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<title>LiburuEtaKapituluak-Hezkuntza</title>
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<dc:date>2026-04-04T10:50:28Z</dc:date>
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<title>INTEGRITY-AI: Integrating Ethical AI Governance for Responsibility, Innovation, and Transparency in Higher Education</title>
<link>https://hdl.handle.net/20.500.11984/14051</link>
<description>INTEGRITY-AI: Integrating Ethical AI Governance for Responsibility, Innovation, and Transparency in Higher Education
Larrea, Inaki
Ramírez-Montoya, María Soledad; Alvarez Icaza Longoria, Inés
As artificial intelligence (AI) technologies evolve at an unprecedented rate, Higher Education Institutions (HEIs) must face the challenge of integrating AI ethically into academic and administrative systems. While many HEIs are beginning to adopt AI-driven tools, few have taken proactive steps to develop AI-specific governance frameworks that ensure transparency, fairness, and accountability. The INTEGRITY-AI initiative is designed to empower HEIs in Latin America and Europe to take leadership roles in AI governance by forming ethical, sustainable, and literacy-based AI adoption models. The initiative promotes the creation of dedicated AI governance units within HEIs, serving as knowledge hubs that align AI adoption with institutional values and regulatory frameworks. By implementing these structures, HEIs will establish replicable models that ensure AI is used to enhance academic excellence and societal impact. The initiative addresses practical concerns by setting actionable steps for responsible AI implementation. Key expected outcomes include (a) strengthening institutional capacity for ethical AI governance, (b) increasing AI literacy among educators and students, (c) establishing adaptable AI policy frameworks that can be scaled across Latin America, and (d) fostering inter-institutional collaboration to drive long-term sustainable AI adoption. By fostering interdisciplinary collaboration and integrating AI governance into institutional decision-making, INTEGRITY-AI envisions a future where HEIs lead the ethical AI movement in higher education, creating a balanced, transparent, and responsible AI ecosystem that advances learning and research opportunities.
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<dc:date>2026-02-19T00:00:00Z</dc:date>
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<title>Scaffolding Students´ Performance of Oral Cognitive Discourse Functions through Classroom Interaction</title>
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<description>Scaffolding Students´ Performance of Oral Cognitive Discourse Functions through Classroom Interaction
Lersundi, Amaia; Garro, Eneritz
Imaz Agirre, Ainara; Arias-Hermoso, Roberto
This book presents empirical evidence of the academic and disciplinary literacies that learners engage in in educational contexts. The chapters focus on the languages of schooling (in first, second or foreign language contexts) across primary, secondary and higher education.
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<title>Subject-Specific Vocabulary in Secondary Science: Triangulating Students' Writing, Classroom Interaction and Textbooks</title>
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<description>Subject-Specific Vocabulary in Secondary Science: Triangulating Students' Writing, Classroom Interaction and Textbooks
Arias-Hermoso, Roberto; Imaz Agirre, Ainara; Romero-Garmendia, Irati
Imaz Agirre, Ainara; Arias-Hermoso, Roberto
This book presents empirical evidence of the academic and disciplinary literacies that learners engage in in educational contexts. The chapters focus on the languages of schooling (in first, second or foreign language contexts) across primary, secondary and higher education.
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<title>SELFIE WBL guidelines</title>
<link>https://hdl.handle.net/20.500.11984/14048</link>
<description>SELFIE WBL guidelines
Arroyo-Sagasta, Amaia; Zubizarreta Pagaldai, Ane
Herrero, César
The session held at the workshop was a contrasting session for the case&#13;
study of the implementation of the SELFIE WBL tool in a VET institution&#13;
of the Basque Country (Spain) and based on this work, elaborate some&#13;
recommendations and guidelines for the different SELFIE WBL users. The&#13;
researchers considered this workshop session as a part of the case study&#13;
process, a validation work.
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<dc:date>2024-01-01T00:00:00Z</dc:date>
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