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Artificial Intelligence and Gastronomic Tourism: A New Frontier for Culinary Experiences
(2025)
Quezada-Sarmiento, Pablo Alejandro
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Patricia Marisol Chango- Cañaveral
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Núñez-Naranjo, Aracelly Fernanda
Artificial Intelligence (AI) has become a key driver of innovation in the gastronomic tourism industry, significantly transforming traveler experiences and optimizing business operations. In customer service, AIpowered tools such as chatbots, virtual assistants, and intelligent video call systems-fueled by Natural Language Processing (NLP) and machine learning-offer fast, accurate, and tailored responses that enhance user satisfaction and reduce wait times. From a security and risk management perspective, AI enhances surveillance systems at gastronomic destinations by analyzing real-time data from sensors and cameras. This capability supports early threat detection, the identification of suspicious behaviors, and the implementation of preventive measures, ensuring safer environments for tourists. Moreover, AI enables hyperpersonalized travel experiences through the analysis of large datasets. Predictive analytics and advanced market segmentation allow businesses to provide highly targeted culinary recommendations based on travelers' preferences and behavioral patterns. This strengthens customer loyalty and competitive differentiation. AI not only streamlines operational efficiency within gastronomic tourism but also elevates the quality, personalization, and safety of the services provided. As its adoption continues to grow, AI represents a strategic opportunity to enhance sustainability and innovation in the sector, positioning itself as a cornerstone of modern tourism development. © 2025 IEEE.
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Challenges and Opportunities of Artificial Intelligence in the Media: A Theoretical Approach
(2025)
Londoño Proaño, Cristián
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Buele, Jorge
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.
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Impact of Machine Learning on the Development of Mathematical Operations Using Scratch
(2025)
Cabrera López, Julio Rafael
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Castillo Salazar, David Ricardo
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Diana, Peñuela
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Darío Castillo Salazar
This 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 skills
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Application of Machine Learning for the Development of Logical-Mathematical Thinking in Basic Education Students
(2025)
Diana, Peñuela
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Castillo Salazar, David Ricardo
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Cabrera López, Julio Rafael
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Dario Castillo Salazar
The 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 education
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Adaptive Learning Environments: Integrating Artificial Intelligence for Special Education Advances
(2024)
Jadán Guerrero, Janio
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Karla Tamayo-Narvaez
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Elena Méndez
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María Valenzuela
Students with special educational needs are confronted with various barriers that restrict their learning and performance in the educational environment. The lack of accessible and adapted educational resources tailored to their needs based on their disability negatively impacts their ability to interact effectively with both teachers and peers. In this context, Artificial Intelligence emerges as a promising solution to overcome some of these educational barriers by offering personalized tools, speech recognition technologies, and text-to-voice conversion technologies that allow students with disabilities to communicate seamlessly. Artificial Intelligence not only addresses the challenges mentioned previously but also opens up new possibilities for more effective learning and an enriching educational experience. The integration of these technologies could represent a significant advancement towards the creation of more accessible and egalitarian educational environments. This article focuses on identifying challenges from the perspective of teachers and parents, proposing the implementation of adapted educational resources using artificial intelligence. To establish a reference base for the needs and problems of students, a survey was conducted with the participation of 66 teachers and 112 parents in two developing countries, Ecuador and Guatemala. The results obtained offer an opportunity to improve student education by identifying possible solutions in adapting resources and promoting inclusion through the implementation of Artificial Intelligence. A recurring challenge in both countries is the lack of adequate infrastructure, specialized tools, inclusive methodologies, and software to facilitate the learning process in educational institutions.
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Enhancing Scientific Research and Paper Writing Processes by Integrating Artificial Intelligence Tools
(2024)
Jadán Guerrero, Janio
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Patricia Acosta Vargas
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Nivia Esther Gutiérrez-De Gracia
This article provides a systematic guide for integrating Artificial Intelligence (AI) into many facets of scientific writing process. By analyzing various AI platforms that facilitate efficient topic identification, the formulation of investigative questions, the analysis of previous literature, data processing, structuring and presentation of manuscripts, the successful case of a training program implemented at a university in Ecuador. This initiative involved 84 academics, of which 66 managed to complete their scientific articles, with 35 of these works accepted at a recognized scientific conference. This case highlights the relevance of a deep understanding of the potential of AI to complement and enhance human research and writing capabilities. It seeks to provide an integrative approach to scientific research that optimizes the benefits of this emerging technology. This research emphasizes the need to promote writing where ethics and originality standards are the priority, thus ensuring the integrity and authenticity of the knowledge created in the scientific community.
