Designing of Creator’s Information Hub using Machine Learning

The proliferation of educational content on platforms like YouTube has transformed digital learning, yet it presents challenges in effective creation, dissemination, and impact assessment. This paper proposes a strategic initiative to collaborate with 6,000 active educational YouTubers to enhance global educational outreach. Central to this initiative is the compilation and analysis of a comprehensive dataset containing vital information about content creators and their audiences. Leveraging advanced machine learning algorithms, the analysis aims to identify collaboration opportunities, optimize engagement strategies, enhance content relevance and impact, facilitate knowledge sharing, and measure outcomes. The problem statement highlights fragmentation in educational content, lack of data-driven insights, and suboptimal collaboration opportunities. Addressing these challenges requires a structured approach to connect creators, leverage data analytics, and establish a collaborative ecosystem for enriching educational experiences worldwide.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/idicaiei61867.2024.10842714
Primary Topic
Education and Learning Interventions
Type
article
Field-Weighted Citation Impact
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article

Designing of Creator’s Information Hub using Machine Learning

Shilpa P. Gaikwad, Ujwalla Gawande, Rita Bhawalkar, Diksha Gabhane et al.
Education and Learning Interventions
article

Designing of Creator’s Information Hub using Machine Learning

Shilpa P. Gaikwad, Ujwalla Gawande, Rita Bhawalkar, Diksha Gabhane, Swati Gajarlewar
article en

Abstract

The proliferation of educational content on platforms like YouTube has transformed digital learning, yet it presents challenges in effective creation, dissemination, and impact assessment. This paper proposes a strategic initiative to collaborate with 6,000 active educational YouTubers to enhance global educational outreach. Central to this initiative is the compilation and analysis of a comprehensive dataset containing vital information about content creators and their audiences. Leveraging advanced machine learning algorithms, the analysis aims to identify collaboration opportunities, optimize engagement strategies, enhance content relevance and impact, facilitate knowledge sharing, and measure outcomes. The problem statement highlights fragmentation in educational content, lack of data-driven insights, and suboptimal collaboration opportunities. Addressing these challenges requires a structured approach to connect creators, leverage data analytics, and establish a collaborative ecosystem for enriching educational experiences worldwide.

Yashwantrao Chavan Maharashtra Open University (IN)
Openalex Percentile: Top 59%
Education and Learning Interventions
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