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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- 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 and complex thinking competencies with an open technology platform: a gender approach(2024-11-01) Ramírez Montoya, María Soledad; Vázquez Parra, José Carlos; Echaniz Barrondo, Arantza; https://ror.org/03ayjn504; https://ror.org/00ne6sr39In addition to specialized disciplinary training, cross-disciplinary skills are relevant to lifelong learning. One such skill is complex thinking, which involves integrating different reasoning to solve problems. To ensure that all students can achieve the same professional learning goals, in this paper, we present the results of an analysis of students’ perceived achievement of complex thinking competency through self-managed activities on an open education technology platform that diagnoses, develops, and evaluates social entrepreneurship competency. The research objective was to identify statistically significant gender differences in the two competencies (complex thinking and social entrepreneurship) in a group of students attending a technological university in Mexico. Methodologically, a multivariate descriptive analysis calculated arithmetic means and standard deviations, supplemented by boxplot and violin plot analyses and a scatter plot with lines of central tendency. In addition, a t-test analysis with a p-value of 90% was performed to identify the statistical significance of differences in the mean values by gender. The findings confirmed a statistically significant gender gap in the development and level attained in the students’ perceived achievement of both competencies (social entrepreneurship = 0.007 p-value; complex thinking = 0.068 p-value). Women showed the best results after using this technological platform. This study highlights the need to design technological tools for developing disciplinary and cross-disciplinary competencies from a gender perspective, to promote educational innovations that equitably ensure lifelong learning.
- 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.
- Fostering complex thinking through educational simulators in higher education(2024-10-21) Pacheco Velázquez, Ernesto Armando; Arana Solares, Iván Andrés; Rodríguez Castelblanco, Astrid Xiomara; Ramírez Echeverri, Sergio Augusto; Tecnologico de Monterrey; https://ror.org/03ayjn504; University of AlicanteThe increasing importance of serious games and simulations in higher education is undeniable. These methodologies promote active learning by allow-ing students to directly engage in their educational process through practice and experimentation, facilitating a deeper understanding of concepts. Additionally, they provide a safe environment where students can make mistakes without real-world consequences, enabling them to learn from their errors and improve their skills without associated risks. This study aims to present and evaluate the effec-tiveness of a logistics simulator as an innovative educational tool for the devel-opment of complex thinking. The integration of simulators and serious games into the educational process has been shown to significantly enhance the critical competencies necessary for professional success in an increasingly complex and dynamic environment. Complex thinking, a cognitive approach that integrates multiple types of thinking, is essential for understanding and managing the inher-ent complexity of various phenomena and systems. This study explores how Ed-ucation 4.0 and open innovation practices contribute to the development of com-plex thinking, enabling students to apply critical, systemic, scientific, and inno-vative thinking principles in practical situations. The V-Logistics platform is highlighted as an effective tool for fostering these competencies, demonstrating its impact on student engagement, learning outcomes, and the continuous profes-sional development of educators. The findings underscore the simulator's effec-tiveness in promoting deep and meaningful learning, preparing students to navi-gate and transform their environment with advanced technological and educa-tional methods.
- Scaling social, scientific, and technological entrepreneurship skills: designing the OpenEdR4C platform(Springer Link, 2024-08-05) George Reyes, Carlos Enrique; López Caudana, Edgar Omar; Suárez Brito, Paloma; Alcantar Nieblas, Carolina; https://ror.org/03ayjn504The development of entrepreneurship skills in higher education is necessary to train citizens to identify opportunities and solve problems in an increasingly complex society. However, training at the university is not enough, so experiences must be designed that help students strengthen social, scientific and technological entrepreneurship skills through a hinge competence: complex thinking. This paper shows a proposal for the design of a web platform through a project called OpenEdR4C that imbricates complex thinking-entrepreneurship and whose purpose is to contribute to the training of students and lifelong learners with skills and competencies necessary to face the challenges of today’s world and develop their potential as entrepreneurs and committed and innovative citizens. The description of the OpenEdR4C project, its objectives, stages, as well as the first pre-prototype that will become a learning platform is presented.
