Conferencia
Permanent URI for this collectionhttps://hdl.handle.net/11285/636053
Presentación o disertación realizada dentro de un congreso o evento similar, o como evento académico independiente, tales como: Conferencia inaugural, conferencia magistral, conferencia de clausura.
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- Horizons of education 5.0 with AI through strategic leadership in the global context: case study research(IEEE Xplore, 2025-01-01) Ramirez Montoya, María Soledad; Maraboto Quepons, José Manuel; Enciso González, Juan Antonio; Miranda Mendoza, Jhonattan; https://ror.org/03ayjn504In the rapidly evolving landscape of education, the concept of Education 5.0 emerges as a transformative paradigm that integrates personalized learning, sustainable development, Artificial Intelligence (AI), and advanced technologies. How can educational institutions integrate AI and advanced technologies in the framework of Education 5.0 and Global Strategic Leadership to enhance personalized learning, promote sustainable development goals (SDGs), and facilitate innovative solutions in dynamic educational environments? This study investigates the case of the postgraduate course “Strategic Leadership in the Global Context,” where the Horizons Architecture method was applied with AI and advanced technologies to identify Education 5.0 components that foster innovative learning environments. The research employed the case study method, with the key components of Education 5.0: competencies, method, technology, infrastructure, stakeholders, and sustainability. The study population included managers, directors, and business leaders. The results indicated that (a) personalized learning links to shared goals for sustainable development; (b) Horizon scanning facilitates the search for solutions for all stakeholders; (c) the strategic integration of AI and advanced technologies enhances personalized learning experiences; (d) strategic leadership fosters agility and open innovation; and (e) collaborative partnerships drive sustainable educational transformations. This research provides a differentiated perspective for educational communities, society at large, and policymakers by illuminating pathways to navigate the complexities of Education 5.0. It underscores the imperative of proactive leadership and strategic foresight to shape future-ready educational ecosystems.
- Harnessing open language models: a systematic literature review unleashing AI's potential for a smarter future(IEEE Xplore, 2025-01-01) García-López I.M., Ramirez-Montoya M.S., Molina-Espinosa J.M.; https://ror.org/03ayjn504This study provides a systematic literature review (SLR) on Open Large Language Models (OLLM), which are large-scale natural language processing (NLP) models with accessible source code, configuration, and training data for the community. Recent advances in supervised and unsupervised learning techniques have improved the accuracy and contextual capabilities of OLLMs, enabling advanced applications in conversational interaction and long-text analysis. This research explored the applications and socioeconomic impacts of OLLMs in various industries, such as healthcare, education, and business management, demonstrating how these models optimize the efficiency and personalization of different processes. The study also addresses the ethical and operational challenges associated with OLLMs, such as bias management, data privacy and security, decision-making transparency, and technological dependency. Strategies are proposed to mitigate these issues, including regular ethics audits and the adoption of explainable AI frameworks. Finally, the study emphasizes the importance of maintaining a balance between OLLMs and human skills, the need for robust governance frameworks to ensure the ethical and legal operation of these models, and the promotion of continuous innovation to expand their capabilities for a positive and lasting impact on society.
- Social entrepreneurship competences for the development of complex thinking: a comparative study by gender in postgraduate students(IEEE Xplore, 2025-01-01) Ramirez Montoya, María Soledad; Martínez Pérez, Sandra; Zepeda Orantes, Laura Patricia; https://ror.org/03ayjn504In the context of complexity and opportunities for the future of education, promoting social entrepreneurship brings new possibilities for education and development in society. In this sense, the study of entrepreneurship in the educational context is of high value for educational institutions. This paper aims to contribute to the academic literature in understanding the differences in the development of social entrepreneurship competences among men and women pursuing postgraduate studies. The study used mixed methods and a concurrent triangulation design. Three instruments were applied: two semi-structured questionnaires and a validated Likert scale. The sample consisted of 89 students(31 men and 58 women) from 11 countries who were studying for a postgraduate degree in Humanities and Education. The question that triggered the present study was: Are there differences in the development of social entrepreneurship competences between men and women in a graduate program in the humanities and education? The overall results show that women scored higher than men, but the difference is not significant. The findings indicate that the horizon architecture model is a suitable method for deploying social entrepreneurship competences without gender barriers in the entrepreneur formation. Multidisciplinarity and long-range perspective in projects stand out as drivers of social entrepreneurship. This study can be of value to teachers, entrepreneurs, and decision-makers interested in innovative educational environments.
