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.
- 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.
- ChatGPT as a flipped learning tool in education: a case study in chemical engineering(2024) Delgado Fabián, Mónica; Huesca Juárez, Gilberto; Carrera Flores, Héctor Eder; Menchaca Torre, Hilda Lizette; Garcia Peñalvo, Francisco José; Ramírez Montoya, María Soledad; https://ror.org/03ayjn504; University of AlicanteRapid technology advancement has profoundly impacted global education systems, particularly in the context of generative artificial intelligence (Gen-AI). This research's objective was to evaluate the potential integration of large language models (LLMs), such as ChatGPT, in chemical engineering education. In a course that employed flipped learning as an active learning strategy, the use of videos as a pre-class preparation activity was replaced by ChatGPT. The study employed a quantitative research design with an exploratory approach, with a sample size of 41 students. The efficacy of integrating ChatGPT was assessed by contrasting the normalized learning gain between the focus and control groups. The results of the descriptive statistics and the t-test indicate that there is no statistically significant difference between the two groups in terms of the normalized learning gain. The principal findings regarding the utilization of ChatGPT in chemical engineering curricula are as follows: first, it has the potential to enhance the explanation of fundamental concepts; second, it presents a challenge in tasks that require complex calculations; and third, it offers an opportunity for developing critical thinking in students. This research contributes to the existing literature on the use of ChatGPT as a tool in flipped classroom and highlights the ongoing need for further work on instructional design.
