Authors : Yuvraj Singh; Dhirender Pratap Singh; Naveen Chander; Yash Pratap Singh; Tanuj; Parth Singh

Volume/Issue : Volume 9 - 2024, Issue 11 - November

Google Scholar : https://tinyurl.com/ywkne873

Scribd : https://tinyurl.com/2s3j63bz

DOI : https://doi.org/10.38124/ijisrt/IJISRT24NOV431

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The use of generate AI in shapingt education and skills’ acquisition has ensured that learners have a personalized learning plan, curriculum and test preparations and administra- tion. Through the help of the current and improved AI models, educators can design learning environments that enhance and increase students’ interest and achievement in several subjects.[1] Consequently, this paper will also explore how generative AI can be used in practice for purposes like writing and teaching, generating and providing real-time feedback, and even recreatingscenarios for skills training which are as close to the real life as possible. Though useful, generative AI brings several concerns such as data privacy and algorithmic bias into the limelight. This work also focuses on the methods that need to be followedin order to make ethical integration of AI while introducing these technologies in education to provide access to learning for all as well as prepare the students and educators for the use of technology in their studies and work.

Keywords : Generative AI, Automated Content Creation, Interactive Tutoring, Real-Time Feedback, Educational Technology, Ethical Considerations, Data Privacy, Algorithmic Bias, Responsible AI Integration.

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