Effect of the Mastery Learning Approach Using Artificial Intelligence on Learning the Skills of Ball Rolling and Dribbling in Futsal for Female Students

The objectives of these quasi-experimental methods were to improve academic performance in geometry using a mastery learning approach through GeoGebra for mathematics teacher students and to investigate students’ satisfaction with using a mastery learning approach through GeoGebra in geometry. The participants were divided into two groups, involving 30 and 29 students, respectively. The experimental group with 30 students received instruction in the mastery learning approach through GeoGebra, while the control group received a traditional education in learning geometry. At the end of the lessons, post-tests were administered to both groups. The statistical difference between the participant’s post-test academic performance in the experimental and control groups was analyzed with an independent sample t-test after examining the assumptions of this test, namely normality and homogeneity in each group, while percentages and means were used to assess the satisfaction of the experimental group. The instruments used were the Geometry Achievement Test (GAT), which consists of 2D and 3D dimensions, and a questionnaire with satisfied students. Results of the study indicated that the scores of academic performances in the experimental group were significantly higher than those of the control group. Analysis of the questionnaire responses indicated a positive overall satisfaction with using a mastery learning approach through GeoGebra in geometry. On the other hand, instruction with a mastery learning approach through GeoGebra supported students’ learning of these subjects meaningfully and conceptually.

Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

Can Artificial Intelligence (AI) assist in the diagnosis of oral mucosal lesions and/or oral cancer?

Role of Artificial Intelligence (AI) in vegetable production, emphasizing its potential to address critical challenges such as climate change, population growth, and resource scarcity. AI technologies, including machine learning, computer vision, and robotics, are revolutionizing agricultural practices. AI-driven innovations in crop management, pest control, and soil analysis enhance productivity, reduce labour costs, and ensure sustainable farming practices. Notable advancements include precision spraying by Blue River Technology, significantly reducing herbicide use, and deploying autonomous tractors and drones for efficient farm management. AI applications, such as PEAT's Plantix and Trace Genomics, provide accurate diagnostics for soil health and pest management. Satellite-based solutions like Farm Shots and aWhere offer real-time crop monitoring and weather prediction, optimizing resource use and mitigating risks. The review highlights the importance of making AI technologies more affordable and accessible to farmers, particularly in developing regions. Collaboration between researchers, industry stakeholders, and policymakers is crucial to harness AI's full potential in agriculture. As AI continues to evolve, its integration into vegetable production promises a more efficient, resilient, and sustainable agricultural sector, contributing to global food security and environmental preservation. The aim of the study is to evaluate the impact and effectiveness of Artificial Intelligence (AI) in vegetable production, focusing on how AI technologies enhance productivity, efficiency, and sustainability. The objectives are to assess current AI applications, analyze their benefits and challenges, and provide recommendations for future improvements and wider adoption in the agricultural sector. The research methodology for the study on the role of Artificial Intelligence in vegetable production involves a comprehensive literature review of existing AI technologies and their applications in agriculture, coupled with the analysis of case studies to evaluate real-world implementations. Additionally, expert interviews and surveys with farmers and industry professionals will be conducted to gather insights on the benefits, challenges, and future potential of AI in this sector. The theoretical implications of the study on the role of Artificial Intelligence in vegetable production include advancing the understanding of AI's capabilities in agricultural optimization and contributing to the academic discourse on sustainable farming practices. Practically, the study provides actionable insights for farmers and agribusinesses on implementing AI technologies to enhance crop yields, reduce resource wastage, and improve overall farm management efficiency.

