Artículo
Permanent URI for this collectionhttps://hdl.handle.net/11285/345284
Artículo científico o editorial en una publicación periódica académica sujeto a revisión de pares. Cumple con los índices internacionales o bases de datos de amplia cobertura, como el listado del Current Contents, ISI WEB of Knowledge (http://isiknowledge.com/) e índice de revistas mexicanas de CONACYT (www.conacyt.mx/dac/revistas). Éstos indizan y resumen los artículos de revistas seleccionadas, en todas las áreas del saber.
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- MAICC model: development of complex thinking through citizen science project evaluation(Frontiers, 2024-08-30) Olivo Montaño, Pamela Geraldine; Sanabria Zepeda, Jorge Carlos; Molina Espinosa, José Martín; Quintero Gámez, Lorena; Velarde Camaqui, Davis; Sánchez Salgado, Lisset Abril; Gonzalez Mendoza, Miguel; Breda, Adriana; Morales Maure, Luisa; Álvarez Icaza Longoria, Inés; Tecnologico de Monterrey; https://ror.org/03ayjn504; https://ror.org/021018s57; https://ror.org/0070j0q91; Montoya, Miguel AAs traditional education systems struggle to keep up with technological advances, incorporating open science into Education 5.0 is critical to addressing student skills gaps. In this study, the MAICC model is introduced, a tool designed to foster complex thinking in higher education students through the evaluation of citizen science projects. It integrates research-based learning and service learning, and helps develop critical and reflective skills by applying them to real-life settings. To assess student engagement and skills development, a mixed methods approach combining qualitative and quantitative analysis was used. Findings indicate that the MAICC model promotes complex thinking, enhances critical thinking through citizen science project evaluation, and features an emphasis on citizen science and educational technology. Discussion highlights citizen science’s important role in education and suggests future research exploring its wider application across disciplines and contexts to enhance 21st century skills.
- The impact of large language models on higher education: exploring the connection between AI and Education 4.0(Frontiers, 2024-06-14) Peláez Sánchez, Iris Cristina; Velarde Camaqui, Davis; Glasserman Morales, Leonardo David; https://ror.org/03ayjn504; https://ror.org/0297axj39; Hernández Montoya, DianaThe digital transformation has profoundly affected every facet of human life, with technological advancements potentially reshaping the economy, society, and our daily living and working modalities. Artificial Intelligence (AI), particularly Generative AI (GAI), has emerged as a pivotal disruption in education, showcasing the capability to produce diverse and context-relevant content. Generative Artificial Intelligence (GAI) has revolutionized natural language processing, computer vision, and creative arts. Large language models (LLMs) like GPT-4 and Open Assistant and tools like DALL-E and Midjourney for the visual and creative domain are increasingly used for various tasks by students and others with critical information needs. AI presents novel avenues for crafting effective learning activities and developing enhanced technology-driven learning applications in the educational sector. However, integrating AI with a pedagogical focus pose challenge. Education 4.0, which integrates emerging technologies and innovative strategies, aims to prepare new generations for a technologically fluid world. This systematic literature review aims to analyze the use of LLMs in higher education within the context of Education 4.0’s pedagogical approaches, identifying trends and challenges from a selection of 83 relevant articles out of an initial set of 841 papers. The findings underscore the significant potential of LLMs to enrich higher education, aligning with Education 4.0 by fostering more autonomous, collaborative, and interactive learning. It highlights the necessity for human oversight to ensure the quality and accuracy of AI-generated content. It addresses ethical and legal challenges to ensure equitable implementation, suggesting an exploration of LLM integration that complements human interaction while maintaining academic integrity and pedagogical foundation.
- Enhancing STEAM education through augmented reality: the EduAR open platform experience(Frontiers, 2024-05-27) Velarde Camaqui, Davis; Celaya Ramirez, Rosario; Contreras Fuentes, Yéssica Betzabe; Sanabria Zepeda, Jorge Carlos; https://ror.org/03ayjn504; https://ror.org/0297axj39Quality education is pivotal for fostering innovation and development, with Augmented Reality (AR) offering transformative learning experiences. The absence of open-access platforms for AR resources hinders the democratization of educational technology. This study introduces EduAR, an open-access platform designed to provide validated AR resources for STEAM education, aiming to enhance learning processes and promote equitable access to quality education. Employing a mixed-methods approach, the platform’s usability was assessed using the System Usability Scale (SUS), where it achieved a high usability score, highlighting its user-friendliness and effectiveness. Additionally, qualitative feedback through focus groups provided insights into the platform’s impact on learning engagement and skill development. The study yielded the following findings: (a) Incorporating AR in STEAM disciplines through an open validated platform is an effective strategy for enriching learning and teaching processes; (b) The EduAR platform allows effective adoption due to its high usability and accessibility; (c) Design-Based Research is useful when looking to improve an AR educational platform; (d) EduAR is a valuable tool for providing equitable access to quality educational resources; and (e) EduAR promotes problem-solving and critical thinking among students. This comprehensive research underscores the potential of EduAR in enhancing educational outcomes, establishing a solid foundation for future advancements in educational technology and open educational resources (OER). Its benefit is foreseen for both teachers and researchers interested in the implementation of AR in courses within the framework of openness.