- Competencies for sustainable development and open education: research in higher education(Springer Link, 2024-10-23) Montes Martínez, Ruth; Portugal Toro, Arlene; Tworek, Michael; Antón Ares, Paloma; Ramirez Montoya, María Soledad; https://ror.org/03ayjn504Transforming society to create a sustainable world requires structural changes in each person’s perceptions and actions. This research aimed to identify the sustainable development competencies possessed or evidenced by future primary education teachers, and the skills they must use and reuse to design resources and open educational practices for learning or educating about sustainable development. The study employed a mixed research method with a sample of 28 students with bachelor’s degree in Primary Education who participated in a learning experience focused on developing educational and social entrepreneurship projects with a vision of sustainable development. The students responded to a Likert scale questionnaire to self-evaluate their knowledge, skills, and attitudes regarding sustainable development and open education. The projects developed by the students were analyzed, and a focus group was held to learn their opinions regarding the experience and learning. The results show a significant change in the students regarding a) knowledge about sustainable development, b) skills and actions for open education, c) awareness about sustainable development, and d) values and actions focused on sustainable development.
- Semantic web in medical diagnosis and complexity applied: systematic literature review(Springer Link, 2024-10-23) Jiménez-Botello, L.C.; Rozo-García, H.; García-Peñalvo, F.J. & Ramírez-Montoya, M.S.; https://ror.org/03ayjn504Semantic Web (SW) constitutes a significant evolution in management and application of information in different disciplines including medicine, where it can be useful in complex thought processes such as medical diagnosis. Objective of this study was to know how SW is related to medical diagnosis within the context of complexity. To achieve it, a systematic literature review (SLR) was carried out, with keywords “Semantic Web” and “Medical Diagnosis” from 2014 to 2024, using the SCOPUS (8 documents) and WoS (6 documents) databases. answering 4 questions, grouped into two topics: Characteristics of the studies and Semantic Web and Diagnosis. Results indicated: a) In addition to “Semantic Web” and “Medical Diagnosis” The most frequent keywords are: “semantic segmentation” and “medical images”, which suggests that greatest application of SW is in images; b) A single semantic methodology is not observed in studies, however, they are based on three main methodologies: fuzzy semantics, neural networks and semantic segmentation; c) Main uses of SW in medicine are in: Diagnosis, Prediction and Decision Making; d) Types of complex thinking identified are: Scientific thinking and Systemic thinking. This study contributes to understanding how SW has been applied to complex thought processes as relevant as medical diagnosis and contributes to understanding how SW has evolved with a view to its application in other areas of medicine.
- Decoding the enigma of a digital platform transfer: research-based design and complex thinking(Springer Link, 2024-10-23) Ramirez-Montoya, M.S., Aguaded, I., Tariq, R., Wilberforce, T., Martínez-Reyes, M. & Farias-Gaytan, S.; https://ror.org/03ayjn504Cracking the code of digital learning-environment transfer means unraveling the complexities of migrating educational content and practices across diverse digital ecosystems to achieve a future where learning is seamless, adaptive, and universally accessible. What are the primary enigmatic pieces to consider when transferring digital platforms? This work applied a research-based design method to the transfer of a digital platform developed in a research project in Mexico to a platform for a research project in England. It used didactic components of a complex thinking and computational thinking model, a digital transformation model for higher education institutions, and technological components with open resources. The data identified the critical pieces of (a) educational internationalization, (b) cultural localization, (c) technological interoperability, (d) learning analytics, (e) pedagogical innovation, and (f) financial and operational sustainability. This study enriches the decision-making process by fostering the exchange and transfer of knowledge between institutions. This study is of value to academic and research communities and developers interested in educational innovation processes.
- User experience measurement in a computational thinking platform: findings from implementation in Latin America(Springer Link, 2024-10-23) Tariq, R., Ramírez-Montoya, M.S., Casillas-Muñoz, F., Nasser, F. & Martínez-Reyes, M.; https://ror.org/03ayjn504Computational thinking has emerged as an essential skill for professional development in the 21st century. This study aimed to evaluate the effectiveness of the E4C&CT online education platform in fostering computational thinking and measuring user experience to enhance educational outcomes. A mixed-method approach utilized quantitative and qualitative instruments. The sample included 905 users from 18 public and private academic institutions in four countries. Research methods included surveys, questionnaires, and user feedback, analyzed using descriptive statistics and thematic analysis. The findings were that (a) the E4C&CT platform significantly improved users' computational thinking skills, with 90% of participants answering correctly on specialized content, (b) usability assessments indicated that 86% of users found the platform easy to navigate and intuitive, (c) user satisfaction metrics revealed that 90% of users agreed that the platform met their academic training expectations, and (d) emotional impact evaluations showed that 81% of users found the platform relevant and motivating, fostering critical thinking and problem-solving skills. This study provides valuable insights for educational communities, society, and decision-makers by spotlighting integrated user experience assessments of educational technologies, emphasizing the need for intuitive interface designs and engaging content to improve learning outcomes and prepare students for complex problem-solving in real-world contexts.
