EthAIca (Journal)
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Integrating Artificial Intelligence in Education: Advancing Personalized Learning Within Ethical Frameworks: An Overview
Get PDFIntroduction: Artificial Intelligence (AI) is reshaping education by facilitating adaptive, personalized, and data-informed learning experiences. Through intelligent tutoring systems, predictive analytics, and AI-powered feedback mechanisms, educators can tailor instruction to meet diverse learner needs while enhancing efficiency and engagement across both traditional and digital learning environments.Objective: this study aims to examine the effective use of artificial intelligence (AI) in education for promoting personalized learning, while upholding key ethical standards. Method: A short communication methodology was employed to synthesize recent developments in AI applications in education. Relevant literature published between 2018 and 2025 was identified through searches of databases including PubMed, Scopus, ResearchGate, and Google Scholar. Studies were selected based on criteria related to the use of AI in personalized learning, assessment, instructional design, and administrative automation. Data were thematically analyzed to evaluate the benefits, implementation strategies, and challenges associated with AI integration.Results: AI-driven tools were found to significantly enhance educational outcomes by enabling proactive (e.g., curriculum design, predictive enrollment analysis) and reactive (e.g., real-time tutoring, automated grading) engagement. Platforms like adaptive learning systems, intelligent tutoring tools, and AI-driven assessment software have enabled personalized learning experiences and eased administrative tasks. However, significant challenges persist, including concerns over data privacy, algorithmic bias, digital literacy gaps, and unequal access to technological infrastructure.Conclusion: AI technologies hold substantial promise in creating more personalized, inclusive, and effective educational ecosystems. By streamlining teaching processes and supporting learner-centered models, AI enhances both pedagogical impact and academic performance. However, ethical concerns and infrastructural barriers must be addressed to ensure responsible and sustainable adoption. Future efforts should focus on aligning AI development with equity, transparency, and accessibility in education
Artificial intelligence tools in the daily study of medical students
Get PDFThe use of artificial intelligence (AI) tools in medical education has gained relevance in recent years, offering new opportunities to optimize learning and academic management. This study examines the impact of AI on the study habits of medical students at San Gregorio de Portoviejo University, assessing both its benefits and the challenges associated with its implementation. Through a quantitative methodology, a sample of students was surveyed to determine their perceptions of the use of AI in their academic training. The results indicate a majority acceptance of these tools, highlighting their usefulness in improving autonomous learning and the organization of the study. However, the need for specific training to optimize its use was also identified. It is concluded that, although AI represents a valuable resource in medical education, its impact depends largely on access to the technology and adequate training in its use
AI in Anesthesia: Enhancing Safety Through Ethical Integration and Human Supervision -A Narrative Review
Get PDFIntroduction: Anesthesia has evolved from enormously from mysterious sleep to intelligent, personalized care and as Artificial intelligence (AI) has led to transformation of healthcare, its applications in anesthesia too has proven of late that how technology and human compassion working together can be smoother, personalized, safer and precise surgical journeys for patients. The AI is field of computer science which use various algorithms and computational resources enabling the machines to simulate human intelligence in its thought process and actions. This revolutionary technology is changing the traditional anesthesia practices of patient risk stratification, anesthesia delivery system, patient peri-operative monitoring, individualized anesthesia plans and image analysis by an automated process. However, the application of AI in anesthesia comes with its own unique limitations of limited data and its quality, lack of guidelines for ethical use, legal concerns and socioeconomic concerns. Therefore, in this review we searched human in loop approach of the hybrid models, as the future of anesthesia will likely to be shaped by a combination of artificial intelligence and human expertise rather than one replacing other. Methods: We searched PubMed, google scholar and Cochrane database search 2019-2024. The evaluation of the retrieved articles was done for effectiveness as well as limitations of AI and deep learning in the field of anesthesia.Results: The AI will enhance precision, safety and efficiency but human touch of anesthesiologist and ethical use of it will remain essential for decision making, handling complications and providing personalized empathic care. Nonetheless, its effectiveness is influenced by data quality, algorithm generalizability and the absence of standardized ethical frameworks.Conclusion: The future of anaesthesia will likely combine AI’s analytical power with anaesthetist’s expertise, ethical judgement and empathy. While AI can improve outcomes and efficiency, the human touch remains essential for decision making, complication management and personalised care
