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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- Generative artificial intelligence in higher education: a literature mapping perspective(IATED Digital Library, 2024-11-11) García López, Iván Miguel; Ramírez Montoya, María Soledad; Molina Espinosa, José Martín; https://ror.org/03ayjn504Generative Artificial Intelligence (GAI) opens intriguing possibilities for creating unique and innovative content. This systematic literature review (SLR) analysed the published evidence on GAI in higher education institutions from January 2018 to October 2023. Fourteen articles on the topic were identified in the Web of Science (WOS) and Scopus databases. We screened to obtain the most relevant data by applying inclusion, exclusion, and quality criteria. The results identified (1) the characteristics of the publications, (2) methodological trends, and (3) the approaches implemented. The study aims to be of value to the academic community and developers of GAI initiatives
- Design and challenges of open large language model frameworks (Open LLM): a systematic literature mapping(IATED Digital Library, 2024-11-11) García López, Iván Miguel; Ramírez Montoya, María Soledad; Molina Espinosa, José Martín; https://ror.org/03ayjn504Analyzing the frameworks of open large language models (OLLM) is essential to understanding how the management of these artificial intelligence (AI) models can be regulated. This study aims to analyze the evidence published from 2019 to 2024 regarding OLLM frameworks that integrate AI. Systematic mapping was the method for reviewing 227 articles published in the Scopus and Web of Science (WoS) databases. Inclusion, exclusion, and quality criteria filtered the papers to obtain the maximum relevant information. The analysis and classification of articles related to open LLM frameworks and models yielded significant findings per our research questions. The challenges identified were a) improving customization and accuracy through open LLMs, b) latency and efficiency challenges, c) the importance of reliability and security, and d) complex operational management (LLMOps). This review provides a framework for identifying the topic's state of the art and 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.
- Modelos de lenguaje grande, la revolución silenciosa en educación, salud e industria: mapeo sistémico de literatura(International Insitute of Systemics, Cybernetics, and Informatics: IIIS, 2024-09-10) García López, Iván Miguel; Ramírez Montoya, María Soledad; Molina Espinosa, José Martín; https://ror.org/03ayjn504Los Modelos de Lenguaje Grande (LLMs) están revolucionando múltiples sectores mediante su capacidad para procesar y generar texto con un alto nivel de coherencia y contexto. Estos modelos no permiten acceso público a su código fuente ni datos de entrenamiento, lo que restringe su uso a la organización que los posee. A diferencia de los modelos de código abierto, los LLMs cerrados presentan tanto oportunidades como desafíos únicos. Nos preguntamos: ¿Cuáles son las estrategias efectivas para integrar LLMs en educación, salud e industria, y cómo pueden manejar los retos éticos, de seguridad y transparencia? El método del estudio es una revisión sistemática de la literatura, analizando artículos de las bases de datos Scopus y Web of Science desde enero de 2019 hasta mayo de 2024. Se seleccionaron los datos más relevantes utilizando criterios de inclusión, exclusión y calidad, y se delimitaron 60 artículos para su análisis. Los hallazgos destacan: (a) oportunidades significativas en la personalización y eficiencia en diversos sectores, (b) marcos de trabajo para la integración efectiva de LLMs y (c) estrategias para abordar desafíos éticos y de seguridad. Este escrito invita a otros investigadores a explorar el uso de LLMs en distintos ámbitos, resaltando su potencial para transformar procesos educativos, médicos e industriales, mientras se asegura un uso responsable y ético.
- Inteligencia artificial generativa y el aprendizaje para toda la vida: Mapeo de literatura(2024-03-26) García López, Iván Miguel; Ramírez Montoya, María Soledad; Molina Espinosa, José Martín; https://ror.org/03ayjn504; International Institute of Informatics and SystemicsEl aprendizaje está presente en cada día de nuestras vidas, por lo que siempre seguimos aprendiendo a lo largo de la vida. El aprendizaje para toda la vida (LLL) representa la oportunidad de seguirnos preparando día a día. Con el auge de las nuevas tecnologías como la inteligencia artificial generativa (GAI) surgen nuevos retos sobre la forma en que se aprende. En este sentido se partió de la pregunta ¿Cuáles son las características de GAI que se ubican en las implementaciones del ámbito educativo, en el presente y futuro del LLL? El método del estudio es una revisión sistemática de la literatura, de los sistemas Scopus y Web of Science en el marco de enero de 2018 y octubre de 2023. Se cribaron los datos más relevantes utilizando criterios de inclusión, exclusión y calidad y se delimitaron 2 artículos de estudios. Los hallazgos destacan (a) oportunidades para explorar ambos conceptos (b) marcos de trabajo que con juntan la GAI y LLL y (c ) LLL abordado desde el aspecto tecnológico-pedagógico. Este escrito llama a otros investigadores a hacer uso del concepto de GAI en el LLL, particularmente por ser un tema naciente para el futuro de la educación.
