Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

Develop the AI Literacy of Infants by Deeply Integrated English Learning and Robot Education

Authors
Zhongyu Zhang
Corresponding Author
Zhongyu Zhang
Available Online February 2018.
DOI
10.2991/csece-18.2018.32How to use a DOI?
Keywords
integrate; English learning; robot education; language skill, intelligent; information literacy; science and technology literacy
Abstract

In this paper, a new learning model which integrate the English Learning and Robot Education for infants was proposed. According to this model, a textbook of using robot to teach English was designed. A corresponding course which matched with the textbook was developed. An experiment of using this course was done in a training institution. The result illustrate that this model is apparently effective for the kindergarten school students to learn English and robot.

Copyright
© 2018, 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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Volume Title
Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
Series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
10.2991/csece-18.2018.32How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Zhongyu Zhang
PY  - 2018/02
DA  - 2018/02
TI  - Develop the AI Literacy of Infants by Deeply Integrated English Learning and Robot Education
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 154
EP  - 156
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.32
DO  - 10.2991/csece-18.2018.32
ID  - Zhang2018/02
ER  -