Attitude, Anxiety, and Literacy among Teacher Aspirants’ Embrace of Artificial Intelligence: Implications for Practical and Ethical Challenges in Integrating AI in Education
Get PDFAttitude, anxiety, and literacy are essential factors in determining the acceptance of artificial intelligence (AI), particularly in its integration into education. Despite their relevance, few studies have explored their mutual influence and their impact on teacher aspirants’ perspectives toward AI. This study aimed to analyze these constructs and their interrelationships through a descriptive-quantitative-correlational design. Stratified random sampling was employed to select 200 respondents from the education programs of a state university. The results indicated that teacher aspirants hold a positive attitude toward AI (M=4,19), exhibit low anxiety (M=2,44), and demonstrate very high literacy (M=6,22). Significant differences were observed in levels of anxiety, literacy, and attitudes across course programs. Furthermore, a significant interrelationship among the three constructs was established. The findings highlight the pivotal role of attitudes, anxiety, and literacy in shaping teacher aspirants’ acceptance of AI and emphasize their importance in guiding future educational integration
Benefits and challenges of using AI in heritage education
Get PDFIntroduction: This research analyzes the application of artificial intelligence (AI) in heritage education between 2019 and 2022, focusing on its benefits and challenges. Methodology: A bibliometric methodology combining quantitative and qualitative techniques is employed, using databases such as Web of Science, Scopus, and Google Scholar. The search strategy focuses on key terms such as AI, heritage education, benefits, and challenges. The data is processed with tools such as Bibliometrix and VOSviewer to identify trends, collaborative networks, and emerging themes. Results: The study provides a structured overview of the field, highlighting research gaps and future opportunities. Conclusions: The study provides a structured overview of the field, highlighting research gaps and future opportunities
Educational Intervention with Artificial Intelligence at the Maryland Educational Unit
Get PDFThe paper presented a pedagogical intervention plan focused on technological innovation through the implementation of artificial intelligence (AI) at the Maryland Educational Unit. The proposal was based on the guidelines of National Education Law No. 26,206 and UNESCO\u27s approaches, which highlighted the importance of ensuring inclusive, equitable, and quality education adapted to the challenges of the digital age. It analysed how AI, through tools such as Chat GPT, chatbots and augmented reality, offered new possibilities for personalising learning, improving teacher time management and enriching curriculum content. Teacher training was promoted as an essential axis for effectively integrating these technologies and generating real change in school practices. Digital literacy was understood as a key competence for both students and educators in a context of constant technological transformation. The research included previous experiences, such as the study by the University of Pent Flacso, which demonstrated how the use of AI enhanced 21st-century skills such as critical thinking, creativity and collaboration. It was concluded that educational change did not depend exclusively on technological tools, but on a critical and conscious reinterpretation of teaching practice. The project highlighted that AI strengthened the role of teachers as mediators and facilitators, promoting transformative education in line with the demands of a globalised world
Simplification of microservice development through low-code tools
Get PDFIntroduction: Enterprise application development has undergone a significant transformation in recent years, driven by the need for scalable and flexible solutions. This evolution favored the adoption of microservice architectures, which, while offering benefits such as resilience and modular scalability, also introduced technical complexities in integration and maintenance. Against this backdrop, low-code tools emerged in response to the demand for more accessible and faster-to-implement solutions.Development: The study addressed the technical fundamentals of microservice architectures, characterized by their ability to divide applications into independent services. However, these architectures posed challenges in terms of interoperability, the use of multiple languages, and increased testing and deployment efforts. Various commercial and academic platforms proposed low-code-based solutions aimed at simplifying microservice design through visual interfaces and reusable components. The technological proposal of the work integrated modern tools such as Java, Spring, Docker, and Kubernetes, along with visual development approaches, with the aim of facilitating the creation of efficient distributed systems.Conclusions: The research concluded that low-code tools offered an effective way to mitigate the complexity inherent in microservices. These solutions reduced the technical burden without compromising software quality, promoting more inclusive and sustainable development environments. Likewise, the comparative analysis of platforms highlighted the need to continue refining these tools to achieve greater flexibility and standardization