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Artificial Intelligence: a reality in Copyright Law
(2024)
Miranda, Alba
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Romero Romero, Clara Daniela
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Paredes Fuertes, Fernando
Introducción. El artículo examina la protección de obras generadas por inteligencia artificial (IA) bajo el derecho de autor, considerando la propiedad intelectual tradicional, la responsabilidad social y los derechos morales. Su objetivo es evaluar la adecuación de la legislación actual de propiedad intelectual ecuatoriana frente a los desafíos de la era de la IA, identificando problemas y desafíos legales en la resolución de conflictos de derechos de autor y propiedad intelectual. En particular, se destacan los vacíos legales en la legislación ecuatoriana ante los avances tecnológicos y la necesidad de proteger los derechos individuales y colectivos en el reconocimiento de la propiedad de autor. Metodología. La metodología cualitativa utilizada incluye métodos bibliográficos, documentales, sintéticos, deductivos e históricos para comprender los alcances legales de la propiedad de autor y diferenciarlos de la IA, evaluando su valor mercantil en la reproducción. Resultados. Los resultados principales de la investigación identifican desafíos legales emergentes en la protección de derechos de autor en el contexto tecnológico y ofrecen recomendaciones sobre la regulación necesaria para proteger estos derechos en el entorno social. Conclusión. La legislación ecuatoriana debe buscar un equilibrio en la protección del derecho de autor y la creatividad e innovación.
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Future Prospects for the Application of Artificial Intelligence in Judicial Management
(2024)
Diego Andrade A
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Moisés Toapanta T
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Zharayth Gómez D
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Enrique Mafla G.
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Antonio Orizaga T
The problems in judicial management persist regarding the applicability of artificial intelligence (AI) systems. Currently, they have become a challenge as they lack legal foundation and legitimacy, given that to date, only a minimal number of countries have laws addressing the supervision, regulation, management, and control of AI system applicability in judicial settings. The objective of this research is to analyze the future perspectives of the applicability of Artificial Intelligence in Judicial Management. The method employed will be exploratory research to analyze information from reviewed articles, legal reports, and official websites. Possible indicators of issues in AI applicability in judicial management, current and future trends of AI in judicial management, and an appropriate conceptual model for AI applicability in judicial management were identified. It was concluded that the application of artificial intelligence in judicial management remains a challenge and an ongoing issue because it currently does not inspire confidence in decision-making processes.
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Artificial Intelligence and Assistive Technologies: A Systematic Review of Educational Applications for Disabilities
(2025)
Arias Flores, Hugo Patricio
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Valencia-Aragón, Kevin
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Tania Calle-Jimenez
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Sandra Sanchez-Gordon
The global population of individuals with disabilities, representing 15% of the world’s people, faces significant challenges in accessing higher education due to insufficient accessibility and persistent discrimination. This paper aims to evaluate the integration of artificial intelligence (AI) and assistive technologies in higher education to improve learning experiences for students with disabilities. Despite advancements in AI, only a small proportion of students with disabilities report satisfaction with existing inclusion efforts. Through a systematic review of the scientific literature from 2019 to 2023, this study examines the current use of AI in higher education, focusing on its application to enhance accessibility, personalized learning, and support for students with disabilities. The research highlights key areas such as intelligent tutoring systems, adaptive learning, and the role of educational technologies in fostering inclusion. While AI and assistive technologies hold great potential, challenges including ethical concerns, biases, and the low adoption rate of assistive technologies remain. The findings emphasize the need for further research to ensure that AI fosters genuine inclusion rather than exacerbating exclusion, urging continued efforts in developing more accessible educational environments for all students.
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Promoting Water Culture Through Augmented Reality and Gamified Experiences
(2025)
Jadán Guerrero, Janio
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Arias Flores, Hugo Patricio
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Piedra Ansatuña, Mario
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Marcos Chacón-Castro
This article examines the design and development process of interactive and immersive learning environments focused on conservation, management and responsible use of water. Using the Game Thinking methodology, interdisciplinary groups were formed, consisting of students from three different Master’s programs, along with designers, programmers, experts from the Quito Metropolitan Public Water and Sanitation Company (EPMAPS), and members of Foundation for the Support of Sustainable Development in Ecuador (FADSE). A total of 135 participants contributed diverse perspectives in education, user experience, technology, and sustainability. The objective was to develop proposals that would connect with children, young people, and adults to raise awareness about responsible water use, the consequences of waste, the contamination of water sources and simulate the consequences of water decisions in urban and rural environments. The study demonstrated that master’s students can play a significant role in addressing real urban challenges and that, when properly guided, their ideas can lead to innovative solutions aligned with emerging technologies. The developed solutions were evaluated by the students themselves alongside their peers, revealing that interactive tools not only promote active participation but also strengthen the emotional connection with the new water culture. Furthermore, the project emphasized accessibility, scalability, and cultural relevance, ensuring inclusive and sustainable educational solutions. In the future, the study will aim to assess the impact of these initiatives on public awareness and behavior.
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