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Implementing GrapesJS in Educational Platforms for Web Development Training on AWS

Mahesh Kumar Bagwani1 , Virendra Kumar Tiwari2 , Ashish Jain3

  1. Dept. of Computer Application, Lakshmi Narain College of Technology (MCA), Bhopal, India.
  2. Dept. of Computer Application, Lakshmi Narain College of Technology (MCA), Bhopal, India.
  3. Dept. of Computer Application, Lakshmi Narain College of Technology (MCA), Bhopal, India.

Section:Research Paper, Product Type: Journal-Paper
Vol.10 , Issue.8 , pp.1-8, Aug-2024


Online published on Aug 31, 2024


Copyright © Mahesh Kumar Bagwani, Virendra Kumar Tiwari, Ashish Jain . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: Mahesh Kumar Bagwani, Virendra Kumar Tiwari, Ashish Jain, “Implementing GrapesJS in Educational Platforms for Web Development Training on AWS,” International Journal of Scientific Research in Multidisciplinary Studies , Vol.10, Issue.8, pp.1-8, 2024.

MLA Style Citation: Mahesh Kumar Bagwani, Virendra Kumar Tiwari, Ashish Jain "Implementing GrapesJS in Educational Platforms for Web Development Training on AWS." International Journal of Scientific Research in Multidisciplinary Studies 10.8 (2024): 1-8.

APA Style Citation: Mahesh Kumar Bagwani, Virendra Kumar Tiwari, Ashish Jain, (2024). Implementing GrapesJS in Educational Platforms for Web Development Training on AWS. International Journal of Scientific Research in Multidisciplinary Studies , 10(8), 1-8.

BibTex Style Citation:
@article{Bagwani_2024,
author = {Mahesh Kumar Bagwani, Virendra Kumar Tiwari, Ashish Jain},
title = {Implementing GrapesJS in Educational Platforms for Web Development Training on AWS},
journal = {International Journal of Scientific Research in Multidisciplinary Studies },
issue_date = {8 2024},
volume = {10},
Issue = {8},
month = {8},
year = {2024},
issn = {2347-2693},
pages = {1-8},
url = {https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=3583},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=3583
TI - Implementing GrapesJS in Educational Platforms for Web Development Training on AWS
T2 - International Journal of Scientific Research in Multidisciplinary Studies
AU - Mahesh Kumar Bagwani, Virendra Kumar Tiwari, Ashish Jain
PY - 2024
DA - 2024/08/31
PB - IJCSE, Indore, INDIA
SP - 1-8
IS - 8
VL - 10
SN - 2347-2693
ER -

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Abstract :
The rapid evolution of web technologies demands innovative educational methods that balance theoretical instruction with practical experience. This paper examines the integration of GrapesJS, an open source web builder, into educational platforms hosted on AWS (Amazon Web Services) to enhance web development training. By leveraging AWS`s cloud infrastructure, educational institutions can provide scalable, secure, and interactive learning environments. The study presents case studies, performance evaluations, and student feedback to assess the impact of this approach on web development education. Results indicate significant improvements in student engagement and learning outcomes, demonstrating the potential of combining GrapesJS and AWS for modern web development training.

Key-Words / Index Term :
GrapesJS, AWS, Web Development Training, Educational Platforms, Cloud Computing, Hands On Learning, Scalability.

References :
[1] A. Smith, "The Impact of Hands-on Learning in Web Development Education," Journal of Educational Technology, Vol.21, No.3, pp.45-58, 2022.
[2] J. Brown, "Cloud Computing in Education: A Review," Educational Technology Review, Vol.19, No.2, pp.76-89, 2021.
[3] M. Lee, "Open Source Tools in Modern Education," Journal of Digital Learning, Vol.18, No.4, pp.59-72, 2020.
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[10] P. Rodriguez, "Scalability in Cloud Based Educational Platforms," Journal of Cloud Computing, Vol.22, No.4, pp.95-112, 2023.
[11] V. K. Tiwari, et al., "Automating AI: Streamlining the Development and Deployment Process," Journal of Information and Computational Science India, Vol.14, No.3, pp.43-47, 2024.
[12] V. K. Tiwari, et al., "Classification of Motor Imaginary in EEG using Feature Optimization and Machine Learning," International Journal of Advanced Networking and Applications (IJANA), Vol.15, No.2, pp.5887-5891, 2023.
[13] Mahesh Kumar Bagwani and Gaurav Kumar Shrivastava, "Performance Comparison of REST API and GraphQL in a Microservices Architecture," In the Proceedings of the 2024 International Conference on Data Science, Artificial Intelligence and Machine Learning, pp.409, 2024.
[14] Mahesh Kumar Bagwani and Gaurav Kumar Shrivastava,"Comparative Analysis of Microservices Architectures: Evaluating Performance, Scalability, and Maintenance” International Journal on Advances in Engineering Technology and Science, Vol.5, No.32, pp.39-43, 2023. DOI: 10.5281/zenodo.10709588
[15] Param Dhingana, Vinamra Khandelwal, Sudeep Ganguly, Dipti Chauhan, “Design Dreamer: ControlNet Based Generative AI Application for Interior Designing”, International journal of Scientific Research In Computer Science and Engineering, Vol.12, Issue.3 , pp.1-7, 2024.
[16] Kritika “Effectiveness of Code Smells on Energy Profiling of Android Applications”, International journal of Scientific Research In Computer Science and Engineering, Vol.12, Issue.3, pp.36-46, 2024.
[17] Sarthak Gupta, “Can We Trust Them? A Critical Evaluation of AI-Generated Content Detection Tools”, International journal of Scientific Research In Computer Science and Engineering, Vol.12, Issue.3, pp.56-65, 2024.
[18] Mahesh Kumar Bagwani, Dr. Virendra Kumar Tiwari and Ripusoodan Sharma, “DEPLOYING A WEB APPLICATION ON AWS AMPLIFY: A COMPREHENSIVE GUIDE” International Journal of Progressive Research In Engineering Management And Science (IJPREMS), India, Vol.4, Issue.8, pp.1570 -1574, 2024. DOI: https://www.doi.org/10.58257/IJPREMS35750.

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