9. Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning.
Boston: Center for Curriculum Redesign; 2019. 248 p.
10. Karampiperis P., Sampson D. Adaptive learning resources sequencing in educational hypermedia systems. Educational
Technology & Society. 2005;8(4):128-147.
11. Keefe J.W., Jenkins J.M. Personalized Instruction: The Key to Student Achievement. 2nd ed. Lanham: Rowman &
Littlefield; 2008. 160 p.
12. Locke E.A., Latham G.P. Building a practically useful theory of goal setting and task motivation: A 35-year odyssey.
American Psychologist. 2002;57(9):705-717.
13. Luckin R., Holmes W., Griffiths M., Forcier L.B. Intelligence Unleashed: An Argument for AI in Education. London:
Pearson; 2016. 88 p.
14. Papanikolaou K.A., Grigoriadou M., Kornilakis H., Magoulas G.D. Personalising the interaction in a Web-based educational
hypermedia system: The case of INSPIRE. User Modeling and User-Adapted Interaction. 2003;13(3):213-267.
15. Park O., Lee J. Adaptive instructional systems. In: Jonassen D.H., editor. Handbook of Research on Educational Communications
and Technology. 2nd ed. Mahwah: Lawrence Erlbaum; 2004. p. 651-684.
16. Reigeluth C.M. Instructional-design Theories and Models: A New Paradigm of Instructional Theory. Vol. 2. Mahwah:
Lawrence Erlbaum; 1999. 704 p.
17. Shadish W.R., Cook T.D., Campbell D.T. Experimental and Quasi-Experimental Designs for Generalized Causal Inference.
Boston: Houghton Mifflin; 2002. 623 p.
18. Tomlinson C.A. How to Differentiate Instruction in Mixed-Ability Classrooms? 2nd ed. Alexandria: ASCD; 2001. 152 p.
19. VanLehn K. The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational
Psychologist. 2011;46(4):197-221.
20. Wainer H., Dorans N.J., Eignor D., Flaugher R., Green B.F., Mislevy R.J., et al. Computerized Adaptive Testing: A
Primer. 2nd ed. Mahwah: Lawrence Erlbaum; 2000. 360 p.
21. Woolf B.P. Building Intelligent Interactive Tutors: Student-centered Strategies for Revolutionizing E-learning. Burlington:
Morgan Kaufmann; 2009. 480 p.
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