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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- 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.
- Regulatory challenges and optimization strategies for open large language models: a multidimensional framework for efficient management(Springer Link, 2024-10-23) García López, Iván Miguel; Ramírez Montoya, María Soledad; Molina Espinosa, José Martín; https://ror.org/03ayjn504Innovations in artificial intelligence are rapidly transforming various in-dustries, particularly through the development and deployment of Open Large Language Models (OLLMs). However, the absence of a robust regula-tory framework presents significant challenges in ensuring the ethical, safe, and effective use of these models. This research aims to address this gap by proposing a comprehensive regulatory framework designed to optimize the scalability and performance of OLLMs, emphasizing the importance of structured pruning techniques. By integrating both quantitative and qualita-tive analyses, the study will assess the technical capabilities and societal implications of OLLMs, ultimately providing clear guidelines that promote responsible and sustainable innovation. The expected outcomes include the development of a governance model that balances the need for innovation with ethical considerations, offering a pathway for the regulation of OLLMs that supports their continued evolution while safeguarding public interests.
- 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
- DIG-HE digital transformation model in higher education: an implementation model(Springer Link, 2024-10-23) Farías-Gaytán, S., Aguaded, I., Wilberforce, T., & Ramírez-Montoya, M.S.,; https://ror.org/03ayjn504Digital transformation has become a constant state for organisations, including higher education institutions. This research aimed to answer the following question: What digital transformation model components guide higher education decision-makers to the most relevant path to meet societal needs? The model's research-based design method had three phases: 1) context analysis (SLR and mapping), 2) analysis of higher education digital transformation experiences, and 3) a proposal for a higher education digital transformation model. The findings were: (a) a philosophical component comprising quality, equity, solidaritybased education, inclusive digital worldview, a culture of innovation and continuous improvement, and collective construction of digital knowledge; (b) a theoretical component supported by the theories of complexity and sustainability, management of educational change, educational innovation, and experiential learning; ( c) a policy component referring to digital participatory governance, digital ethics and privacy, open access and equity policies (Sustainable Development Goal 4 Quality education), cooperation, and strategic alliances to guide educational processes, and (d) an operational component integrating strategy, process, technology, people, implementation, and evaluation with inputs and outputs. The DIG-HE model is intended to be of value to academic communities and management interested in digital transformation initiatives.
- Formative assessment in DGBL: a qualitative analysis of players perceptions of game-based feedback in complex scenario(Springer Link, 2024-10-23) Ramirez Montoya, María Soledad; Patiño Zúñiga, Irma Azeneth; Hernandez, L. E.; https://ror.org/03ayjn504Formative assessment in Digital Game-Based Learning (DGBL) involves evaluating students' learning progress through interactions within a game environment. This study aimed to analyze players’ perceptions of game-based feedback during a DGBL intervention among university students. Utilizing a qualitative approach, data were gathered through learning analytics embedded in the game, an online survey and video recordings of the game sessions. The study engaged 11 university students enrolled in a private higher education institution in Mexico, analyzing the data through content analysis and descriptive statistics. The study identified several key findings: (a) the game provided four types of feedback: guided, diegetic, outcome, and static; (b) these feedback types are integrated with game mechanics, quizzes, minigames, and NPCs; (c) perceptions of content-related feedback efficacy varied, with 27.3% average, 54.5% good, and 18.2% excellent, while game-related feedback was rated 9.1% poor, 36.4%average, 45.5% good, and 9.1% excellent; (d) specific feedback types influenced players’ financial behaviors, such as investing and saving strategies. These findings have significant implications for educational communities and decisionmakers, highlighting the importance of effectively integrating feedback mechanisms in educational games to enhance learning outcomes and behavior modification.
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