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A Survey on Multimodal Approaches for Lung Disease Diagnosis using Deep Learning
Get PDFLung disorders are a major global health issue. A quick and accurate diagnosis is essential for proper treatment. In order to increase diagnostic accuracy, recent multimodal techniques are gaining popularity. This study carried out a comprehensive analysis of research articles on multimodal approaches that were published between 2020 and 2024 in Scopus and Google Scholar. The results show that there is limited study on the multimodal approach and on a variety of lung disorders such as asthma, TB, pneumonia, and chronic obstructive pulmonary disease. Several studies concentrated mainly on the detection and binary classification of COVID-19. The field has several challenges, including limited datasets, high computing costs, difficulties in integrating multiple modalities, and lack of accessibility of the models. Future studies should look at a wider range of lung diseases, increase the accessibility of datasets, improve fusion methods for merging data from many sources, and create models that are easier to understand and use fewer resources. Resolving these issues will improve patient outcomes by advancing the real-world use of deep learning in medical diagnosis
Кәсіпкерлікті мемлекеттік қолдау және дамыту саясаты
Get PDFБұл магистрлік диссертация Қазақстандағы кәсіпкерлікті мемлекеттік қолдау және дамыту саясатын жан-жақты зерттейді. Жұмыс барысында шағын және орта бизнесті (ШОБ) қолдаудың заңнамалық негіздері, қаржылық және инфрақұрылымдық тетіктері, сондай-ақ аймақтық теңсіздіктер мен кәсіпкерлердің қанағаттану деңгейі талданды. Зерттеу нәтижелері көрсеткендей, соңғы он бес жылда ШОБ-тың ЖІӨ дегі үлесі едәуір артып, жұмыспен қамту мен экспорт көлемі өсті. Бұл – мемлекеттік бағдарламалардың нақты экономикалық әсерін дәлелдейді. Дегенмен, шалғай өңірлерде қолдау қолжетімділігі төмен және рәсімдердің күрделілігі кәсіпкерлер үшін кедергі болып отыр. Халықаралық тәжірибе (АҚШ, Германия, Жапония, Оңтүстік Корея, Сингапур) Қазақстан үшін инновацияны қолдау, венчурлік қаржыландыру және цифрлық қызметтерді кеңейту бағыттарында үлгі бола алады. Диссертацияда осы бағыттарды дамытуға арналған нақты ұсыныстар берілген
The effects of demographic factors on learners’ flow experience in gamified educational quizzes
No full textIn recent years, gamification gained widespread adoption in education aiming to increase students’ positive experiences (e.g., motivation, engagement, and flow state). However, the results of using gamification in education are still contradictory, challenging the community to comprehend the influence of individual factors on learners’ experiences within gamified educational systems. To tackle this challenge, this study explored how various demographic factors (i.e., gender, degree, individualism/collectivism, and masculinity/femininity) impact the flow experience of learners in a gamified educational quiz. A quantitative cross-cultural study involving 205 participants was conducted, utilizing partial least squares structural equation modeling to explore the influence of demographic factors on learners’ flow experience in the gamified educational quiz. The analysis revealed that age has a significative positive association with learners’ flow experience, while individualism has a negative association. These findings provide insights into educational technologies and gamification, offering a deeper understanding of how demographic factors shape learners’ flow experience in gamified educational environments
DIFFERENTIATION OF HOMEWORK IN PHYSICS TO IMPROVE THE ACHIVEMENTS OF 9TH GRADE STUDENTS IN SECONDARY SCHOOLS IN KAZAKHSTAN
Get PDFThis study examines the impact of differentiated homework assignments on the academic achievements of 9th-grade students in physics within secondary schools in Kazakhstan. The research employs a mixed-methods approach, incorporating both qualitative and quantitative data collection techniques, including pre- and post-assessment tests. The study aims to determine whether tailored homework assignments, based on students' proficiency levels and learning styles, enhance their understanding and performance in physics. Findings indicate that differentiation in homework positively affects student engagement, comprehension, and overall academic success. The research highlights the necessity of personalized learning approaches in physics education. This study contributes to the broader discourse on effective teaching methodologies and underscores the role of homework customization in fostering student achievement
Персоналды даярлау және дамыту жүйесін ұйымдастыру
Get PDFБұл жобалық жұмыста ұйымдарда оқыту мен персоналды дамыту жүйесін қалыптастырудың теориялық негіздері мен практикалық аспектілері қарастырылған. Жұмыстың негізгі мақсаты-компанияның кәсіби өсуі мен ұзақ мерзімді бәсекеге қабілеттілігін қамтамасыз ететін кадрларды даярлау мен біліктілігін арттырудың тиімді тәсілдерін ұсыну. Зерттеу барысында персоналды дамытудың негізгі тәсілдері мен әдістері: тәлімгерлік, коучинг, тренингтер, тағылымдамалар, корпоративтік университеттер талданды. Қазіргі тенденцияларға – онлайн оқыту, микролернинг, геймификацияға ерекше назар аударылады. Практикалық бөлімде мақсатты, міндеттерді, іске асыру кезеңдерін, жоспар кестесін, бюджетті және тиімділікті бағалау тетіктерін қамтитын "Мұғалім" жобасы ұсынылған. Жоба енгізуде күтілетін нәтижелер: қызметкерлердің біліктілігін арттыру, кадр резервін қалыптастыру, персонал тұрақсыздығын төмендеуі, қызметкерлердің ынтасының өсуі.Жұмыстың практикалық маңыздылығы: кез-келген ұйымға бейімделе алатын оқыту және дамыту жүйесінің әмбебап жобасын жасау болып табылады. Енгізу перспективасы-кадрлық әлеуетті нығайту және бәсекелестік орта жағдайында компанияның тұрақтылығын арттыру
