H. S. Vyas & Kumardatt Ashok Ganjre
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Smita Phatak & Prof. Suhasini Bhujbal
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Prakash Ashok Jagtap
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Prakash A Jagtap
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H. K. Pandey & Col Shantonu Roy
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Prof. Rajaram Nathaji Wakchaure
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Mr. Ramesh Gavit
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J. Anitha
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Suman Kumari Katoch
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Vinod Raipure & Mrs. Rama Thuse
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Kundan Singh
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Lucy Kalekye Musya & Fredrick M. Kalui
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Mr. A. B. Shah & Ms. Kirti Dharwadkar
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Mallikarjun Kudavakkalagi & Prof. Premlata Sharma
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Vani Nayaki D. C.
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Rama Maikhuri & Shankar Singh
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Ms. Eesha V. Deshpande
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Mrs. Vandana Chaturvedi & N .K. Koushik
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T. Shantisree
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Ram Surve
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Lata S. More & Prof. Asif B. Khatik
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N. N. Landage & Vaishali R. Sonawane
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Ms. Pratibha M. Anpat & Dhananjay Bagul
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Sanjeev Kumar & Shaila Joshi
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Vardhman Singh
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Prof. Lokhande Gokuldas Dattatray & Khurana R. R.
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Namita S. Sahare
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Minakshi Biswal
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Pratibha Virdi & Sandeep Singh
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Anjani Rani
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Manoj Kumar
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Kalinga Ketaki
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Sujata Adamuthe & Prof. Neeta Mhavan
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Sunil Singh Senger
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Balbir Singh Jamwal
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Vijay Dhamane & Ganesh Raut
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Mr. Namesh Kumar
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Yudh Veer
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Mini Amit Arravatiya & Neeti Singh
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Manish Sharma
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Adv. Snehal Chetan Chavan Ghadage Patil
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Navin Varma & Ram Vijay Singh
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Deepak Singh Gill
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Geeta Singh
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Shubhra Shrivastava
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Swati Braham Singh
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Dr. Anita Jave
Recived Date: 2018-10-15 | Accepted Date: 2018-10-31 | Published Date: 2018-11-01
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Artificial Intelligence (AI) is reshaping the landscape of education, ushering in a new era of teaching and learning. This paper conducts a thorough examination of the current and future implications of AI in education, exploring its diverse applications, associated benefits, challenges, and ethical considerations. Intelligent Tutoring Systems (ITS), automated grading, virtual classrooms, and personalized learning paths exemplify the current AI applications transforming traditional and online education. The benefits of AI in education, including enhanced personalization, increased efficiency, and improved accessibility, are evaluated against the challenges of ethical concerns, resistance to change, and the necessity for robust technological infrastructure.
Ethical considerations form a critical aspect of this exploration, delving into issues of data privacy, bias, and transparency within AI-based educational systems. As AI continues to evolve, this paper envisions a future where predictive analytics support student success, collaborative learning environments thrive with AI integration, and lifelong learning initiatives are propelled forward. The conclusion emphasizes the importance of a balanced and ethical approach to the integration of AI in education, offering a call to action for stakeholders to collaboratively shape the future of learning. This comprehensive examination serves as a roadmap for educators, policymakers, and technologists to navigate the complexities of AI's transformative role in education while ensuring a responsible and inclusive digital learning environment.