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The rapid growth of digital education has led to increased demand for scalable and flexible learning solutions. This paper presents an automatic e-learning platform powered by cloud computing, designed to enhance accessibility, efficiency, and personalization in online education. The proposed system leverages cloud-based infrastructure to manage educational resources, support real-time collaboration, and deliver adaptive learning experiences to users regardless of location or device. By integrating automation technologies such as machine learning and data analytics, the platform can assess learner performance, recommend suitable learning materials, and optimize content delivery dynamically. Cloud computing ensures cost-effective deployment, high availability, and elastic scalability, enabling institutions to handle varying user loads efficiently. Additionally, data security and privacy are maintained through cloud-based encryption and access control mechanisms. This approach not only reduces infrastructure costs but also simplifies system maintenance and updates. Overall, the automatic e-learning platform through cloud computing represents a significant advancement toward intelligent, inclusive, and sustainable digital education.
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Copyright © 2019, This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY-NY-SA). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Corresponding Author: MOLLI SRINIVASA RAO, drmollisrinivasarao@gmail.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Conflict of interest: The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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