JOURNAL ARTICLE

Artificial Intelligence Powered Students Hub for Knowledge and Skills Share-A Review

Adarsh KaranthDheemanth S HMohammed Irfan GulagundiMohan Kumar SMonisha Aradhya C M

Year: 2026 Journal:   International Journal of Innovative Research in Computer Science & Technology Vol: 14 (1)Pages: 63-70

Abstract

AI has gained significant traction in recent years as a potentially useful tool for resolving long-standing problems with student learning, particularly those related to engagement, practical skill development, and individualized support. Our experience creating the "AI Powered Students Hub," a web-based platform intended to enhance conventional teaching techniques, is discussed in this paper. Many of the methods used today have trouble with things like giving students immediate assistance outside of class or coming up with useful ways for them to learn from one another. In order to provide students with immediate academic support, the Hub incorporates an intelligent chatbot. Additionally, we created a dynamic skill-sharing module that makes it simple for students to share their knowledge and skills. The platform includes activities that help users stay active over time. Users learn through discussion and by sharing their personal knowledge. The system works through joint effort rather than one-way communication. A notable aspect of the system is how intelligent assistance supports learning while collective knowledge within the community continues to grow naturally. All things considered, we view the Hub as a useful advancement in making education more responsive, collaborative, and effective at giving students the practical skills they will need for their future employment.

Keywords:

Metrics

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FWCI (Field Weighted Citation Impact)
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Refs
0.92
Citation Normalized Percentile
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Topics

Intelligent Tutoring Systems and Adaptive Learning
Physical Sciences →  Computer Science →  Artificial Intelligence
AI in Service Interactions
Physical Sciences →  Computer Science →  Artificial Intelligence
Online Learning and Analytics
Physical Sciences →  Computer Science →  Computer Science Applications

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