The study aims to identify artificial intelligence technologies and reflect their use on criminal investigation and justice. The importance of the study lies in the growing use of AI technologies in the face of crime and reducing it through the use of AI techniques in the analysis of large amounts of data as quickly as possible with high accuracy and craftsmanship. The problem with the study is to answer the question of what is the role of artificial intelligence in reducing crime? The researchers used the analytical descriptive approach. The two researchers reached a number of conclusions, the most important of which being: artificial intelligence enhances the ability of judicial control officers to play a preventive role in preventing crimes from occurring through predictability and taking measures to prevent them. Artificial intelligence (AI) is a means of enhancing the evidence provided by the Judicial Control Officer at the investigative and evidentiary stage, reflecting the strength of criminal evidence and achieving justice. AI technologies enhance the stability of the public system. The researchers recommend: calling on government and private institutions in Palestinian society to raise citizens’ awareness of the benefits of artificial intelligence technologies and their importance in combating crime. To call on the Palestinian legislator to enact a law regulating the production, development and use of artificial intelligence technologies, in accordance with privacy and human rights. Call on law enforcement agencies in Palestine to increase the level of training of their cadres in the use of AI technologies as they continue to evolve. Call on the Palestinian legislature to open up international cooperation in the use of artificial intelligence techniques in the fight against crime and the exchange of information, in particular crime, electronic and transnational.

The purpose of the study. Modern education is undergoing significant changes. Artificial intelligence technologies are being introduced into the educational practice of universities, including pedagogical universities. These technologies have great opportunities. However, there is a need for a deeper study of the influence and role of artificial intelligence not only in the educational process of the university as a whole, but also in the specifics of teaching individual disciplines, including programming for future teachers of computer science The problem of using artificial intelligence in teaching students of pedagogical universities is urgent. The article is devoted to the substantiation of the role of artificial intelligence in the process of teaching programming to students, future teachers of computer science and the study of the possibility of its effective application in the real educational process.Materials and Methods. The analysis of scientific publications in the field of using artificial intelligence in the educational process of higher education institution and the analysis of scientific and methodological literature on teaching programming to students of pedagogical universities were performed. Artificial intelligence tools used in professional software development have been analyzed. The experiment of using the online development environment Replit with artificial intelligence technology in Python programming course for students of pedagogical university was carried out. A questionnaire survey of students at the beginning and after the completion of the course was carried out.The results of the study. Traditionally, the author's e-learning course developed in the Moodle environment, programming simulator with automated solution checking, IDLE Python and online compilers are used in teaching programming to 1st year students of Krasnoyarsk State Pedagogical University. These learning tools were supplemented with Replit online development environment with artificial intelligence technology. According to the results of the experiment it is shown that the use of online development environment Replit with artificial intelligence technology in teaching programming to students of pedagogical university helps in writing and debugging code, makes the course less complex, this is confirmed by the results of questionnaire survey of students, also showing that most students give their preference to this development environment. At the end of the students' mastering of the programming course there is a significant growth in self-assessment of the programming level, which is confirmed by the learning results.Conclusion. The role of artificial intelligence in the process of teaching students programming can be significant and useful both for the instructor and the students. In particular, the use of artificial intelligence helps the student in writing and debugging code, simplifies the process of explaining to the instructor the ways of algorithm development and program compilation. The example of the integrated online environment Replit, which has built-in artificial intelligence, shows its possibilities for effective teaching students programming.As a result, the article confirms the need for further research and development of methodological support for the successful integration of artificial intelligence in the process of teaching students of pedagogical universities in the field of programming

Masters or Slaves? AI and the Future of Humanity

This study examines AI's role in enhancing guest satisfaction and efficiency in the hotel industry. Employing a mixedmethods approach, it analyzes guest feedback and interviews staff at AI-integrated hotels. The findings aim to identify key AI applications that boost satisfaction and efficiency, and outline challenges and best practices for AI implementation. This research offers a holistic view of AI's influence on hospitality, enriching understanding and guiding industry practices. As the hotel industry continues to evolve, the integration of artificial intelligence (AI) technologies has become increasingly prevalent, aiming to enhance guest experience. This research investigates the impact of AI integration on guest experience enhancement within the hotel industry. The purpose of this study is to comprehensively explore how AI technologies influence various aspects of guest satisfaction in hotels. A mixed-methods approach is employed, combining quantitative analysis of guest feedback data with qualitative methods by interviewing the guests staying in the hotel. Data is collected from a diverse range of hotels that have implemented AI technologies, allowing for a nuanced understanding of the impacts across their establishments. This research is expected to provide valuable insights into the multifaceted effects of AI integration in the hotel industry. Specifically, it aims to identify the specific AI applications that most significantly contribute to guest satisfaction levels. Additionally, the study seeks to uncover potential challenges and limitations associated with AI implementation, as well as best practices for successful integration. This topic lies in its comprehensive examination of AI's impact on both guest experience within the hotel industry. While previous research has explored AI's role in hospitality, few studies have undertaken such a holistic analysis, considering its implications for guests. By addressing this gap, this research contributes to a deeper understanding of the transformative effects of AI in the hotel sector, providing practical insights for industry practitioners and stakeholders.

