Empowering Learning: Crafting Educational Podcasts with GEN AI

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.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-24
DOI
https://doi.org/10.22214/ijraset.2025.69144
Primary Topic
Innovations in Educational Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Empowering Learning: Crafting Educational Podcasts with GEN AI

Shagufta Mohammad Sayeed Sheikh
International Journal for Research in Applied Science and Engineering Technology
Innovations in Educational Methods
article

Empowering Learning: Crafting Educational Podcasts with GEN AI

Shagufta Mohammad Sayeed Sheikh
article en

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.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Centre for Artificial Intelligence and Robotics (IN)
Openalex Percentile: Top 92%
Innovations in Educational Methods
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Empowering Learning: Crafting Educational Podcasts with GEN AI — Shagufta Mohammad Sayeed Sheikh · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS