DSpace 9

DSpace is the world leading open source repository platform that enables organisations to:

  • easily ingest documents, audio, video, datasets and their corresponding Dublin Core metadata
  • open up this content to local and global audiences, thanks to the OAI-PMH interface and Google Scholar optimizations
  • issue permanent urls and trustworthy identifiers, including optional integrations with handle.net and DataCite DOI

Join an international community of leading institutions using DSpace.

The test user accounts below have their password set to the name of this software in lowercase.

  • Demo Site Administrator = dspacedemo+admin@gmail.com
  • Demo Community Administrator = dspacedemo+commadmin@gmail.com
  • Demo Collection Administrator = dspacedemo+colladmin@gmail.com
  • Demo Submitter = dspacedemo+submit@gmail.com
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Communities in DSpace

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Now showing 1 - 5 of 26

Recent Submissions

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Research conversation with CLEHN Lab
(GRIAL reserarch group, 2025-05-16) García-Peñalvo, Francisco José; Rodríguez-Conde, María José
Research coversation with Le Laboratoire Communication, Linguistique, Éducation et Humanités (CLEHN) of the Mohamed Premiere University at Oujda.
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Mediated Approach to Addressing Reading Diversity in German Classrooms
(2025-04-27) Therón, Roberto; Vázquez-Ingelmo, Andrea; García-Holgado, Alicia; García-Peñalvo, Francisco José; Shoeibi, Nastaran
The LATILL (Level-Adequate Texts in Language Learning) project was initiated to address these educational needs, primarily focusing on German as a Foreign Language (GFL) and Second Language (GSL) teachers. This initiative is particularly timely given the academic commitment to improving reading comprehension within German language curricula. One of the fundamental challenges in language education is the sourcing of suitable authentic texts. Educators often turn to news articles, blogs, or literary excerpts, but these sources may have complex syntactic structures, specialized jargon, or cultural references that exceed the learners’ proficiency levels. Moreover, copyright laws restrict the reproduction and distribution of many high-quality materials, limiting the diversity of texts educators can offer to their students. Recognizing these challenges, LATILL offers a personalized learning platform designed to enhance German language reading comprehension among European youth. Developed around a centralized corpus of texts sourced from public domains and open-access materials, the platform addresses the limitations of traditional teaching methods. LATILL integrates various AI technologies to streamline the creation of educational resources, especially utilizing generative AI to provide real-time translations, summaries, and visual aids. This paper explores the design, implementation, and evaluation of LATILL, with a specific focus on its use of generative AI and human-computer interaction (HCI) to address these challenges. It will highlight the design decisions, the integration of AI features, and the user feedback that informed its iterative development.
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Aprendizaje activo y juegos en la formación docente: Promoviendo ciudadanía activa, igualdad e inclusión
(Octaedro, 2025-05-12) García-Holgado, Alicia; Verdugo-Castro, Sonia; García-Peñalvo, Francisco José; García-Holgado, Lucía; Olmos-Migueláñez, Susana
La Unión Europea incorpora entre sus objetivos para 2030 potenciar el compromiso cívico, con especial atención a los jóvenes. Uno de los principales desafíos es la integración de valores cívicos en la educación contemporánea, enfocándose en la promoción de la ciudadanía activa, la igualdad y la inclusión entre los jóvenes. El presente capítulo propone una metodología innovadora que combina juegos y estrategias de aprendizaje activo en la formación de educadores y futuros docentes, tanto en España como en Latinoamérica. Utilizando como herramienta principal el juego serio ENGAME y el manual didáctico INGAME, este enfoque busca sensibilizar y comprometer a los participantes en temas cruciales como la igualdad de género, la inclusión social y la ciudadanía activa. Los resultados de la experiencia indican que el empleo de estas herramientas lúdicas y educativas resulta ser una estrategia efectiva para fomentar la implicación y el pensamiento crítico de los participantes en el pro-ceso de cambio social
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From Vision to Reality: AI at the Heart of University Digital Transformation
(Grupo GRIAL, 2025-05-17) García-Peñalvo, Francisco José
Keynote at the 2ème Edition du Colloque International Communication et Transformation Numérique: Enjeux, Dynamiques Pratiques Innovantes, held 15-17 May 2025 in Oujda and Berkane, Maroc. The digital transformation of higher education has evolved from a technical aspiration into an institutional imperative. Catalysed by the COVID-19 pandemic, universities worldwide were forced into a rapid digital shift, revealing profound structural, pedagogical, and social vulnerabilities. While technology was essential to continuity, the most critical insight from this experience is that digital transformation is not just about tools or platforms—it is, fundamentally, about people, culture, and mindset. This keynote explores how artificial intelligence (AI), and more specifically, generative AI (GenAI), has become both a catalyst and a challenge in the evolving landscape of higher education. The arrival of tools like ChatGPT and other GenAI models has created an inflection point between vision and reality. No longer confined to specialized research domains, AI has entered the everyday fabric of teaching, learning, and governance. It generates new possibilities for personalization, creativity, and operational efficiency, but also introduces complex ethical, social, and strategic dilemmas. A central thesis of this keynote is that AI adoption must be governed by a values-driven, participatory, and strategic approach. Drawing on international frameworks, including the EU Artificial Intelligence Act, UNESCO recommendations, and the Safe AI in Education Manifesto, the presentation outlines how universities can move from fragmented experimentation to coherent AI governance. This