AI–Based Learning Platform for Rural Students Education Using Cloud
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Le résumé fourni par la source
Abstract - Obtaining high-quality education continues to be a challenge difficulty in rural areas due to a lack of skilled teachers, inadequate infrastructure, out-of-date instructional materials, Restricted internet connectivity. These issues add to a widening disparity between urban and rural students, limiting their academic and professional chances. To solve this, the initiative introduces an AI-driven platform hosted in the cloud and tailored exclusively for rural pupils. The The site features a layout comprising video tutorials, notes quizzes, along, with activities. It employs AI to monitor student progress and deliver personalized information tailored to personalized learning requirements. This system, integrating AI as well, as technology guarantees adaptable, expandable and accessible education. This approach aims to allow children to acquire knowledge independently and bridge the educational gap between rural and urban areas. Even in settings with limited resources, cloud-based deployment guarantees scalability, affordable accessibility, and smooth delivery of multimedia educational content. Additionally, the system utilizes data analytics to monitor students’ advance and provide educators and learners personalized feedback. The proposed platform significantly boosts learning involvement comprehension, and accessibility for rural students, according pertaining to research. The results reveal the ways AI-driven educational resources can aid in bridging the gap and advance inclusive, high-quality education in marginalized groups. Index Terms—Artificial Intelligence, Cloud Computing, Rural Education, E-Learning, Personalized Learning, Machine Learning, Accessibility
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- AI–Based Learning Platform for Rural Students Education Using Cloud
- Date Crossref
- 12/12/2025
- Éditeur
- Edtech Publishers (OPC) Private Limited
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
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