Applying artificial intelligence to the use of ultrasound as an educational tool: A focus on ultrasound-guided regional anesthesia.

In an increasingly complex and unpredictable world, resilience-the ability to withstand and recover from adverse conditions is essential across various sectors. This research paper investigates the transformative potential of artificial intelligence (AI) in enhancing resilience across multiple domains. We explore how AI technology can be utilized to develop resilient infrastructure, providing advanced predictive maintenance and real-time monitoring capabilities that ensure robustness and longevity. The study examines the role of AI in improving disaster response, offering rapid data analysis and decision-making support to enhance emergency management outcomes. In climate change, AI-driven strategies are assessed for their effectiveness in fostering climate resilience, including predictive modeling of extreme weather events and optimizing resource allocation. The paper also discusses AI applications in healthcare resilience, such as enhancing diagnostics, patient care, and operational efficiency during crises. Business continuity and crisis management are examined, highlighting AI's capability to anticipate disruptions and maintain operational stability. The paper emphasizes the importance of strengthening cybersecurity resilience using AI to detect and mitigate threats proactively. AI's role in enhancing community and social resilience is analysed, particularly in supporting vulnerable populations and fostering social cohesion. Additionally, we explored AI-powered solutions for urban resilience, focusing on smart cities and sustainable development. The study also covers AI's contributions to environmental and ecological resilience, resilient supply chain management, and resilience in the hospitality and tourism industry. Finally, we investigated AI's potential in fostering psychological resilience, providing personalized mental health support and stress management tools. Through these diverse applications, the paper underscores AI's critical role in building a resilient future.

<p class="Abstract"><strong>Abstract:</strong> In today's modern era, the world of education has experienced changes in the learning system. In recent years, artificial intelligence has emerged as a transformative force in the education system in the modern era. This research aims to analyze the role of artificial intelligence in transforming learning in the modern era. The method used in this research is library research. The data collected is in the form of journal articles, research reports, and documents related to the topic discussed in this research. The analysis in this research uses content analysis. The research results show that the role of artificial intelligence in the learning process has a significant role. The use of artificial intelligence technology can provide an independent learning experience. Students can search for material according to their needs, and learning methods using artificial intelligence technology can increase student involvement, thereby creating high motivation in students. Therefore, artificial intelligence has great potential in transforming learning systems in the modern era. On the one hand, artificial intelligence can be a solution in the learning process in the modern era. And on the other hand, artificial intelligence can be a challenge in the world of education. Thus, to make maximum use of artificial intelligence requires caution regarding academic ethical issues.</p>

The use of AI-based technologies in the process of researching and writing up findings has garnered a lot of attention in the world of education. This research investigates the use of AI techniques in the field of educational research as well as the repercussions of doing so. The purpose of this article is to offer advice and suggestions to help researchers navigate the changing environment of research writing in the age of artificial intelligence (AI). The advantages of using AI tools are investigated in this study. Some of these benefits include higher research efficiency, enhanced research quality, expanded accessibility, and chances for skill development. Additionally, it covers ethical concerns such as the privacy of data and the biases introduced by algorithms. In addition, the research highlights the need of striking a balance between the automation that can be achieved through AI and the knowledge that can only be obtained from humans. This means ensuring that AI tools supplement critical writing abilities rather than replacing them. The study suggests that researchers become familiar with AI tools, evaluate the capabilities of such tools, and choose the tools that are the most fit for certain research objectives. This will help researchers fill the shortcomings that were observed. In addition to this, it recommends the formulation of standards for the ethical use of AI, as well as the encouragement of activities that build skills, such as critical thinking and academic writing, to be practiced concurrently with the utilization of AI technologies. In addition, the research highlights the significance of promoting cooperation and the exchange of information within the research community, advocating for accessibility and fairness, and continually analyzing and adjusting to improvements in artificial intelligence technology. Educational researchers may successfully exploit artificial intelligence (AI) technologies in research writing, improve research methods, and contribute to the growth of the field if they adopt the recommendations offered in this study and implement them.

