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Title: :  STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM
PaperId: :  26907
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26907
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Urvashi Suresh WaghmareRajiv Gandhi College of Engineering, Research & Technology, Chandrapur, Maharashtra, India.
Samiksha SorteRajiv Gandhi College of Engineering, Research & Technology, Chandrapur, Maharashtra, India.
Deepak DeyRajiv Gandhi College of Engineering, Research & Technology, Chandrapur, Maharashtra, India.
Adyashri ShindeRajiv Gandhi College of Engineering, Research & Technology, Chandrapur, Maharashtra, India.
Dhanashree NikhateRajiv Gandhi College of Engineering, Research & Technology, Chandrapur, Maharashtra, India.
Prof. Madhavi SaduRajiv Gandhi College of Engineering, Research & Technology, Chandrapur, Maharashtra, India.

Abstract

Computer Science and Engineering
Study Nest, online learning, virtual education, adaptive learning, educational technology, student engagement, e-learning platform, digital education tools.
The digital era has transformed education, making online learning a vital component of academic and professional development. Study Nest, an innovative online learning platform, integrates artificial intelligence, interactive resources, and personalized learning paths to enhance student engagement and outcomes. This paper examines Study Nest's impact on education, analyzing its features, effectiveness, challenges, and potential future developments. By evaluating existing literature and conducting user surveys, this study provides insights into Study Nest’s role in the evolving landscape of digital learning. This paper aims to examine the multifaceted impact of Study Nest on contemporary education by exploring its core features, instructional design, and the effectiveness of its learning strategies. Furthermore, it evaluates how the platform addresses common challenges in virtual learning environments, such as student motivation, accessibility, and digital literacy.

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IJARIIE Urvashi Suresh Waghmare, Samiksha Sorte, Deepak Dey, Adyashri Shinde, Dhanashree Nikhate, and Prof. Madhavi Sadu. "STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 3673-3677
MLA Urvashi Suresh Waghmare, Samiksha Sorte, Deepak Dey, Adyashri Shinde, Dhanashree Nikhate, and Prof. Madhavi Sadu. "STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 3673-3677.
APA Urvashi Suresh Waghmare, Samiksha Sorte, Deepak Dey, Adyashri Shinde, Dhanashree Nikhate, & Prof. Madhavi Sadu. (2025). STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 3673-3677.
Chicago Urvashi Suresh Waghmare, Samiksha Sorte, Deepak Dey, Adyashri Shinde, Dhanashree Nikhate, and Prof. Madhavi Sadu. "STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 3673-3677.
Oxford Urvashi Suresh Waghmare, Samiksha Sorte, Deepak Dey, Adyashri Shinde, Dhanashree Nikhate, and Prof. Madhavi Sadu. 'STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 3673-3677. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/STUDYNEST__ONLINE_LEARNING_PLATFORM_WITH_AI_RECOMMENDATION_SYSTEM_ijariie26907.pdf (Accessed : ).
Harvard Urvashi Suresh Waghmare, Samiksha Sorte, Deepak Dey, Adyashri Shinde, Dhanashree Nikhate, and Prof. Madhavi Sadu. (2025) 'STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 3673-3677IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/STUDYNEST__ONLINE_LEARNING_PLATFORM_WITH_AI_RECOMMENDATION_SYSTEM_ijariie26907.pdf (Accessed : )
IEEE Urvashi Suresh Waghmare, Samiksha Sorte, Deepak Dey, Adyashri Shinde, Dhanashree Nikhate, and Prof. Madhavi Sadu, "STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 3673-3677, May-Jun 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/STUDYNEST__ONLINE_LEARNING_PLATFORM_WITH_AI_RECOMMENDATION_SYSTEM_ijariie26907.pdf [Accessed : ].
Turabian Urvashi Suresh Waghmare, Samiksha Sorte, Deepak Dey, Adyashri Shinde, Dhanashree Nikhate, and Prof. Madhavi Sadu. "STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver Urvashi Suresh Waghmare, Samiksha Sorte, Deepak Dey, Adyashri Shinde, Dhanashree Nikhate, and Prof. Madhavi Sadu. STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 3673-3677. Available from: https://ijariie.com/AdminUploadPdf/STUDYNEST__ONLINE_LEARNING_PLATFORM_WITH_AI_RECOMMENDATION_SYSTEM_ijariie26907.pdf
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