Ushbu maqolada paralingvistik vositalarning boshlang‘ich sinf o‘quvchilari fikrlash qobiliyatini rivojlantirishdagi ahamiyati tadqiq etilgan. Tadqiqot boshlang‘ich sinf o‘qituvchilari, o‘quvchilar ishtirokida olib borilgan kuzatish, so‘rovnoma va pedagogik eksperiment natijalariga asoslangan. Paralingvistik vositalarning (mimika, jest, imo-ishoralar, ovoz ohangdorligi, nutq tempi, makon munosabatlari) qo‘llanilishi o‘quvchilarning mantiqiy, tanqidiy va ijodiy fikrlash ko‘nikmalarini faollashtirishi aniqlangan. Tadqiqot natijasida paralingvistik vositalardan foydalanishning samarali metodikasi ishlab chiqilgan va amaliyotga tatbiq etilgan. Yakuniy natijalar paralingvistik vositalarning boshlang‘ich ta’limda o‘quvchilarning fikrlash qobiliyatini rivojlantirishdagi samaradorligini tasdiqlovchi ilmiy asoslangan ma’lumotlarni taqdim etadi.
Southern Aral Sea region, including Khorezm province and adjacent territories, is characterized by unique ecological conditions due to the desiccation of the Aral Sea and climate changes. These factors significantly impact public health, leading to specific pathological changes at the cellular, tissue, and organ levels. This article examines the pathological changes in the lungs, hepatobiliary system, kidneys, and cardiovascular system, as well as their correlation with the ecological factors of the region. Additionally, the study highlights the role of environmental stressors in the development of these conditions and emphasizes the importance of early diagnosis and prevention within the region.
The article discusses the issue of women's rights and equality in Islam. Islam calls for women to be granted equal rights with men, assigning them a specific status and responsibility. The Quran and Hadith clearly define women's rights to education, work, property ownership, and participation in social life. Also, the obligations between men and women in family life are based on the principles of justice. The article analyzes the role of women in Islam from a philosophical and modern point of view, paying attention to the issue of gender equality.
In this research, a combination of Linear Regression and K-Nearest Neighbors (KNN) was utilized to analyze the relationship between nutritional composition (carbohydrates, fats, and proteins) and shelf-life of food products. The primary objective was to enhance the predictive accuracy of food expiration dates using machine learning techniques.