Learning and Analyzing the Application of Digital Learning in Technology Enterprises

DOI

10.2991/assehr.k.200727.018How to use a DOI?

Keywords

Learning analytics, Learning analysis technique, Corporate e-learning

Abstract

With the advent of the artificial intelligence era, it is an irresistible trend for enterprises to adopt digital learning instead of traditional corporate training methods. Digital learning plays an active role in the enterprise talent training strategy and brings good economic benefits to the enterprise. Digital teaching will produce complicated data. Learning and analysis technology is to use big data to quantitatively analyze learners’ learning behaviors, provide evidence for learners’ self-evaluation and corporate learning assessment, and also make decision-making and pre-judgment actions for decision makers. Provide data support. This paper introduces the study analysis, to explore its potential applications in enterprise digital learning, and learning challenges facing the analysis.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hongsheng Wang
AU  - Kaiyu Yi
AU  - Zhixian Zhong
PY  - 2020
DA  - 2020/07/28
TI  - Learning and Analyzing the Application of Digital Learning in Technology Enterprises
BT  - Proceedings of the 2020 International Conference on Advanced Education, Management and Information Technology (AEMIT 2020)
PB  - Atlantis Press
SP  - 78
EP  - 81
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200727.018
DO  - 10.2991/assehr.k.200727.018
ID  - Wang2020
ER  -