This research examines the impact of artificial intelligence (AI) technology, specifically using the Canva application, on English language learning at SMP Negeri 3 Baranti. The study employs a quantitative approach with an experimental design, involving two groups of eighth-grade students: an experimental group using AI-powered Canva for learning activities and a control group following traditional teaching methods. Over an eight-week period, the experimental group engaged with various AI-enhanced educational tools, including learning videos, interactive posters, and quizzes. Data were collected through English skills tests and student questionnaires, and analyzed using descriptive and inferential statistics, including independent t-tests. The findings indicate that students in the experimental group showed significant improvement in their English language skills compared to the control group. Additionally, these students reported higher levels of motivation and engagement in the learning process. The study concludes that integrating AI in educational tools like Canva can enhance the quality of English language education. It recommends that educational institutions consider adopting AI technologies to create a more engaging and effective learning environment. Further research is suggested to explore the long-term effects of AI in education and its adaptation to individual student needs.

Teaching method is a major factor that affects students’ motivation to learn physics. This study investigated the effects of using mastery learning approach (MLA) on secondary school students’ motivation to learn physics. Solomon four non-equivalent control group design under the quasi-experimental research method was used in which a random sample of 4 co-educational secondary schools was obtained in Kieni East Division of Nyeri District in Kenya. The 4 schools were randomly put into 4 groups. Each school provided 1 Form Two class for the study; hence, a total of 161 students were involved. The students were taught the same physics content. In the experimental groups, MLA teaching method was used while the regular teaching method was used in the control groups. The researchers trained the teachers in the experimental groups on the technique of MLA before the treatment. Two groups were pre-tested prior to the implementation of the MLA treatment. At the end of treatment period, all the 4 groups were post-tested using a validated Students’ Motivation Questionnaire, whose reliability coefficient was 0.76. Data were analysed using the t test, analysis of variance and analysis of covariance. The results of the study show that students exposed to MLA have significantly higher motivation than those taught through regular methods. Gender has no significant influence on their motivation to learn physics. The researchers conclude that MLA is an effective teaching method in motivating students; hence, physics teachers should incorporate it in teaching.

This study aimed at finding out the effects of Mastery Learning Approach (MLA) on students' achievement in Physics. The study was Quasi-experimental and Solomon Four Non-equivalent Control Group Design was used. The target population comprised of secondary school students in Kieni East Division of Nyeri District. The accessible population was Form Two students in district co-educational schools in the division. Purposive sampling was used to obtain a sample of four co-educational secondary schools. Each school provided one Form Two class for the study hence a total of 161 students were involved. The students were taught the same Physics topic of Equilibrium and Centre of Gravity. In the experimental groups MLA teaching method was used while the Regular Teaching Method (RTM) was used in the control groups. The experimental groups were exposed to MLA for a period of three weeks. The researchers trained the teachers in the experimental groups on the technique of MLA before the treatment. Pretest was administered before treatment and a post-test after three weeks treatment. The instrument used in the study was Physics Achievement Test (PAT) to measure students' achievement. The instrument was pilot tested to ascertain the reliability. The reliability coefficient α was 0.76. Experts ascertained their validity before being used for data collection. Data was analysed using t-test, ANOVA and ANCOVA. Hypotheses were accepted or rejected at significant level of 0.05. The results of the study show that MLA teaching method resulted in higher achievement but gender had no significant influence on their achievement. The researchers concludes that MLA is an effective teaching method, which physics teachers should be encouraged to use and should be implemented in all teacher education programmes in Kenya.