International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE)
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The Influence оf E-Sports оn Economy Education аnd Cultural Communication
Get PDFThe growing popularity of eSports has attracted significant attention due to its potential influence beyond the realm of entertainment. This paper investigates the effects of eSports on the economy, education, and cultural communication. By exploring how eSports platforms and events provide avenues for generating profit, facilitating learning, and fostering cultural exchange, the study seeks to reveal the diverse impacts of digital gaming on both business and education, as well as its role in global communication This study employs a descriptive-qualitative methodology, examines case studies to evaluate the industry’s economic prospects, educational advantages, and the cross-cultural connections promoted by eSports. The results demonstrate that eSports is a versatile platform that not only improves digital literacy and collaboration skills but also acts as a conduit for cultural understanding in an increasingly interconnected world. Furthermore, economic revenues from e-sports continue to grow annually. Grasping these dynamics is essential for educators, policymakers, and stakeholders aiming to harness digital gaming for economic, educational and cultural progress
The Role of Artificial Intelligence in Judicial Systems
Get PDFThe problem we tried to solve relates to the application of artificial intelligence in the legal and judicial system. Given the fact that artificial intelligence (AI) is increasingly taking precedence in various areas of human existence and work, it is an undoubted fact that the legal and judicial systems have not been left out either. It is precisely for this reason that the current state of the use of artificial intelligence in the judicial system, as well as potential new solutions, was first reviewed. In addition to the current one, we focused on the application of artificial intelligence in the legal and judicial system, especially in the domain of decision-making. In this regard, in this paper we propose the use of explainable artificial intelligence, which increasingly takes place when dealing with systems in which the precision and clarity of the parameters on the basis of which a decision is made are of great importance. Looking at the advantages of using explainable artificial intelligence in the decision-making process, one gets the impression that the application of such a model of neural networks can provide the necessary and sufficient conditions for the legal system to accept the use of artificial intelligence in decision-making in the judicial system
Constructivist Feedback-Based Assessment Method as Key for Effective Teaching and Learning: The Development and Impact on Mechanical Engineering Students’ Adaptive Capacity, Decision Making, Problem Solving and Creativity Skills
Get PDFEducators must conduct assessments in their learning; it determines students’ weaknesses in the teaching material they follow during learning. Unfortunately, the implementation of assessment by educators was not optimal, and the weakness was that the existing assessment method was only fixated on assessing students without providing feedback on the assessment. At the same time, this feedback was essential for students in learning, which can help learners assess performances that cannot be seen and felt by themselves, as well as a tool to motivate students, notification or information, and reinforcement. Therefore, this research aimed to develop a Constructivist Feedback-Based Assessment Method for learning assessment. The method used in this research was Research and Development (R&D). After development, the Constructivist Feedback-Based Assessment Method for learning assessment will be implemented to see its effect on students’ adaptive capacity, decision-making, problem-solving, and creativity skills. Independent sample t-test and linear regression analysis were used as data analysis techniques describing the impact of the assessment on those skills. The results showed that the Constructivist Feedback-Based Assessment Method has five stages: preparing the assessment material, diagnostic assessment, assessment for learning, assessment of learning, and reflection. It effectively affects students’ skills, such as adaptive capacity, decision-making, problem-solving, and creativity. It can be concluded that the Constructivist Feedback-Based Assessment Method can improve students’ adaptive capacity, decision-making, problem-solving, and creativity. Novelty in this research was the existence of constructivism integrated into feedback-based assessment, which the existing assessment has not highlighted the constructivist side of assessment
Metacognitive Strategies for Mathematical Modeling with Engineering Groups of Students: Adaptation and Validation of a Questionnaire
Get PDFA sequential exploratory mixed-methods study is implemented to develop an instrument that allows for the evaluation of the metacognitive strategies used by engineering groups of students when solving mathematical modeling problems. The findings of the qualitative study guided by observations and interviews reveal the use of metacognitive strategies of ‘planning’, ‘monitoring and, if necessary, regulation’, and ‘evaluation’. In this article, we present the final categories of the qualitative analysis and discuss how these data were shaped into a theoretical construct and items of an instrument to measure metacognitive strategies. The psychometric properties of the instrument are analyzed, and it is argued that it has a similar interpretation among males and females, as there are no significant differences in these results. The development of the present study demonstrates how the qualitative method can support the adaptation of an instrument to measure metacognitive strategies, thus contributing to validity and applicability
Legal Basis of Educational Processes of Artificial Intelligence Algorithms in E-tourism
Get PDFE-tourism has become a key component in the tourism industry and allows travelers to easily access information about destinations and services via the Internet, facilitating their travel planning process. Through e-tourism, travelers can research destinations, plan trips, book accommodations, purchase transportation tickets, and explore tourist attractions through online resources. Also, this area helps tourism businesses to effectively promote their services, communicate with clients and manage reservations. E-tourism represents the integration of information and communication technologies in the tourism sector. This concept encompasses the application of digital technologies such as the Internet, mobile applications, online reservation systems, web platforms and social media to improve aspects of travel and tourism. The legal foundation of educational procedures utilizing artificial intelligence algorithms in e-tourism holds significant importance because of the multitude of potential legal complexities and obstacles that could emerge. The Republic of Serbia, like many other countries, is working on improving its regulations in order to enable the development of e-tourism and at the same time ensure the protection of the interests and safety of travelers
Parental Supervision and Control as a Predictive Factor of Juvenile Delinquency
