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

Authors

  • Matthew Montebello AI Department, Fcaulty of ICT, University of Malta, Malta https://orcid.org/0000-0002-6177-7548
  • Keith Azzopardi AI Department, Fcaulty of ICT, University of Malta, Malta
  • Gabriel Borg AI Department, Fcaulty of ICT, University of Malta, Malta
  • Karl Cini AI Department, Fcaulty of ICT, University of Malta, Malta
  • Dylan Seychell AI Department, Fcaulty of ICT, University of Malta, Malta
  • Vanessa Camilleri AI Department, Fcaulty of ICT, University of Malta, Malta

DOI:

https://doi.org/10.34190/ecel.24.1.4298

Keywords:

Generative AI, Audio-visual cloning, Digital learning, Ethical AI

Abstract

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.

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Published

2025-10-23