involves aligning institutional strategies with legal and ethical standards, promoting human oversight, and ensuring transparency, inclusivity, and innovation. The presentation also examines the perceptions, concerns, and aspirations of key university stakeholders (teachers, students, researchers, and decision-makers) in relation to AI. For teachers, GenAI offers support in creating content, diversifying assessments, and facilitating personalized learning. Yet it also raises concerns about authorship, evaluation integrity, and overdependence on technology. Students benefit from AI-enhanced creativity, productivity, and language support, but face risks related to superficial learning, equity, and ethical boundaries. Researchers gain efficiency through automation and synthetic data, but must contend with challenges around source reliability, academic honesty, and privacy. Meanwhile, university leadership is tasked with balancing innovation and competitiveness with accountability and sustainability. To address these complexities, the keynote proposes a structured governance framework for AI in universities, built on four core principles: 1. Legality: AI must comply with existing regulations such as the GDPR and the EU AI Act. 2. Neutrality: Systems must be designed to mitigate algorithmic and data biases. 3. Transparency: All processes involving AI should be explainable and open to scrutiny. 4. Innovation: Responsible experimentation must be encouraged to foster institutional growth. These principles translate into practical governance structures, including the creation or reinforcement of: • An AI Commission for strategic direction and institutional coordination. • An Ethics Committee to oversee fairness and human dignity in AI use. • A Data Protection Officer with AI-specific responsibilities. • A Technical Services Unit to ensure operational alignment. • An Expert Advisory Group with interdisciplinary insight to assess evolving challenges. This ecosystemic approach enables universities to integrate AI into their digital transformation strategies while protecting their academic mission and institutional integrity. Finally, the keynote emphasizes that universities must not merely react to AI but lead its ethical integration and pedagogical reimagination. The goal is not to build AI-powered systems, but to cultivate an AI-augmented academic culture, a culture in which critical thinking, collaboration, and human-centred innovation remain at the core of educational practice. In conclusion, this keynote is a call to action for universities to move from vision to reality by embracing AI not only as a technological opportunity but as a profound responsibility. By investing in governance structures, training programs, and ethical foresight, universities can position themselves as stewards of the digital era, ensuring that the rise of AI strengthens, rather than disrupts, the foundational values of education.
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Aspectos claves para publicar en revistas de alto impacto
(Grupo GRIAL, 2025-05-07) García-Peñalvo, Francisco José
El webinar “Aspectos claves para publicar en revistas de alto impacto” se impartió el 7 de mayo de 2025 en el contexto de las IFE Talks del Tecnológico de Monterrey. El webinar tiene como finalidad ofrecer una guía práctica y estratégica para la publicación en revistas científicas de alto impacto, no solo como meta académica, sino como una herramienta para lograr visibilidad, reconocimiento y posicionamiento dentro de la comunidad científica global. La sesión se organiza en torno a cuatro objetivos fundamentales: comprender el ecosistema editorial internacional, identificar los elementos diferenciadores de un manuscrito, adoptar una visión estratégica de la publicación y evitar errores comunes. Se inicia con un análisis del ecosistema editorial, explicando qué caracteriza a una revista de alto impacto: alta visibilidad, frecuencia de citación y su inclusión en bases de datos como Web of Science o Scopus. Se introducen indicadores como el Journal Impact Factor (JIF), Journal Citation Indicator (JCI), el SJR y CiteScore. A su vez, se advierte sobre el uso excesivo de estos indicadores, destacando las críticas de iniciativas como CoARA, que abogan por una evaluación más justa de la calidad científica. Antes de escribir, se subraya la importancia de haber desarrollado adecuadamente el método científico, formulado preguntas relevantes, y seleccionado el tipo de artículo a redactar. Se hace énfasis en los acuerdos éticos de autoría, utilizando el sistema CRediT para describir la contribución de cada autor, y se presenta un ecosistema tecnológico para la escritura eficiente. Herramientas como Overleaf, Google Docs y ScienHub son recomendadas para la redacción colaborativa. Además, se destaca el uso ético de IA generativa y la integración de gestores de bibliografía como Zotero o EndNote. La redacción del manuscrito se organiza en torno a la estructura IMRaD (Introducción, Métodos, Resultados y Discusión). Cada sección se detalla con recomendaciones prácticas sobre contenido, estilo, claridad y rigor metodológico. Se ofrecen consejos sobre cómo redactar un título eficaz, construir un resumen comprensivo y definir palabras clave relevantes. Se insiste en cuidar aspectos formales como la coherencia, las referencias actualizadas y el cumplimiento estricto de las normas de estilo de cada revista. En cuanto a la estrategia de envío, se abordan los criterios para seleccionar la revista adecuada, cómo adaptar el manuscrito a sus directrices, y el envío correcto incluyendo la preparación de metadatos, imágenes y carta al editor. Esta última debe ser clara, concisa, profesional y personalizada. Ante la respuesta de la revista, se dan pautas para responder a los revisores de forma respetuosa y argumentada, facilitando la revisión con formatos claros y documentación precisa. Si el artículo es rechazado, se recomienda analizar los comentarios, reflexionar sobre mejoras, y considerar otras revistas candidatas. Finalmente, se ofrece una estrategia post-publicación que incluye la difusión en redes académicas y sociales, archivo en repositorios, seguimiento del impacto (citas y altmetrics), y participación en eventos académicos. Se cierra con una lista de errores frecuentes y consejos clave para una publicación científica exitosa, basada en el método, la claridad, la ética y una estrategia editorial bien definida.