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With the exponential growth of digital media, readers face a daunting task of sifting through vast amounts of information to identify important news. This problem is especially critical for media professionals, journalists, and news agencies who need to quickly filter news articles to identify relevant and significant stories. Machine learning models offer a promising solution by automatically classifying news articles based on their significance. In this paper, we propose novel machine learning models for news significance detection, leveraging state-of-the-art deep learning architectures and a dataset of news articles. We evaluate our models using a variety of performance metrics and demonstrate their effectiveness compared to existing methods. Our proposed approach has the potential to significantly improve the efficiency and accuracy of news selection, benefiting both media professionals and readers alike. Furthermore, it can be beneficial to forecast the popularity of fake news and prevent its dissemination in society. Approximately, 2800 Azerbaijani news articles have been collected from telegram and labeled as popular or unpopular according to statistical calculation results. For news popularity detection, application of SVM, Random Forest and Neural network models and their results have been discussed in this paper. [ABSTRACT FROM AUTHOR]

Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played educational games within a week on the educational games platform, Legends of Learning and after a week, we asked them to fulfill the feedback survey about their feelings on the use of this platform. To analyze the collected data from students, firstly, we prepared clusters and selected one prototype student closest to the centroid of each cluster to interview. Interviews were held to explain the clusters more and due to time and resource limitations, we were unable to interview all (N=60) students, thus only the most representative students were interviewed. In addition to the students, we conducted an interview with the teacher as well to get her detailed feedback and observations on the usage of educational games. We also asked students to take an exam before and after the research to see the impact of games on their grades. Our results depict that though educational games can increase students' motivation, they may negatively impact some students' grades. And even though playing games made students feel interested and fun, they would not like to play them on a daily basis. Hence, using educational games for a certain duration such as subject revision weeks may positively influence students' grades and motivation. [For the complete proceedings, see ED630829.]

We live in environmentally turbulent times where issues such as freshwater scarcity, soil and air pollution, natural disasters and depletion, biodiversity loss, and infectious diseases pose a serious danger for future generations. Climate change is one of the most significant modern threats, the solution to which requires the engagement of different social branches. Every year many students complete higher education institutions in Azerbaijan. From those, only 20% engage in environmental studies. As a result, only these graduates receive education in current environmental problems and their possible solutions. To tackle this problem, the Environmental Science course was introduced at ADA university for students from all disciplines, including policymaking, economy, technology development, and science. Since the Fall of 2017, more than 2,500 students have successfully completed the course as part of their bachelor's studies. In the scope of the program which includes both theoretical and field studies, students have visited the national reserves and parks, industry facilities, received insight into current global and local policies, and unresolved problems. The students have further developed and successfully presented their projects related to environmental health and circular economy. A number of students continued their education in the field of environmental policy diplomacy and currently work for local and international environmental organizations. The aim of this initiative is to support the transition towards a global circular economy, help address the country's pollution and deforestation issues, and preserve biodiversity through engaging youth from all areas of expertise in environmental problems of our times. [For the complete proceedings, see ED655360.]

The reason for the interest in the use of learning technologies that protect health in education is not to harm the physical and psychological health of learners in the process of training and education. After the creation of new types of innovative educational institutions, the knowledge load of learners increases, the increasing learning load can disrupt the normal development of students' central nervous system, vision, musculoskeletal system. This seriously harms the health of students. Only 5-15% of school leavers are healthy. To partially eliminate this problem, the project "Healthy Education-Healthy Nation" is being implemented in Azerbaijan to develop education. During the implementation of the project, its goals were expanded psycho-pedagogically in a local school. The goal was to develop students' thinking while maintaining their health. To achieve this goal, changes were made in the learning process: (1) The purpose of training was replaced by the purpose of learning; (2) Active training was replaced by constructive learning; (3) The structure of the knowledge of programs is based on a complete and fuzzy model; and (4) Tasks that ensure the operational development of student thinking, price criteria were created to measure the level of development. The article reflected the work done within the project. [For the full proceedings, see ED626585.]

This document is comprised of the proceedings from the first Central and Eastern European Early Childhood Care and Development (ECCD) meeting in Budapest, Hungary, October 24-28, 1999, convened to begin the development of an ECCD network in the region to address the similar needs and concerns of children in these countries. Following an introductory chapter describing the organization of the meeting, discussions concerning the objectives for the network, a possible working structure, and country representatives' responsibilities, the following papers reporting on the situation of children and available services are presented: (1) "Situation of Children in Albania" (Altin Hazizaj); (2) "Conditions of Education and Development of Children in Armenia" (Gurgen Vardanyan); (3) "Early Childhood Care and Development in Azerbaijan" (Iskander Iskanderov); (4) "Childhood in Romania"; (5) "Pre-school Education in Romania" (Anca Butuca); (6) "Family Education Programme in Romania"; (7) "Situation of Preschool Aged Children in the Slovak Republic" (Zita Badurikova); (8) "Early Childhood Care and Development in Ukraine" (Lydia Derkach); (9) "All-Ukrainian NGO 'Our Children'" (Vadim Georgienko); and (10) "Transforming Early Childhood Practices in Yugoslavia" (Mirjana Pesic). A list of conference participants is appended. (KB)