Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

The Construction and Application of Intelligent Learning Environment

Authors
Ying Sun1, *
1Institute of governance, Party school of Liaoning provincial Party committee, Shen Yang, China
*Corresponding author. Email: 12017366@qq.com
Corresponding Author
Ying Sun
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-058-9_46How to use a DOI?
Keywords
Intelligent learning; data mining; deep learning; algorithm
Abstract

Intelligent teaching environment is a pan technical environment and a technology enhanced classroom. With the support of various intelligent technologies, it realizes the data transmission, communication and interworking of "cloud", "network" and "end", constitute an intelligent learning support environment with dynamic learning data analysis as the core. In the process of constructing intelligent learning environment, metauniverse is the cornerstone of intelligent online learning environment. The underlying technologies mainly rely on include 5G / 6G network environment, resource production, big data processing, authentication mechanism, interactive interface, etc. Environmental awareness technology is the basic technology of "intelligent campus", which helps to realize the real-time dynamic monitoring and control of various physical devices on campus. Learning scenario recognition is a key technology in the construction of smart campus. It is the premise of personalized learning resource push, learning partner connection and learning activity suggestion. It involves the comprehensive application of learner feature analysis, sensor technology and automatic reasoning. In addition to the above technologies, the technologies to be used in the intelligent learning environment in the future also include three main machine learning algorithms relied on by the AI based video recognition system, SaaS based applications supported by AI, deep learning algorithms, etc., which can model the contents of learners' personal information and learners' situational information, can reflect the learning process information through interactive text, video and audio, system logs, etc. Automatic interactive text analysis technologies such as participation analysis, social network analysis and content analysis are used to support the natural interaction between future classroom user subjects and classroom technology, resources and environment, so as to realize the flexible sharing, connection and reuse of distributed resources in ubiquitous learning environment. At the same time, it has good expansibility, can be used as the basis of intelligent resource retrieval and push, which greatly enhances the adaptability of the learning system and the ability of personalized service for users. In short, the use of the Internet and various new technologies and new media provides learners with a wealth of cognitive tools and intelligent supporting environment. Changing the traditional teaching structure dominated by teachers into a new teaching structure dominated by students and combined with dominance and subject, promoting the "classroom revolution" is conducive to the personalized growth and intellectual development of students.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
Series
Advances in Computer Science Research
Publication Date
27 December 2022
ISBN
978-94-6463-058-9
ISSN
2352-538X
DOI
10.2991/978-94-6463-058-9_46How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Ying Sun
PY  - 2022
DA  - 2022/12/27
TI  - The Construction and Application of Intelligent Learning Environment
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 269
EP  - 278
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_46
DO  - 10.2991/978-94-6463-058-9_46
ID  - Sun2022
ER  -