Year: 2025
Type: article
Abstract: The integration of Generative AI has facilitated innovative tools that are transforming content creation in the educational landscape, ushering in a shift towards more efficient and accessible learning paradigms. In this project, AI is leveraged to automate podcast production, replicating text-based educational content into high-fidelity audio content that caters to varied learning needs. Leveraging advanced frameworks like Large Language Models (LLMs) and Text-to-Speech (TTS) technologies, the system streamlines otherwise time-consuming processes like scripting, recording, and editing, thus speeding up the content creation process and improving accessibility for instructors. In addition, the system automates title image and metadata generation, which improves discoverability and professionalism of each podcast episode. By combining multiple AI capabilities, this project demonstrates the potential of Generative AI to personalize content, improve accessibility, and improve efficiency in educational environments. It enables personalized learning pathways and empowers educators to deliver more engaging and effective content, with the potential to reach an international audience and fit into different educational environments with ease. Additionally, this approach reduces the resource load of educational institutions, enabling them to deliver high-quality audio content even with an availability of limited resources and staff.
Institution: AISSMS Institute of Information Technology
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4409764721