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Item type:Publication, Artificial Intelligence and Gastronomic Tourism: A New Frontier for Culinary Experiences(2025); 15 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Challenges and Opportunities of Artificial Intelligence in the Media: A Theoretical Approach(2025); This study explores the challenges and opportunities presented by artificial intelligence (AI) in the media, specifically in newspapers, radio and television. AI is transforming these industries by automating processes such as news generation, transcription, and content personalization. The aim of this article is to identify, explore and analyze the main advances of AI in the media industry. In the end, the challenges and the effects on audiences are raised. The methodology employed includes a descriptive and analytical approach, based on the analysis of annual reports and case studies of media that have implemented AI. Among the results obtained, the growth in the use of AI to generate automated and personalized content, as well as the integration of virtual presenters, stands out. However, concerns also emerge about the spread of misinformation and the ethical handling of personal data. In conclusion, AI offers significant operational advantages for the media, but it is crucial to balance its implementation with strong ethical management to ensure information quality and protect the rights of audiences.21 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of Machine Learning on the Development of Mathematical Operations Using Scratch(2025); ; ; Darío Castillo SalazarThis research focused on analyzing the impact of Machine Learning (ML) applied through the Scratch platform on the development of mathematical operations in secondary school students. The quantitative, descriptive, and field-based study was conducted with a sample of 30 students from public schools in educational zone three. A survey technique was used with a questionnaire validated by education experts, and the instrument’s reliability was measured with a Cronbach’s Alpha of 0.89. The results obtained from pretest and posttest, as well as the application of the t-student test and ANOVA analysis, demonstrated that the experimental group, which used Scratch with ML, showed significant improvements in their mathematical performance compared to the control group. Additionally, the impact analysis based on Cohen’s D revealed a considerable effect on academic performance, reinforcing the effectiveness of the proposal. These findings not only highlight the importance of incorporating emerging technologies in education but also suggest that the use of interactive and adaptive approaches can optimize the learning of mathematics. The research concludes that integrating ML and Scratch in mathematics education is an effective tool for enhancing students’ understanding and developing critical skills11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Application of Machine Learning for the Development of Logical-Mathematical Thinking in Basic Education Students(2025); ; ; Dario Castillo SalazarThe research involves upper basic education students in arguments related to Scratch software, focusing on teaching mathematics from the perspective of the theory that suggests learners construct their own knowledge through experience and reflection. Using Scratch and artificial intelligence processes to generate projects promotes active and meaningful learning. From this perspective, the goal is for students to develop logical-mathematical thinking, which is essential for analyzing, evaluating, and effectively applying information, thereby strengthening creativity and problem-solving skills centered on knowledge assessment. This approach allows for the application of theoretical and practical AI in educational software applications. The results indicate that mathematical competencies improve with the use of Scratch software. Additionally, the research identifies students’ skills and interest in the potential of AI technologies to enhance the understanding of computational mathematical concepts. The research concludes that the integration of the AI module in Scratch strengthens mathematical competencies in the field of education26