Design and Evaluation of an Ai-Enhanced Web Development Education Platform Using GrapesJS and Aws Services

The evolution of educational technologies has driven the need for personalized and scalable platforms in web development training. This study presents the integration of GrapesJS, a visual web builder, with Amazon Web Services (AWS), enhanced by AI-powered personalization through AWS SageMaker. The goal is to deliver adaptive, engaging, and efficient learning experiences. The paper details the system architecture, implementation strategy, and comparative analysis of student engagement and learning outcomes in AI-personalized versus traditional environments. Findings show that the AI-enhanced platform significantly improves learner motivation, task completion rates, and comprehension, thereby validating the approach for broader educational deployment.

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Publication Details

Journal
International Journal of Advanced Networking and Applications
Published
2025-01-01
DOI
https://doi.org/10.35444/ijana.2025.17104
Primary Topic
Web Applications and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Design and Evaluation of an Ai-Enhanced Web Development Education Platform Using GrapesJS and Aws Services

Virendra Kumar Tiwari, Sanjay Thakur, Jitendra Agrawal
International Journal of Advanced Networking and Applications
Web Applications and Data Management
article

Design and Evaluation of an Ai-Enhanced Web Development Education Platform Using GrapesJS and Aws Services

Virendra Kumar Tiwari, Sanjay Thakur, Jitendra Agrawal
article en

Abstract

The evolution of educational technologies has driven the need for personalized and scalable platforms in web development training. This study presents the integration of GrapesJS, a visual web builder, with Amazon Web Services (AWS), enhanced by AI-powered personalization through AWS SageMaker. The goal is to deliver adaptive, engaging, and efficient learning experiences. The paper details the system architecture, implementation strategy, and comparative analysis of student engagement and learning outcomes in AI-personalized versus traditional environments. Findings show that the AI-enhanced platform significantly improves learner motivation, task completion rates, and comprehension, thereby validating the approach for broader educational deployment.

International Journal of Advanced Networking and ApplicationsVol. 17(01)
ASA College (US), Chameli Devi Group of Institutions (IN)
Openalex Percentile: Top 75%
Web Applications and Data Management
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