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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM35423

Feedback Forge - A Tool to Evaluate Your Answer Using AI

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM35423

Volume:

8 |

6 |

Jun 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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10.55041/IJSREM35423

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AB

Atul Bhardwaj

RG

Riya Gupta

PSKJ

Prof. Suman Kumar Jha

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Abstract

Feedback Forge is an innovative online platform designed to enhance users’ writing skills through personalized feedback. Traditional feedback mechanisms often struggle to provide timely and relevant guidance, hindering skill development. In response, Feedback Forge leverages advanced technologies, including artificial intelligence and machine learning, to deliver tailored feedback at scale. This paper explores the landscape of feedback mechanisms, highlighting the limitations of traditional methods and the potential of technology-driven solutions. Key themes include the importance of feedback in skill development, challenges faced by traditional mechanisms, and the promise of technology-driven approaches. Moreover, Feedback Forge addresses a critical need in education and professional development by democratizing access to high-quality feedback. It offers a solution to individuals seeking to refine their writing skills independently, without the constraints of traditional feedback channels. By providing personalized feedback, Feedback Forge empowers users to identify areas for improvement, refine their writing techniques, and achieve their learning objectives effectively. In conclusion, Feedback Forge represents a significant advancement in feedback provision, bridging the gap between traditional practices and modern technology. Its implementation underscores the importance of leveraging AI-driven analysis to optimize learning outcomes in the digital age. This paper advocates for continued exploration and evaluation of technology-driven feedback mechanisms to promote skill development and lifelong learning in diverse contexts.

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Cite This Article

Atul Bhardwaj, Riya Gupta, Prof. Suman Kumar Jha, "Feedback Forge - A Tool to Evaluate Your Answer Using AI," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 6, Jun 2024. https://doi.org/10.55041/IJSREM35423

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Publication Date

3/5/2024

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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