THE MODERN APPROACH TO THE EDUCATIONAL PROCESS FOR DIAGNOSIS IN DENTISTRY by I.A. Ozhogan

“…These algorithms can be used in teaching dentists for making the diagnosis, makes it possible to eliminate a number of diagnostic errors, helps to think correctly, to find optimal diagnosis, to develop a doctor tactics for a variety of situations. …”
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A novel data-driven based high-precision building roof contour full-automatic extraction and structured 3D reconstruction method combining stereo images and LiDAR points by Xiongwu Xiao, Kai Wang, Zhichao Zhong, Wenhu Qu, Weiwei Wu, Zhigao Cui, Yanzhao Su, Aihua Li, Jianya Gong, Deren Li

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FUZZY MODELING OF HETEROGENEOUS KNOWLEDGE IN INTELLECTUAL EDUCATIONAL SYSTEMS by Yury A. Kravchenko, Victoriya V. Bova

“…The article is devoted to development of formalized representation model for intellectual educational systems knowledge base definition in an uncertain conditions. …”
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Challenges and Limitations of Rational Education from Farabi’s Perspective by Maryam Nasr Esfahani, Reza Ali Nowrozi

“…Research Method: This research employs the descriptive phenomenological method using Colaizzi's approach and explores Farabi’s primary works, particularly The Opinions of the People of the Virtuous City and Political Regime, to gain a deep understanding of the barriers to rational education. Findings: The findings indicate that nine key factors, including ignorance, fanaticism and blind imitation, weakness of will, dominance of appetitive and irascible faculties over the soul, an unhealthy public culture, superstitions, lack of rational role models, linguistic errors, irrational structures, and tyranny and lack of meritocracy, are the main obstacles to rational education. …”
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Application of educational data mining in subject learning at university by Irina A. Kotiurova

“…Digital technologies are being actively incorporated into all educational processes, in particular so-called “end-to-end technologies”, which among others include big data as a management tool within educational systems. …”
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CREATIVE CORE WITHIN THE SCIENTIFIC RESEARCH OF EDUCATIONAL PROBLEMS by Vladimir I. Zagvyazinsky, Alfia F. Zakirova

“…The methodological requirements to the formulation of the scientific hypotheses are described. The probable logic errors of the are characterized. It is given the samples of fundamentally new scientific and pedagogical hypotheses suggested by well-known Russian scientist during the last decades and which have proved its constructivemodified possibilities. …”
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State and prospects of basic computer training in engineering education by O. G. Arkhipov

“…Special role of the structured programming technology is mentioned, the use of which allows you to effectively develop easy understood algorithms and computer programs with a minimal number of errors.Particular attention is drawn to the serious methodological support in the 80th (the last century), the basic computer training of students by the Ministry of Higher Education of the USSR and the Research Institute of Higher School Problems. …”
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Scientific-methodological knowledge and its development in the educational process by S. A. Gilmanov, A. V. Mironov, V. A. Mishchenko

“…However, in most of the educational and scientific works created by students (course projects, final qualification papers, etc.), methodological provisions are formulated with errors; descriptions of the organisation of research, interpretation and design of their results are unsatisfactory. …”
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Nurses’ assessment of artificial ıntelligence chatbots for health literacy education by Gulsum Asiksoy

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PROJECT-BASED TRAINING AS A MODERN TREND IN ENGINEERING EDUCATION by Raisa M. Petruneva, Olga V. Toporkova, Valentina D. Vasilyeva

“…In the present state of things the in-depth examination of the accumulated experience and errors and a forecast of the future of engineering education are needed in order to address current and upcoming industry employment requirements.…”
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Optimizing physical education schedules for long-term health benefits by Liang Tan, Qin Chen, Jianwei Wu, Mingbang Li, Tianyu Liu

“…IntroductionPhysical education (PE) plays a vital role in promoting long-term health and wellness among students. …”
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Machine Learning Techniques and Recommender Systems for Large Educational Data by Ammar Mohammed, Murtadha Hamad

“…This study proposed machine learning (ML) models such as K Nearest Neighbor (KNN) and Singular Value Decomposition (SVD) while this paper utilizing evaluations of performance metrics like root mean square error (RMSE), mean absolute error (MAE), hit rate (HR), average reciprocal hit rating (ARHR), accuracy, and recall. …”
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Secure Software Engineering Education: Knowledge Area, Curriculum and Resources by Xiaohong Yuan, Li Yang, Bilan Jones, Huiming Yu, Bei-Tseng Chu

“…This paper reviews current efforts and resources in secure software engineering education, with the goal of providing guidance for educators to make use of these resources in developing secure software engineering curriculum. …”
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Cluster analysis of digital competencies among professors in higher education by Karime Chahuán-Jiménez, Eduardo Lara-Yergues, Dominique Garrido-Araya, Elena Salum-Alvarado, Paulina Hurtado-Arenas, Rolando Rubilar-Torrealba

“…Regarding the clustering analysis, specifically using the K-means clustering algorithm, four distinct clusters are identified based on the questionnaire scores, aligning with findings from Silhouette score and Quadratic error by number of clusters.DiscussionThis research reveals that professors in higher education span all four levels of competency as defined by the DigComEdu model, primarily falling within the intermediate levels of digital competencies. …”
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Architecture of an Efficient Environment Management Platform for Experiential Cybersecurity Education by David Arnold, John Ford, Jafar Saniie

“…Additionally, the software-based management and provisioning process ensures the accurate realization of lab environments, eliminating the errors commonly associated with manual configuration. …”
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How to educate English language students in the age of artificial intelligence? by Anna Włodarczyk-Czubak

“…And here it is still the necessity to educate translators, without whom the translated text may contain many errors in both grammatical and stylistic structures. …”
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Challenges and solutions for integrating artificial intelligence into transportation engineering education by NANTOI, Vadim, NANTOI, Daria, CEBAN, Dumitru

“…The research aims to explore the complexities of student learning by acknowledging variations in reasoning processes, errors, and cognitive dilemmas influenced by known and unknown variables in their educational journey. …”
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Towards Computer-Supported Functional Modelling in Engineering Design Education by Tomislav Martinec, Filip Valjak, Nikola Horvat, Nenad Bojčetić

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Improving data processing in medical education through machine learning by N. Shyndaliyev, A. Orynbayeva, K. Shadinova, A. Barakova, N. Nurmukhanbetova

“…The ML model achieved a coefficient of determination (R2) of 0,85 with low prediction errors (MAE=0,45, MSE=0,30, RMSE=0,55). Statistical tests supported the hypothesis that structured ML education enhances medical students’ competencies, suggesting that future healthcare professionals trained in ML can better leverage data-driven decision-­making for improved patient care. …”
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Health Sciences Students’ Satisfaction with Quality of Online Distance Education by Syeda Zarreen Raza, Sanaa Ahmed, Ziyad Sanaullah, Zunairah Rais, Zahid Memon, Saad Saleem

“… Objective: To assess the students' satisfaction with the online distance education at constituent institutes of a Medical University of Karachi. …”
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