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Dildarxan Xashimovaning hammualliflikdagi maqolasi “Scopus Q2” jurnali hamda “Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA)” nashriyoti ma’lumotlar bazasida indeksatsiya bo‘ldi
Toshkent Davlat Yuridik universiteti O‘zbek tili va adabiyoti kafedrasi professori Dildarxan Xashimova hammualliflikdagi “Multi-Scale Attention-based Wireless Network Algorithm for Enhancing Language Learning Outc” nomli maqolasi “Scopus Q2” jurnali, “Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA)” nashriyoti va “Innovative Information Science & Technology Research Group” ma’lumotlar bazasida indeksatsiya bo‘ldi.
Maqolada til o‘rgatish mashg‘ulotlarida o‘quvchi va talabalarning bilim va ko‘nikmalarini aniqlash va mukammallashtirishga qaratilgan algoritm taklif etilgan. Unda Innovatsion usul sifatida MSAM deb nomlangan maxsus texnologiya ishlab chiqilgan. Algoritm o‘qish, tinglab tushunish va kuzatish ko‘nikmalarini aniqlash, rivojlantirish va mukamallashtirish bo‘yicha sinovdan o‘tkazilgan. Ushbu usul zamonaviy ta’lim nazariyalari bilan uyg‘unlashtirib, o‘quv natijalarini yaxshilashga ko‘maklashadi. Shuningdek, maqolada talabalarning o‘qish, tinglab tushunish va kuzatish ko‘nikmalarini tizimli baholash orqali shaxsiylashtirilgan o‘rganish yo‘lini ishlab chiqishga alohida e’tibor qaratilgan.
Maqolaning Scopusdagi havolasi: https://www.scopus.com/record/display.uri?eid=2-s2.0-105002986978&origin=recordpage
Maqola havolasi: https://jowua.com/article/2025.I1.005/71841/
Статья Дильдaрхaн Хашимовой, написанная в соавторстве, проиндексирована в базах данных журнала «Scopus Q2» и издательства «Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA)»
Статья профессора кафедры узбекского языка и литературы Ташкентского государственного юридического университета Дильдaрхaн Хашимовой под названием «Multi-Scale Attention-based Wireless Network Algorithm for Enhancing Language Learning Outc», написанная в соавторстве, проиндексирована в базах данных журнала «Scopus Q2» и издательства «Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA)» и « Innovative Information Science & Technology Research Group».
В данной статье предложен алгоритм, направленный на выявление и совершенствование навыков и умений у студентов на занятиях по обучению языкам. В качестве инновационного метода была разработана специальная технология под названием MSAM. Алгоритм по определению, развитию и совершенствованию таких навыков, как чтение, аудирование и наблюдение прошел апробирование. Работа сочетает последние достижения в области алгоритмов обучения с современными теориями образования для повышения эффективности обучения. Особое внимание уделяется разработке персонализированного метода обучения на основе систематической оценки навыков чтения, восприятия на слух и наблюдения студентов.
https://www.scopus.com/record/display.uri?eid=2-s2.0-105002986978&origin=recordpage
https://jowua.com/article/2025.I1.005/71841/
The article (collaborative) by Professor Dildarkhan Khashimova has been indexed in “Scopus Q2” and “Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA)” databases
The article by Professor Dildarkhan Khashimova, from the Department of Uzbek Language and Literature at Tashkent State University of Law, titled “Multi-Scale Attention-based Wireless Network Algorithm for Enhancing Language Learning Outc,” co-authored with others, has been indexed in the “Scopus Q2” database, as well as by the publisher “Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA)” and the “Innovative Information Science & Technology Research Group.”
This article proposes an algorithm aimed at identifying and improving students’ skills and abilities in language learning classes. As an innovative method, a special technology called MSAM was developed. The algorithm for identifying, developing, and enhancing skills such as reading, listening, and observation has been tested. The work combines the latest advances in learning algorithms with modern educational theories to increase the effectiveness of learning. Special attention is given to the development of a personalized learning method based on systematic assessment of students’ reading, listening, and observation skills.
Link to the article in Scopus:
https://www.scopus.com/record/display.uri?eid=2-s2.0-105002986978&origin=recordpage
https://jowua.com/article/2025.I1.005/71841/