Cloud Based E-Learning Platform with Machine Learning

Abstract

Cloud computing is the latest and rapidly growing technology that has brought new changes and opportunities in the field of education and IT industries. Consequently, e learning emphasizes more on technology to transform and provide training and education to learners. E-learning system using cloud computing platform introduces efficient and effective learning mechanism. In this paper, we briefly discuss the effectiveness of cloud-based e-learning along with its issues, challenges, and benefits. The analysis suggests that the cloud computing platform for e-learning is quite feasible and effective that brings greater clarity landscape anent to cloud computing assistances. With the increasing popularity of cloud-based services, there is a need for an e-learning platform that can take advantage of the cloud to provide more scalable and reliable service. This paper presents a cloud-based e-learning platform that uses machine learning to provide a more personalized learning experience. The platform uses a cloud based architecture to provide scalable and reliable service. It also uses machine learning to provide a more personalized learning experience. The platform has been designed to be easy to use and to provide a high-quality learning experience.

Country : India

1 Prof. Sushma Shinde2 Rohit Thorat3 Pravin Kuyate4 Saurabh Naikare5 Tejashree Kadlag

  1. Department of Computer Science and Engineering, Siddhant College of Engineering, Sudumbare, Pune, India
  2. Department of Computer Science and Engineering, Siddhant College of Engineering, Sudumbare, Pune, India
  3. Department of Computer Science and Engineering, Siddhant College of Engineering, Sudumbare, Pune, India
  4. Department of Computer Science and Engineering, Siddhant College of Engineering, Sudumbare, Pune, India
  5. Department of Computer Science and Engineering, Siddhant College of Engineering, Sudumbare, Pune, India

IRJIET, Volume 7, Special Issue of ICRTET- 2023 pp. 161-163

IRJIET.ICRTET33

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