UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 6
June-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2106435


Registration ID:
310967

Page Number

d233-d235

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Title

Improving E-learning using Artificial Intelligence and Machine Learning

Abstract

There has been significant progress in the development of techniques to deliver more effective eLearning systems in both education and commerce.  Artificial Intelligence sparks excitement about the future of how we teach and learn.  In reality, though, AI has been a part of many e-learning platforms for quite a long time, helping us learn more efficiently.  the fundamental components of an adaptive learning system designed to fulfil the objectives of the teacher and to develop a close relationship with the learner, monitoring and adjusting the teaching based upon a wide variety of analyses of their knowledge and performance.  This is an important area for future research with the opportunity to deliver significant value to both education and commerce.  The development of improved learning systems in conjunction with trainers, teachers and subject matter experts will provide benefits to educational institutions and help commercial organisations to face critical challenges in the training, development and retention of the key skills required to address new, emerging technologies and business models.

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"Improving E-learning using Artificial Intelligence and Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.d233-d235, June-2021, Available :http://www.jetir.org/papers/JETIR2106435.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Improving E-learning using Artificial Intelligence and Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppd233-d235, June-2021, Available at : http://www.jetir.org/papers/JETIR2106435.pdf

Publication Details

Published Paper ID: JETIR2106435
Registration ID: 310967
Published In: Volume 8 | Issue 6 | Year June-2021
DOI (Digital Object Identifier):
Page No: d233-d235
Country: CHEMBUR MUMBAI, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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