GEOGRAFIYA FANINI O‘QITISHDA SUN’IY INTELLEKT TEXNOLOGIYALARIDAN FOYDALANISHNING METODIK ASOSLARI
DOI:
https://doi.org/10.65164/bdgej096Kalit so‘zlar:
Sun’iy intellekt, geografiya ta’limi, metodika, raqamli texnologiyalar, adaptiv ta’lim, GIS, interfaol o‘qitish, ta’lim innovatsiyasi.Abstrak
Mazkur maqolada geografiya fanini o‘qitishda sun’iy intellekt (SI)
texnologiyalaridan foydalanishning nazariy va metodik asoslari tahlil qilinadi. Ta’lim jarayonida SI
texnologiyalarining qo‘llanilishi orqali o‘quvchilarning bilim, ko‘nikma va kompetensiyalarini
rivojlantirish imkoniyatlari ochib beriladi. Shuningdek, interfaol, individual va adaptiv ta’limni
tashkil etishda SI vositalarining ahamiyati asoslab beriladi. Tadqiqotda zamonaviy pedagogik
yondashuvlar, raqamli ta’lim muhiti va geografik axborot tizimlari bilan integratsiya masalalari
yoritilgan.
Havolalar
[1] Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and
Implications for Teaching and Learning. Boston: Center for Curriculum Redesign.
[2] Luckin, R. (2018). Machine Learning and Human Intelligence: The Future of Education for
the 21st Century. London: UCL Institute of Education Press.
[3] Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson
Education Limited.
[4] UNESCO (2021). AI and Education: Guidance for Policy-makers. Paris: UNESCO Publishing.
[5] OECD (2021). Digital Education Outlook 2021: Pushing the Frontiers with AI, Blockchain and
Robots. Paris: OECD Publishing.
[6] Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2015). Geographic
Information Science and Systems (4th ed.). Wiley.
[7] Kerski, J. J. (2018). Interpreting Our World: 100 Discoveries that Revolutionized Geography.
Esri Press.
[8] Goodchild, M. F. (2010). Twenty years of progress: GIScience in 2010. Journal of Spatial
Information Science, 1, 3–20.
[9] Baker, R. S., & Inventado, P. S. (2014). Educational Data Mining and Learning Analytics. In
Learning Analytics (pp. 61–75). Springer.
[10] Siemens, G., & Baker, R. S. (2012). Learning analytics and educational data mining.
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge.
[11] Zhao, Y. (2012). World Class Learners: Educating Creative and Entrepreneurial Students.Corwin Press.
[12] Selwyn, N. (2019). Should Robots Replace Teachers? AI and the Future of Education. Polity
Press.
[13] Mishra, P., & Koehler, M. J. (2006). Technological Pedagogical Content Knowledge: A
Framework for Teacher Knowledge. Teachers College Record, 108(6), 1017–1054.
[14] Redecker, C. (2017). European Framework for the Digital Competence of Educators
(DigCompEdu). Luxembourg: Publications Office of the European Union.
