Research on Intelligent Family Learning Assistant Based on Computer Vision Technology
Lunbin Li, Haikun Teng
Available Online October 2018.
- https://doi.org/10.2991/icpel-18.2018.114How to use a DOI?
- learning assistant, computer vision technology, artificial intelligence, convolution neural network
- 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.
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 - Proceedings of the 2018 3rd International Conference on Politics, Economics and Law (ICPEL 2018) PB - Atlantis Press SP - 488 EP - 491 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 -