Training and emerging technologies: Towards a new pedagogical paradigm
Get PDFIntroduction: The study addressed shortcomings in teacher training at the Santa Ana Institute, specifically in relation to the incorporation of innovative technological tools such as artificial intelligence. It was based on the diagnosis that many teachers still applied traditional teaching strategies that were out of touch with the needs of 21st-century students, which limited the development of meaningful and relevant learning. Development: From a constructivist approach, training was proposed that focused on the use of the artificial intelligence tool Sendsteps.ai, with the aim of promoting dynamic, collaborative, and interactive teaching practices. Through this technology, teachers could design more attractive presentations tailored to the realities of their students. Contributions from authors such as Vygotsky and Bates were integrated to theoretically support the need for methodological transformation. The flipped classroom methodology was also highlighted as a key strategy for empowering both teachers and students in the construction of knowledge. Conclusion: The study concluded that continuous teacher training was essential to achieve teaching-learning processes consistent with current challenges. The implementation of AI-based technologies would not only improve teaching practices but also encourage student participation and retention. The proposed training sought to transform the role of teachers into a more active, reflective and innovative one, enabling them to deal with change effectively and promote an educational environment adapted to the digital context.
Low-Code Platform for Visual Creation and Automatic Generation of Microservice Architectures
Get PDFWith the growing adoption of the microservices paradigm, numerous benefits have been achieved in software development. Nonetheless, this methodology also has certain drawbacks. Through various data collection techniques, one identified issue is the unnecessary repetition in the development of common components for generic systems. Developers are often required to recreate these components multiple times across different systems and must manually configure the communications between them, which is time-consuming and increases development complexity. To address this issue, a web platform was developed that, through template-based dynamic code generation, facilitates the creation and configuration of microservices architectures via an intuitive graphical interface. Through a visual process, users can select and connect generic microservices, structuring their architectures in a personalized way that suits their requirements. The interaction is straightforward: developers drag and drop elements onto a canvas and visually establish the connections between them. Upon completion, they obtain the generated code, reducing the development of a fully functional distributed system to just a few clicks
Educational innovation with artificial intelligence and augmented reality
Get PDFThe study analysed the importance of educational innovation through the incorporation of technologies such as artificial intelligence (AI) and augmented reality at primary level. The proposal focused on the Maryland Educational Unit in the province of Córdoba, where a need was identified to update teaching practices in line with current technological challenges. A training project was proposed for teachers to integrate these tools into the 2024 school year.Development:The educational intervention included a three-stage plan: awareness, training and evaluation. It was based on National Education Law No. 26,206, which considers education a national priority, and on theoretical frameworks such as those of Freire and UNESCO on digital literacy. The project introduced the use of Chat GPT as a teaching assistant, capable of personalising learning, and augmented reality, which facilitated immersive, motivating and contextualised experiences. These tools made it possible to represent complex concepts and develop skills such as creativity, critical thinking and collaboration.Conclusion:The implementation of the project sought to transform the pedagogical culture and strengthen the role of teachers as facilitators. It was concluded that training in AI and augmented reality is a key strategy for reducing the digital divide and improving educational quality. The experience reaffirmed that technology, used ethically, enhances learning and prepares students for the challenges of the 21st century