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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- 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.
- Gender digital divide in education 4.0: A systematic literature review of factors and strategies for inclusion(2023-11-16) Peláez Sánchez, Iris Cristina; George Reyes, Carlos Enrique; Glasserman Morales, Leonardo David; Tecnológico de Monterrey; https://ror.org/03ayjn504The gender digital divide (GDD) is a phenomenon that refers to the inequalities and differences between men and women in accessing the digital ecosystem in various environments, such as the scenarios of Education 4.0. Bridging the GDD in access, use, and appropriation of technologies would promote the digital inclusion in spaces traditionally dominated by men. A systematic literature review was conducted using seven databases, considering Scopus and Web of Science. Through this, the factors with the most significant impact on the widening of this type of gap were identified. The findings suggest that the elements that limit the GDD are (a) access and use of technologies, (b) social barriers, and (c) gender stereotypes and roles. On the other hand, factors that need to be considered for the digital inclusion of women were identified as follows: (a) the mode of interaction with technologies, (b) digital competencies in Education 4.0, (c) the mode of technology-mediated teaching and learning, (d) digital competencies in the workplace, and (e) digital participation. It is concluded that more digital inclusion strategies are needed to reduce the GDD, thus requiring greater participation from society and universities to achieve digital equity.
- The metaverse and complex thinking:opportunities, experiences, and future lines of research(Frontiers, 2023-05-25) George Reyes, Carlos Enrique; Peláez Sánchez, Iris Cristina; Glasserman Morales, Leonardo David; López Caudana, Edgar Omar; https://ror.org/03ayjn504; Hussain, SajjadResearch trends about the Metaverse have increased in recent years due to its potential to create immersive realities, where complex thinking becomes relevant as an ability to promote emerging ways to understand and explain the different realities that comprise a digital society. Although some investigations allow us to know both topics’ concepts and applications, scientific literature production about them is scarce. In this work, we conducted a systematic review of the literature (SLR), analyzing 234 publications from various databases, including Scopus and Web of Science, to understand how studies about the Metaverse overlap with the components of complex thought. The results showed that there has been extensive exploration of the Metaverse since 2022. The prevalence of the Metaverse aligns with the design of algorithms and retail sales, and it primarily correlates with virtual reality technology. Likewise, various reference frameworks and taxonomies have been designed to explain the operation of the Metaverse in different formative spaces. We concluded that examining the Metaverse from the perspective of critical, systemic, scientific, and innovative thinking can open lines of research that affect the knowledge of immersive technologies and the evolution of disruptive digital ecosystems.
- The impact of Duolingo in developing students’ linguistic competence: an aspect of communicative language competences(2023-04-28) Peláez Sánchez, Iris Cristina; Velásquez Durán, Anabel; de Almeida, RogérioThis paper reports the impact of a type of m-learning on developing students’ linguistic and communicative competence in English as a second language. This study is a Mexican-based case using Duolingo to improve virtual courses in higher education students whose first language is Spanish. This study is a quasi-experimental research that analyzed pre-test and post-test results on a sample of 40 participants (control group of 20 participants and experimental group of 20 participants). The measuring instruments were designed for this specific study and focused on testing the six components of linguistic competence according to CEFR at level A2 (2018). A pilot test was previously conducted, and pre-test (0.81) and post-test (0.98) coefficients were considered acceptable according to Cronbach’s Alpha. This study addressed the following questions: a) How does Duolingo contribute to the development of linguistic competence in higher education students and support English learning in virtual courses via the m-learning methodology? and b) Which components were improved in student´s linguistic competence after using Duolingo? Results revealed a profound improvement in the experimental group participants. The post-test result of the experimental group is superior (M=43.75) compared with the control group (M=30.35), mainly in the phonological control (+5.20) and the orthographic control (+2.65) compared with the control group, whose score slightly increased primarily attributed to the English virtual classes.