- Digital educational ecosystem with artificial intelligence: evaluation of complex and computational thinking(Springer Link, 2024-10-23) Valenzuela-Arvizu, S. Y., Ramírez-Montoya, M. S., & García-Peñalvo, F.J.; https://ror.org/03ayjn504Due to the social, work, and technological demands characterizing 21st-century society, developing complex and computational thinking skills in the university environment is essential. This document aims to present the current status of a research plan for a doctoral thesis that analyses how university students’ development of computational and complex thinking skills are correlated using training experiences in an AI driven digital ecosystem. This research utilizes a mixed method concurrent design with a triangulation strategy, that is, the collection of quantitative and qualitative data carried out simultaneously (QUAN-Qual). The expected results will enable the development of an evaluation prototype for educational ecosystems with integration of AI. The document is organized into six sections: a) introduction: context and motivation underlying this research project, b) the state of the art of the primary theoretical constructs, c) the hypothesis and research objectives, d) the methodology followed, e) the status of the thesis and f) expected contributions. The research project will contribute to educational innovation, generating valuable knowledge by designing an evaluation prototype for digital ecosystems integrated with AI focused on developing complex and computational thinking skills in university students.
- User experience in digital ecosystems with integration of Artificial Intelligence: a systematic literature mapping from 2010 to 2024(Springer Link, 2024-10-23) Valenzuela-Arvizu, S. Y., Ramírez-Montoya, M. S., & García-Peñalvo, F.J.; https://ror.org/03ayjn504Analyzing users’ experience in digital ecosystems (DE) is essential to ensure effective spaces capable of satisfying their needs and interests. The present study analyzed the publications in the Scopus and Web of Science (WoS) databases from 2010 to 2024 on the study topic of “user experience (UX) in DEs that integrate artificial intelligence (AI).” One hundred eighty-two published articles were reviewed using the Systematic Mapping methodology. Inclusion, exclusion, and quality criteria were applied to obtain the most relevant information. The results showed a) the preponderance of empirical research articles over theoretical/conceptual; b) the mixed methodology approach and the concurrent triangulation design were the most used; c) the main areas of interest were Health, Education, and Technology, which reflects in d) the contexts of the most cited articles and e) the areas of specialization of the main journals analyzed; f) the United States tops the list of the leading countries in this research topic, followed by China and Australia; and e) the studies emphasized assessing the usability and satisfaction with chatbots, the most prevalent and studied AI tool. This review provides a framework for identifying the state of the art of the research topic, making it possible to identify current and emerging research trends.
- Artificial intelligence and immersive technologies for entrepreneurial and complex thinking: addressing SDGs through education 4.0(Springer Link, 2024-10-23) Leiva-Lugo, L., Ramírez-Montoya, M.S., Álvarez-Icaza, & Miranda, J.; https://ror.org/03ayjn504Global society faces multifaceted challenges in various sectors, demanding innovative solutions that transcend traditional disciplinary boundaries. Addressing these complexities requires fostering interdisciplinary collaboration and holistic approaches. From a professional training perspective, it is crucial to equip future professionals with contemporary technical and technological competencies aligned with the demands of the 21st century and the competencies necessary to integrate high-performance interdisciplinary teams. This study investigates how entrepreneurial and complex thinking, Artificial Intelligence (AI), and immersive technologies can address the Sustainable Development Goals (SDGs) within the framework of Education 4.0. An integrative training model was designed and implemented in the "Techno-Entrepreneurship" workshop at the TecNM University, Zitácuaro Campus, with 20 students studying five different careers. The analysis included the evaluation of competencies through standardized templates and specific rubrics. The findings indicated a) significant improvement in critical thinking and problem-solving, b) increased interdisciplinary collaboration, c) more significant student commitment and motivation, and d) proposals for viable technological solutions aligned with the SDGs
