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ТАЛАБАЛАРНИНГ АКАДЕМИК ФАОЛИЯТИНИ СУНЪИЙ ИНТЕЛЛЕКТ ЁРДАМИДА НАЗОРАТ ҚИЛИШ УСУЛЛАРИ

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MAQOLA ANNOTATSIYASI

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Айни пайтга келиб инсоният улкан илмий-амалий муавфаққиятларга эришди ва эришишда давом этмоқда. Шулардан бири бу сунъий интеллект (СИ) ҳисобланади ва у инсон фаолиятининг кўплаб соҳаларида кенг қўлланилмоқда. Ҳозирги кунда СИ кўплаб соҳаларда жадал ривожланмоқда, хусусан олий таълим тизими бундан мустасно эмас. Мазкур мақола талаба академик фаолиятни башоратлашга таъсир кўрсатувчи омиллар ва уни назоратга олиш ҳамда талаба салоҳиятини янада ошириш учун амалда қўлланган ва қўлланиб келинаётган усуллар таҳлилига бағишланган бўлиб, унда мавжуд таснифлаш усулларини қандай ҳолатларда оптимал эканлиги кўрсатиб берилган.

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Teglar

# нейронная сеть# neural network# artificial intelligence# искусственный интеллект# сунъий интеллект# decision tree# Bayesian method# k-nearest neighbors# дерево решений# байесовский метод# k- ближайшие соседи# қарор дарахти# нейрон тармоқ# Байес усули# к-яқин қўшнилар

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Maqola idintifikatorlari

Foydalanilgan adabiyotlar

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9. Amal Alhassan, Bassam Zafar, and Ahmed Mueen, "Predict students’ academic performance based on their assessment grades and online activity data," International Journal of Advanced Computer Science and Applications, vol. 11, no. 4, pp. 185--194, 2020.

10. Amjad Abu Saa, Mostafa Al-Emran, and Khaled Shaalan, "Mining student information system records to predict students’ academic performance," in International conference on advanced machine learning technologies and applications, Springer International Publishing, 2019, pp. 229--239.

11. Solomia Fedushko, and Taras Ustyianovych, "Predicting Pupil’s Successfulness Factors Using Machine Learning Algorithms and Mathematical Modelling Methods," in Advances in Computer Science for Engineering and Education II, Springer International Publishing, 2020, pp. 625--636

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