- Augmented reality as a driver to enhance engagement in high school students(Springer Link, 2024-08-05) Velarde Camaqui, Davis; Sanabria Zepeda, Jorge Carlos; https://ror.org/03ayjn504Educational innovation supported by Information and Communication Technologies (ICT) is presented as a way to promote quality education and improve student competencies. The integration of ICTs in schools facilitates access to information and knowledge, eliminating barriers of time and space. To achieve effective integration, it is important to consider Technologies for Learning and Knowledge (TAC), which seek to understand the entire teaching-learning process. Technologies such as augmented reality (AR) have proven to provide immersive experiences and enriching education, by offering significant opportunities to interact with different scenarios and facilitate the understanding of complex concepts. However, studies on the implementation of AR in education have mainly focused on the university level, but research has also been conducted at secondary and elementary school levels, showing positive effects on socio-emotional aspects, cognitive development and academic performance. Thus, the implementation of AR at the high school level is a niche to improve students’ academic engagement and motivation. To address this topic, a mixed study combining quantitative and qualitative approaches is proposed. This is achieved by implementing a Systematic Literature Review and proposing an AR initial incorporation model. The results show a lack of implementation of AR at the high school level. The implications of this study include to make a valuable contribution to the instructional design and technology field, specifically as a case study for high school education, which is an area that warrants additional investigation, particularly in Latin American contexts.
- Next-Gen information architecture: open STEAM platforms(2024-08) González Pérez, Laura Icela; Enciso Gonzalez, Juan Antonio; Lindín, Carles; Vicario Solórzano, Claudia Marina; Ramírez Montoya, María Soledad; https://ror.org/03ayjn504; University of AlicanteSmart technologies in educational platforms need a new vision to organize attributes and characteristics that facilitate search and retrieval. This study reports the evaluation results of Open Educational Platforms (OEPs) in Science, Technology, Engineering, Arts, and Mathematics (STEAM). In a webinar, participants selected OEPs using a structured instrument provided during the session. The instrument includes a two-section rubric. The first section validates the obligatory metadata and adherence to an open license. The second quantitatively assesses the quality of the OEPs in seven dimensions. The questions guiding this research were: Which OEPs in STEAM aligned with the principles of open education scored the highest quality assessment, and in which dimensions? Which dimensions obtained the lowest means? 1) The highest-scoring STEAM OEPs were Khan Academy and GeoGebra, scoring highest in the dimensions "Smart Components," "Learner Support," and "Technical Support." 2) On average, the dimensions with the lowest scores were "Smart Components," "Learner Support," and "Technical Support." OEP developers should consider a new information architecture with metadata for demarcations that require new data sets for greater long-term scalability.
- Health monitoring kiosk: A use case of the DM4O design methodology(Springer Link, 2024-07) Álvarez Icaza Longoria, Inés; Montalvo Urquizo, Jonathan; Huerta Cardoso, Omar Ivan; https://ror.org/03ayjn504; https://ror.org/024mrxd33The rapid and revolutionary transitions in the second decade of the millennium are forcing us to observe and include new perspectives to shape our present and future. Some believe that, at this point, it is crucial to learn from the possibilities brought by diversity and the search for equity. The DM4O is a digital product conceptualization strategy for digital products developed to allow novel design practitioners or students to envision scenarios in which vulnerable groups of people might struggle with human-machine interactions. This document presents a use case in which the methodology was tested with a group of pre-grade Data Science students at Tecnologico de Monterrey University. The results show that 1) Engineering students can benefit from including human factors considerations in their conceptualization processes; 2) The DM4O is a practical approach to promote an inclusive approach; and 3) The application possibilities of the method can promote sustainable and inclusive solutions for digital product design.
