MOBIL ILOVALAR ORQALI BIOLOGIYA FANIDAN O‘QUVCHILARNING BILIM DARAJASINI REAL VAQT REJIMIDA BAHOLASH MEXANIZMLARI

Mualliflar

  • Sarvinoz Salimova Buxoro davlat universiteti Author
  • Nozima Kenjayeva Buxoro davlat universiteti Author

Kalit so‘zlar:

mobil ilovalar, real vaqt baholash, biologiya ta’limi, raqamli pedagogika, formativ baholash, learning analytics, interaktiv test, feedback

Annotatsiya

Mazkur maqolada biologiya fanini o‘qitishda mobil ilovalar yordamida o‘quvchilarning bilim darajasini real vaqt rejimida baholash mexanizmlari tahlil qilinadi. Raqamli ta’lim muhitida interaktiv testlar, avtomatik baholash tizimlari va tezkor feedback vositalarining pedagogik imkoniyatlari yoritiladi. Tadqiqot davomida mobil ilovalar (Kahoot, Quizizz, Google Forms va boshqalar) orqali tashkil etilgan baholash jarayonining o‘quvchilarning faolligi, bilimlarni o‘zlashtirish darajasi va mustaqil fikrlashiga ta’siri aniqlanadi. Shuningdek, real vaqt rejimida baholashning formativ baholash bilan bog‘liqligi va uning individual yondashuvni ta’minlashdagi roli asoslab beriladi. Natijada mobil texnologiyalar asosida tashkil etilgan baholash tizimining samaradorligi ilmiy jihatdan isbotlanadi.

Iqtiboslar

1. Толипов Ў. Қ., Усмонбоева М. Педагогик технологиялар ва педагогик маҳорат. – Тошкент: Инновация-Зиё, 2019. – 300 б.

2. Ишмухамедов Р. Ж., Абдуқодиров А. А., Пардаев А. Таълимда инновацион технологиялар. – Тошкент: Фан ва технология, 2014. – 240 б.

3. Рўзиева Д. И. Олий таълим муассасаларида ўқитиш технологиялари. – Тошкент: Фан, 2016. – 200 б.

4. Crompton H., Burke D. The use of mobile learning in higher education: A systematic review // Computers & Education. – 2018. – Vol. 123. – P. 53–64.

5. Bano M., Zowghi D., Kearney M., Schuck S., Aubusson P. Mobile learning for science and mathematics school education: A systematic review // Computers & Education. – 2018. – Vol. 121. – P. 30–58.

6. Black P., Wiliam D. Assessment and classroom learning // Assessment in Education: Principles, Policy & Practice. – 1998. – Vol. 5, No. 1. – P. 7–74.

7. Wiliam D. Embedded formative assessment. – Bloomington: Solution Tree Press, 2011. – 192 p.

8. Siemens G. Learning analytics: The emergence of a discipline // American Behavioral Scientist. – 2013. – Vol. 57, No. 10. – P. 1380–1400.

9. Long P., Siemens G. Penetrating the fog: Analytics in learning and education // EDUCAUSE Review. – 2011. – Vol. 46, No. 5. – P. 31–40.

10. Kolb D. A. Experiential learning: Experience as the source of learning and development. – New Jersey: Prentice Hall, 1984. – 256 p.

11. Tavares R., Vieira R. M., Pedro L. Mobile applications in science education: Design and evaluation // Procedia Computer Science. – 2020. – Vol. 164. – P. 123–130.

12. Jeno L. M., Grytnes J. A., Vandvik V. The effect of a mobile-application tool on biology students’ motivation and learning // Computers & Education. – 2017. – Vol. 107. – P. 1–12.

13. Kukulska-Hulme A., Traxler J. Mobile learning: A handbook for educators and trainers. – London: Routledge, 2005. – 192 p.

14. Ally M. Mobile learning: Transforming the delivery of education and training. – Edmonton: Athabasca University Press, 2009. – 296 p.

15. Hwang G. J., Tsai C. C. Research trends in mobile and ubiquitous learning // British Journal of Educational Technology. – 2011. – Vol. 42, No. 4. – P. E65–E70.

Yuklab Olishlar

Nashr qilingan

2026-04-08