- Enabling reusable educational resources for holistic citizen science impact: a complex thinking approach(2024) Sanabria Zepeda, Jorge Carlos; Molina Espinosa, José Martín; Olivo Montaño, Pamela Geraldine; Alfaro Ponce, Berenice; Tecnologico de Monterrey; https://ror.org/03ayjn504; Instituto Politécnico de BraganzaOpen Educational Resources on citizen science are advancing in parallel with Education 4.0. However, few are truly reusable and therefore do not achieve a comprehensive impact. Based on the Design Thinking methodology, enabled through the Action Research methodology, a model that will generate reusable Open Educational Resources on Citizen Science projects to communicate the essence of a citizen science project according to the particular needs of any audience taking into account its holistic impact based on framework of the threshold Typology for Citizen Science Projects (TCSP) through various multimedia formats. The findings were: (a) through continuous adaptation, OER in Citizen Science projects are a tool to reach a broader population, which can translate into educational achievements with greater impact (b) identifying specific criteria in citizen science projects will allow configuring OER that communicate more optimally to a target audience and (c) the search for tools to achieve broad reach for citizen science projects and thus, support the democratization of science can be solved from OER, which with continued adaptation, will surely evolve and mature, and lead to richer and more impactful educational outcomes for all. The implications of this study will allow the identification of various elements for the design of OER that can be adapted and reused based on the established objectives and a specific audience. This opens a window for other research that addresses the education of the future and its innovation for the implementation of the model proposed here.
- Mobile app prototype for citizen science:towards the development of complex thinking(2023-06-29) Sanabria Zepeda, Jorge Carlos; Molina Espinosa, José Martín; Artemova, Inna; Alfaro Ponce, Berenice; Tecnologico de Monterrey, Institute for the Future of Education / School of Architecture, Arts and Design (EAAD); https://ror.org/03ayjn504; Polytechnic University of PortoMobile technology applied to citizen science has helped renovate its meaning and educational impact. Numerous apps collect data, identify species, monitor the environment, and educate and disseminate science, which can impact citizens' engagement and complex thinking, among other aspects. However, developing citizen-science-related apps is not yet considered a priority or standard to address in the design stage. Therefore, we present a case study on developing a citizen science mobile app whose prototype was evaluated through the eight components of the Threshold for Citizen Science projects. We offer the results of an online focus group that answered trigger questions regarding the app's objective and the development of complex thinking. The results showed the limitations and strengths of the prototype, leading to a better consideration of the components of the Threshold for a more comprehensive impact on its subsequent development. By documenting this case study and the evaluation process, we intended to support other studies seeking to apply the Threshold to evaluate the impact of citizen-science mobile applications.
- Marco ético en la práctica de la divulgación científica desde el pensamiento complejo(2023) Olivo Montaño, Pamela Geraldine; Sanabria Zepeda, Jorge Carlos; Molina Espinosa, José Martín; https://ror.org/03ayjn504; Red de Popularización de la Ciencia y la Tecnología en América Latina y el CaribeLos trabajos destinados a comunicar o divulgar el conocimiento a un público no especializado o a la sociedad en general se remontan a varios siglos atrás. Sin embargo, el quehacer de divulgación científica como profesión es un tanto reciente donde la actividad va más allá de un ejercicio de “voluntariado social” (Sánchez Mora, 2010, 11). La divulgación de la ciencia ha pasado de una actividad secundaria o complementaria para los científicos a una actividad que se fortalece con educación y formación. Al considerar a la divulgación científica como una profesión surge la preocupación y necesidad por establecer un marco normativo y de valores que guíen la actividad, pues esta no es excluyente de posibles conflictos éticos. En el trabajo se propone una especie de marco normativo definido para la profesión desde el reconocimiento de su bien interno, siguiendo los parámetros del filósofo y eticista de las profesiones, Emilio Martínez. Se reconocerá al pensamiento complejo como una competencia que enmarca las habilidades y el proceso de razonamiento para la toma de decisiones éticas.
- Sensing, smart and sustainable products to support health and well-being in communities(IEEE, 2020-01-02) Miranda Mendoza, Jhonattan; Cortés Serrano, Daniel; Ponce Cruz, Pedro; Noguez Monroy, Julieta; Molina Espinosa, José Martín; López Caudana, Edgar Omar; Molina Gutiérrez, Arturo; https://ror.org/03ayjn504Today, the healthcare industry has been highly influenced by the "Industry 4.0" concept and vision. Therefore, the healthcare industry is taking advantage of new technologies, information and communication technologies (ICTs), the internet of things (IoT), innovative practices and procedures to provide better products/services, process and facilities. In this work, the "sensing, smart and sustainable (S3)" concept is used to design and develop new technologies that promote well-being and ensure health in communities.