Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2026
|
| Online Access: | https://doi.org/10.5281/zenodo.20092835 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866901570886565888 |
|---|---|
| author | Prabhu, Sunidhi S Bharti, Satyam Pratik Sinha, Nidhi |
| author_facet | Prabhu, Sunidhi S Bharti, Satyam Pratik Sinha, Nidhi |
| contents | <p><span>E-learning has been a game-changer for education, making it flexible and accessible to everyone. But we have noticed two core problems that keep coming up: a lack of true content personalization and the constant risk to user data. In this paper, we will walk through the design of an e-learning platform that we believe solves both. Our system uses a smart, AI-powered recommendation engine to figure out a student's engagement levels, their current knowledge, and what they prefer to learn. This lets us give them content that is customized just for them, which we think will lead to better learning. At the same time, we have built in strong cybersecurity, including encryption, to keep all user data private and safe. If we look at a lot of recent work in AI for education and cybersecurity, we have put together a platform that balances personalization with security in a way that is scalable and respects privacy. </span><span><span class="citation-163">The main takeaway is that you can have a great learner experience and a secure, trustworthy platform at the same time, as long as you build it right from the start. </span></span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20092835 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | An AI-Driven E-Learning Platform: Blending Personalization and Robust Cybersecurity Prabhu, Sunidhi S Bharti, Satyam Pratik Sinha, Nidhi <p><span>E-learning has been a game-changer for education, making it flexible and accessible to everyone. But we have noticed two core problems that keep coming up: a lack of true content personalization and the constant risk to user data. In this paper, we will walk through the design of an e-learning platform that we believe solves both. Our system uses a smart, AI-powered recommendation engine to figure out a student's engagement levels, their current knowledge, and what they prefer to learn. This lets us give them content that is customized just for them, which we think will lead to better learning. At the same time, we have built in strong cybersecurity, including encryption, to keep all user data private and safe. If we look at a lot of recent work in AI for education and cybersecurity, we have put together a platform that balances personalization with security in a way that is scalable and respects privacy. </span><span><span class="citation-163">The main takeaway is that you can have a great learner experience and a secure, trustworthy platform at the same time, as long as you build it right from the start. </span></span></p> |
| title | An AI-Driven E-Learning Platform: Blending Personalization and Robust Cybersecurity |
| url | https://doi.org/10.5281/zenodo.20092835 |