Leveraging Generative AI and Audio-Visual Cloning to Democratise Digital Learning

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:European Conference on e-Learning (Oct 2025), p. 485-494
1. Verfasser: Montebello, Matthew
Weitere Verfasser: Azzopardi, Keith, Borg, Gabriel, Cini, Karl, Seychell, Dylan, Camilleri, Vanessa
Veröffentlicht:
Academic Conferences International Limited
Schlagworte:
Online-Zugang:Citation/Abstract
Full Text
Full Text - PDF
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!

MARC

LEADER 00000nab a2200000uu 4500
001 3279067038
003 UK-CbPIL
022 |a 2048-8637 
022 |a 2048-8645 
035 |a 3279067038 
045 2 |b d20251001  |b d20251031 
084 |a 183529  |2 nlm 
100 1 |a Montebello, Matthew 
245 1 |a Leveraging Generative AI and Audio-Visual Cloning to Democratise Digital Learning 
260 |b Academic Conferences International Limited  |c Oct 2025 
513 |a Conference Proceedings 
520 3 |a This paper explores the transformative potential of Generative Artificial Intelligence (GenAI) and audio-visual cloning technologies in reshaping digital education, grounded in the ongoing project ACCLAIMED (Artificial Intelligence Content Cloning of Language-Agnostic Media for Education Democratisation). As education systems increasingly rely on digital platforms, the imperative to ensure accessibility, inclusion, and ethical integrity becomes more pronounced. ACCLAIMED introduces a novel triadic framework, namely, Course Generator, Guardrail, and AI-Renderer, to address elearning challenges. The Course Generator collaborates with educators to produce comprehensive, pedagogically sound multilingual content. The Guardrail ensures human oversight, reinforcing societal norms, factual accuracy, and ethical alignment. The AI-Renderer transforms materials into realistic, human-like audio-visual formats, delivering engaging, culturally sensitive learning experiences. We discuss how ACCLAIMED advances the state-of-the-art by surpassing conventional AI tutors and adaptive learning systems through deeper pedagogical integration and ethical AI moderation. A key feature is its ability to deliver high-quality content across multiple languages, removing linguistic barriers and fostering educational equity especially for underserved or non-English-speaking populations. The paper also critically addresses broader issues: ethical concerns around AI-generated content, privacy and data protection (GDPR, EU AI Act), and digital sovereignty. Consideration is given to how such innovations can bridge or deepen the digital divide depending on their responsible and inclusive deployment. Ultimately, this paper calls for a reconceptualisation of digital learning, not merely as content delivery but as an inclusive, ethical, and adaptive ecosystem. It positions ACCLAIMED as a forward-looking blueprint for educational technologies prioritising innovation, equity, and societal impact. 
653 |a Technological change 
653 |a Training 
653 |a Cognitive style 
653 |a Educational technology 
653 |a Ethical standards 
653 |a Teachers 
653 |a Innovations 
653 |a Tutoring 
653 |a Adaptive systems 
653 |a Multimedia 
653 |a Education 
653 |a Transparency 
653 |a Online instruction 
653 |a Linguistics 
653 |a General Data Protection Regulation 
653 |a Digital divide 
653 |a Language 
653 |a Democratization 
653 |a Generative artificial intelligence 
653 |a Renderers 
653 |a Adaptation 
653 |a Privacy 
653 |a Ethics 
653 |a Cloning 
653 |a Accountability 
653 |a Guide rails 
653 |a False information 
653 |a Natural language processing 
653 |a Multilingualism 
653 |a Educational Practices 
653 |a Compliance (Legal) 
653 |a Access to Computers 
653 |a Educational Innovation 
653 |a Individualized Instruction 
653 |a Alignment (Education) 
653 |a Access to Education 
653 |a Educational Objectives 
653 |a Artificial Intelligence 
653 |a Formative Evaluation 
653 |a Automation 
653 |a Futures (of Society) 
653 |a Educational Environment 
653 |a Learner Engagement 
653 |a Instructional Innovation 
653 |a Educational Resources 
653 |a Influence of Technology 
653 |a Equal Education 
653 |a Electronic Learning 
653 |a English Learners 
653 |a Educational Experience 
653 |a Academic Standards 
653 |a Educational Equity (Finance) 
700 1 |a Azzopardi, Keith 
700 1 |a Borg, Gabriel 
700 1 |a Cini, Karl 
700 1 |a Seychell, Dylan 
700 1 |a Camilleri, Vanessa 
773 0 |t European Conference on e-Learning  |g (Oct 2025), p. 485-494 
786 0 |d ProQuest  |t Education Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3279067038/abstract/embedded/J7RWLIQ9I3C9JK51?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3279067038/fulltext/embedded/J7RWLIQ9I3C9JK51?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3279067038/fulltextPDF/embedded/J7RWLIQ9I3C9JK51?source=fedsrch