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Item type:Publication, Integrating Automation and Artificial Intelligence into Educational Practice(2026) ;Adrián Vargas-M. ;Esteban Fabricio Gonzabay-Jiménez ;Homero J. VelasteguíDigital transformation has introduced technologies such as artificial intelligence (AI), automation, and learning analytics into education, generating more personalized, efficient, and data-driven learning environments. These innovations support intelligent tutoring systems, automated feedback, performance prediction, and administrative decision making. However, their implementation also presents ethical, social, and technical risks that remain insufficiently understood and regulated. This study presents a narrative review of scientific literature published between 2021 and 2025, aiming to analyze the uses, benefits, and challenges of AI in educational contexts, with a particular focus on learning analytics. Articles were selected from major databases such as Scopus, IEEE, SpringerLink, and Web of Science, prioritizing studies that offered practical applications and a critical lens. The review highlights promising developments, including systems that enhance personalized learning trajectories, reduce grading time significantly, and predict student dropout risk with high accuracy. Nonetheless, it also exposes significant concerns, such as the reinforcement of algorithmic biases, excessive surveillance, and the exacerbation of digital inequalities—especially in Latin America, where a substantial portion of students still lack stable access to quality Internet. These findings underscore the dual nature of AI in education: while it has the potential to improve quality and equity, its effectiveness depends on ethical governance, equitable infrastructure, and meaningful teacher training. The review concludes that AI should be used to complement, rather than replace educators’ roles, placing emphasis on learner needs, human interaction, and contextualized pedagogy. Achieving a more human-centered and inclusive education will require a deliberate balance between technological innovation and professional educational judgment. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.7 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Sustainable Innovation in Product Development: Current Challenges and Opportunities(2025) ;Homero J. Velasteguí ;Esteban Moreno-Vega ;Jefferson MarcallaIn the current context of industrial and environmental transformation, the development of sustainable products has become a key strategy to address the challenges of climate change and the depletion of natural resources. Companies are rethinking their production systems to meet growing social, regulatory, and environmental demands. Despite these efforts, the shift toward sustainable models still face significant challenges, including fragmented knowledge, lack of access to digital tools in some regions, and limited integration of interdisciplinary approaches. This article presents a narrative review aimed at synthesizing theoretical and practical advances in sustainable product development from a systemic perspective that incorporates technological, design, environmental, and social dimensions. The methodology involved a narrative literature review of recent scientific publications related to technological innovation, circular economy, and industrial sustainability. The selected content was organized into three key thematic areas: (1) technological innovation and industrial sustainability, (2) sustainable design and circular economy, and (3) environmental and social impact alongside current and future challenges. Key findings show that digital technologies such as the Internet of Things, artificial intelligence and blockchain are transforming industrial processes by improving energy efficiency, traceability, and decision-making capabilities. At the same time, sustainable design practices and the use of renewable or waste-based materials, such as natural fibber and agricultural by-products, offer viable alternatives to conventional production. Persistent barriers include resistance to change, regulatory gaps, and unequal access to innovation. The review concludes that advancing sustainable product development requires integrated, collaborative, and flexible strategies that align technological progress with social inclusion and environmental regeneration.17
