Proceedings of the 2018 3rd International Conference on Politics, Economics and Law (ICPEL 2018)

Research on Intelligent Family Learning Assistant Based on Computer Vision Technology

Authors
Lunbin Li, Haikun Teng
Corresponding Author
Lunbin Li
Available Online October 2018.
DOI
https://doi.org/10.2991/icpel-18.2018.114How to use a DOI?
Keywords
learning assistant, computer vision technology, artificial intelligence, convolution neural network
Abstract
Because some students' learning habits are not good and their learning methods are not scientific, this leads to poor academic performance. In order to solve this problem, an intelligent home learning assistant software is developed on the basis of convolutional neural network is developed. It is learning assistant software which combines artificial intelligence, computer vision technology and auxiliary family education mode. No similar software has been found at home and abroad. The software can analyze the loopholes of students' learning knowledge points by recording the students' wrong questions, construct a unique picture of their mastery of personal knowledge, remind and supervise students to review the old and learn the new on time, and help students cultivate good learning habits by doing homework, so as to further improve students' academic performance. It has a certain society value.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 3rd International Conference on Politics, Economics and Law (ICPEL 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
October 2018
ISBN
978-94-6252-605-1
ISSN
2352-5398
DOI
https://doi.org/10.2991/icpel-18.2018.114How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Lunbin Li
AU  - Haikun Teng
PY  - 2018/10
DA  - 2018/10
TI  - Research on Intelligent Family Learning Assistant Based on Computer Vision Technology
BT  - 2018 3rd International Conference on Politics, Economics and Law (ICPEL 2018)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/icpel-18.2018.114
DO  - https://doi.org/10.2991/icpel-18.2018.114
ID  - Li2018/10
ER  -