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Masofaviy ta’limni o‘qitishni boshqarishda talabalar tasvirlarini tanib olish algoritmlarini ishlab chiqish
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| Sana | 28.05.2024 | | Hajmi | 14,32 Kb. | | #255531 |
Bog'liq ANNATATSIYA
ANNATATSIYA
Mazkur magistrlik dissertatsiya “Masofaviy ta’limni o‘qitishni boshqarishda talabalar tasvirlarini tanib olish algoritmlarini ishlab chiqish” yaratishga bag‘ishlangan bo‘lib, mavzu bo‘yicha mavjud manbalardan foydalangan xolda o‘rganib chiqildi va zaruriy xulosalar olindi. Bu ish, Ta’lim sohasalarida, dars jarayonini avtomatlashitirilgan boshqaruvi orqali davomatni aniqlashda yordam beradi. Dissertatsiyada Ta’lim jarayonlarini raqamli Talabalarni nazoratga olish muhimligi, axamiyatini ochib berish orqali uning modellari va algoritmlarini ishlab chiqishning horij tajribalari o‘rganilib mamlakatning ta’lim muasasalarida qo‘llash imkoniyatlari bayon qilingan. Axborot texnologiyalari va kompyuter injiniringi fakultetini ta’lim jarayonlarini boshqarishning raqamli davomat olish va algoritmlari yaratildi. Yaratilgan dastur va uning natijalari olinib, tajriba sinovi ijobiy natijalar berdi. Masofaviy ta’limni o‘qitishni boshqarishda talabalar tasvirlarini tanib olish dasturi natijalari masofaviy darslarda ishtirok etayotgan talabalarni avtomatik ravishda aniqlash imkonini berib, bu usul qo‘lda ro‘yxat olish jarayoniga nisbatan ko‘proq aniqlik va vaqt tejalishini ta’minladi.
ANNOTATION
This master's thesis is devoted to the creation of "Development of algorithms for recognizing student images in the management of distance education" and has been studied using available sources on the topic and the necessary conclusions have been drawn. This work helps in the field of education to determine the attendance through the automated management of the course process. In the dissertation, the importance and importance of digital student control of educational processes is studied, foreign experiences of developing its models and algorithms are studied, and the possibilities of using them in educational institutions of the country are described. Algorithms for digital attendance and management of educational processes of the faculty of information technology and computer engineering were created. The created program and its results were obtained, and the pilot test gave positive results. In distance education learning management, student image recognition software results in automatic identification of students participating in distance learning, providing greater accuracy and time savings compared to the manual registration process.
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