Get PDFParental control and supervision is considered one of the key factors in raising children. There are numerous studies and researches in the literature that have tried to prove the correlation between parental control and juvenile delinquency. The results of these studies have varied, sometimes confirming and sometimes denying a direct link between parental control and certain forms of juvenile delinquent behavior. However, the modern child and family go through a new socialization process that brings challenges for both children and parents. The goal of our paper is to clarify the terminological confusions present in this area and highlight the actuality of the issue of parental control over the behavior of minors. Through a review of existing domestic and foreign scientific literature, using quantitative and qualitative content analysis, comparative analysis and comparative and historical methods, we want to point out the importance of parental control and supervision in shaping the behavior of minors, with special reference to the manifestation of delinquent patterns. The results of our research indicate a significant correlation between different forms of parental control and supervision with the behavior of minors, with noticeable changes compared to traditional methods of control. The obtained results emphasize the need for educating and advising parents about modern achievements in this area, as well as providing support in adapting to new trends and security challenges, including the impact of information technology, social media and other factors that are now part of everyday life and were not present in the past. The practical importance of our research implies that the theoretical conclusions can be used as a basis for further research in the field of parental control and supervision, as well as juvenile delinquency, with the aim of developing measures for its prevention
Basic Needs Satisfaction and Conscious Motives for Sports Activities of Juniors
Get PDFAthletic motivation is actively studied in the sports psychology. The study of the juniors’ motivation is crucial for exploring the reasons to quit the sport, the fac-tors that reduce an athlete’s productivity, the principles of building support pro-grams for young athletes. The purpose of the study was to study the basic needs satisfaction and the hierarchy of young athlete conscious motives. The study involved juniors, in the amount of 133 people aged 13-16 years (M=15.1; SD=1.6; 59.4% men). The following methods were used: the essay “Why I came into sports”, “Method of paired comparisons” by V.V. Skvortsov (modified by I.A. Akindinova), as well as statistical methods (descriptive statistics, W - Kendall, Chi-squared test, Kruskal-Wallis H - test). Personal, professional and status conscious motives were found out to form a complex motivation for sports activities. Conscious motives for sports activities differ among juniors in various sports. The least satisfied needs are those for acceptance needs and self-expression. The type of sport does not determine the satisfaction of the junior needs. The prospect of the study is to create a model of motivation for a young athlete. The results can be used in the activities of sports institutions
Participation of Students in all Areas of Governance in Higher Education Institutions in the Light of the Literature – A Systematic Review
Get PDFThis paper presents a comprehensive methodology for conducting a systematic literature review on student participation in higher education institutions (HEIs), focusing on decision-making, student engagement, and extracurricular activities. Following PRISMA guidelines, the review uses evaluation criteria techniques to ensure the quality and transparency of information critical to the design of the paper. A search strategy utilising key terms across EBSCO and Web of Science databases identified 41 relevant articles. Each article underwent thorough analysis, addressing research inquiries about student participation in educational institutions. The review combines findings from diverse perspectives while highlighting students’ importance in decision-making and the relevance of student voices in this process. In addition, it highlights the importance of student engagement and the impact of extracurricular activities on academic success. Through such discussions, the paper emphasises the need for integrated frameworks focused on understanding student participation across higher education institutions, suggesting recommendations for optimising student involvement or participation in decision-making processes, fostering student engagement in teaching and learning, and enhancing participation in extracurricular activities. Overall, the paper highlights the multi-dynamic nature of student participation in the modern structure of higher education institutions and advocates for a holistic approach that empowers and motivates students to participate in all areas of the education system, which will go a long way in shaping their educational experiences
Educational Application of Artificial Intelligence for Diagnosing the State of Railway Tracks
Get PDFThe aim of the work is to present an innovative solution based on artificial intelligence for examining the condition of railway tracks in real time. The system, based on fuzzy logic and metaheuristics such as Fuzzy Logic, Neural Networks and Bee Behavior Optimization, combines hardware and software to provide reliable data on the technical characteristics of the railway. Installed in rail vehicles, hardware collects this data, while software uses artificial intelligence to improve operational reliability and safety. The aforementioned technology is not only useful for infrastructure diagnostics, but also for urban railways such as trams and metros, ensuring a high level of passenger safety. The introduction of artificial intelligence in the railway sector is a key step towards modernisation, improving efficiency, resource optimization and safety. Although still in its infancy, artificial intelligence already shows great potential in transforming the railway sector towards a more efficient, reliable and sustainable future
Understanding Student Attitudes toward GenAI Tools: A Comparative Study of Serbia and Austria
Get PDFThis study explores university students’ attitudes toward generative AI technology and tools in two European countries. Driven by the increasing integration of AI in education and the limited research on student perceptions, particularly in European contexts, this study aimed to understand how students view GenAI and its implications for higher education. The study employed a quantitative approach, using surveys to collect data on student attitudes toward AI across different fields of study, genders, and countries. A key innovation of this research is the development of a novel “Attitude toward AI” scale, designed to provide a robust and theoretically grounded instrument for measuring student perceptions of GenAI. The scale offers a valuable tool for evaluating the effectiveness of AI integration in education. The results showed that students’ attitudes toward AI differed significantly based on their field of study and gender. Male students in technical sciences had the most positive attitudes toward AI adoption, indicating their potential to drive positive changes in AI implementation. While the effect size was small, this finding underscores the importance of considering individual factors when designing interventions to promote AI acceptance. The study underscored how prior experience shapes positive attitudes, highlighting the need for resources to familiarize students with GenAI and its ethics. The “Attitude toward AI” scale is a significant contribution addressing the lack of reliable instruments for assessing student perceptions of GenAI, enabling deeper understanding of factors influencing students’ adoption, informing targeted interventions for different student groups. Further research is needed on GenAI’s long-term impact