DETECTING SOCIAL CONFLICTS IN KINDERGARTENS USING DEEPLEARNING AND COMPUTER VISION
Get PDFEarly conflict detection in kindergartens plays a significant role in ensuring a harmonious learningatmosphere and in promoting the social growth of young children. While most previous works have onlyaddressed conflict detection through adults, in this paper, we specifically address conflict detection inkindergartens using deep learning, utilizing both spatial and temporal information to improve performance.The application of deep learning and computer vision in automatically detecting and analyzing earlyconflicts among young children is discussed in this paper. Using video footage, we leverage state-of-the-art RNNs and 3D CNNs for high-accuracy detection of conflict instances. Crucial visual cues—facialexpressions, gestures, poses, vocal tone, and movement—are examined for the extraction of tension oraggression signs. The model is evaluated on real kindergarten video data, with promising conflict detectionand classification results. The findings indicate the potential of AI-supported tools in assisting teachers inclass management, child behavior monitoring, early intervention mechanisms, and the fostering of a goodsocial environment
PERCEIVED CHALLENGES AND SOLUTIONS TO FOREIGN LANGUAGE ANXIETY IN READING
Get PDFThis study explores the difficulties and coping strategies of students who have anxiety when reading in a foreign language. Through a qualitative thematic analysis of interviews with 8 master's students, three main themes emerged: the challenges in foreign language reading include vocabulary difficulties, text complexity, and speed constraints; emotional responses such as anxiety, self-doubt, and external pressures; strategies to overcome reading anxiety include vocabulary building techniques, digital tools, and peer support. The findings are significant in highlighting the importance of motivation, self-regulation and structured pedagogical interventions in reducing reading anxiety. Learners can be supported by educators by introducing pre reading strategies, encouraging collaborative learning and incorporating technology into teaching to help in improving comprehension and confidence. Limitations of the study include small sample size and reliance on self-reported data
Library Digest No 10
No full textДайджест Научной библиотеки представляет актуальные события, обновления и ключевые инициативы, направленные на поддержку образовательной и исследовательской деятельности университета. Выпуск включает самые важные новости о ресурсах, сервисах, проектах и достижениях библиотеки, обеспечивая читателей удобным и кратким обзором последних изменений
STRATEGIES TO OVERCOME FLA: TEACHERS' VIEWS
Get PDFThis study aims to identify efficient strategies to overcome and reduce foreign language anxiety (FLA) among English as a Foreign Language (EFL) students. 9 EFL teachers from the university shared their views toward FLA and reported their strategies to reduce FLA. Using a qualitative method, semi-structured interviews were conducted. The findings showed that several effective strategies may help to overcome FLA among students. The strategies have included creating a supportive atmosphere and classroom environment, using engaging teaching methods, and helping students build confidence. This study contributes to the existing findings of FLA while comparing the teachers’ effective strategies
The Fundamental Logic and Potential Value of Applying Restorative Justice to the Prevention and Treatment of School Bullying in China
Get PDFGiven the frequent occurrence of school bullying cases, the Chinese government has been working to address the prevention and treatment of school bullying in recent years. School bullying infringes on individuals and disrupts peer relationships; hence, this issue aligns with the focus of restorative justice on the process of addressing harm to interpersonal relationships. Restorative justice emphasizes victims’ feelings and rights, encourages “reconciliation,” and aligns with China’s traditional legal culture of “no litigation” and the educational objectives of schools. Currently, the application of restorative justice in addressing school bullying in China is still exploratory, some traditional educational methods already implicitly contain the spirit of restorative justice. The newly released government documents on the governance of school bullying also provide room for the application of restorative justice. The traditional restorative mediation model or meeting model can theoretically be used for different bullying cases, focusing on “truth-telling,” “empowerment,” and “apology and compensation”. In the future, given the expansive possibilities of restorative justice in schools facilitated by traditional campus culture and class teacher authority, bullying prevention and control on campuses can be extended further by reinforcing proactive practices of educational learning and reactive practices of responding to harm and wrongdoing