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  5. E-LEARNING: DEVELOPING TOMORROW'S EDUCATION
 
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E-LEARNING: DEVELOPING TOMORROW'S EDUCATION

Journal
ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the 13th International Scientific and Practical Conference
ISSN
2256-070X
Date Issued
2021
Author(s)
Rohit
Rezekne Academy of Technologies 
Grabusts, Pēteris 
Rezekne Academy of Technologies 
Teilāns, Artis 
Faculty of Engineering 
DOI
10.17770/etr2021vol2.6604
Abstract
E-learning refers to the term to deliver education or training using digital resources. Computer-based learning, which is considered the keystone of today's E-learning concept, was born in the 80s. Earlier E-learning provides education using only text as with the development in technology it allows adding various forms, i.e., Graphical Text, Images, Video Conferencing etc. In today's time, the concept of is E-learning growing at a rapid pace. Improved bandwidth and growing technology helped in pushing the expansion of E-learning. Along with the university, large corporate companies are also resorting to E-learning. E-learning provides many advantages as compare to Instructor-led training (ILT). E-learning saves the times of travel as physical presence is not required. Education can be provided from anywhere at any time. E-learning is cost-effective also as the course, once developed, can be modified easily. There can some concern which can be faced by the trainer and leaners in future. Adopting E-learning will be a step towards saving the environment. It will be environmentally friendly as tablets will replace books; paper notes will be replaced with digital messages. Digital tools will help to reduce the burden of a student. Artificial Intelligence is a prevalent concept in computer science. A branch of AI, known as a Neural Network, is based on the human brain. The research's main aim is to review existing methods and analyse further possibilities of E-learning systems with neural networks.
Subjects
  • E-learning

  • education

  • E-learning limitation...

  • new technologies

  • Artificial Intelligen...

  • Neural Network

File(s)
 document.pdf (331.85 KB)
Scopus© citations
0
Acquisition Date
Jan 12, 2024
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