STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM

Urvashi Suresh Waghmare; Samiksha Sorte; Deepak Dey; Adyashri Shinde; Dhanashree Nikhate; Prof. Madhavi Sadu

STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM

June 2025

Vol-11, Issue-3

Paper ID: 26907

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

Study Nest online learning virtual education adaptive learning educational technology student engagement e-learning platform digital education tools.

Abstract

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.

License

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Author Information

#	Name	Institute / Affiliation
1	Urvashi Suresh Waghmare	Rajiv Gandhi College of Engineering, Research & Technology, Chandrapur, Maharashtra, India.
2	Samiksha Sorte	Rajiv Gandhi College of Engineering, Research & Technology, Chandrapur, Maharashtra, India.
3	Deepak Dey	Rajiv Gandhi College of Engineering, Research & Technology, Chandrapur, Maharashtra, India.
4	Adyashri Shinde	Rajiv Gandhi College of Engineering, Research & Technology, Chandrapur, Maharashtra, India.
5	Dhanashree Nikhate	Rajiv Gandhi College of Engineering, Research & Technology, Chandrapur, Maharashtra, India.
6	Prof. Madhavi Sadu	Rajiv Gandhi College of Engineering, Research & Technology, Chandrapur, Maharashtra, India.

How to Cite

Use the following formats to cite this article in your research.

APA Style

Waghmare, Urvashi Suresh, Sorte, Samiksha, Dey, Deepak, Shinde, Adyashri, Nikhate, Dhanashree, & Sadu, Prof. Madhavi (2025). STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM. International Journal of Advance Research and Innovative Ideas In Education, 11(3), 3673-3677.

MLA Style

Waghmare, Urvashi Suresh, et al. "STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, 2025, pp. 3673-3677.

IEEE Style

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, 2025.

Vancouver Style

Waghmare Urvashi Suresh, Sorte Samiksha, Dey Deepak, Shinde Adyashri, Nikhate Dhanashree, Sadu Prof. Madhavi. STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(3):3673-3677.

Harvard Style

Waghmare, Urvashi Suresh, Sorte, Samiksha, Dey, Deepak, Shinde, Adyashri, Nikhate, Dhanashree, & Sadu, Prof. Madhavi (2025) 'STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM', International Journal of Advance Research and Innovative Ideas In Education, 11(3), pp. 3673-3677.

Chicago Style

Waghmare, Urvashi Suresh, et al. "STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 3673-3677.

Turabian Style

Waghmare, Urvashi Suresh, et al. "STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 3673-3677.