Exploration and Practice of Teaching for Artificial Intelligence Public Elective
Authors
Junsong Li, Yubo Jia, Na Zhang, Xianchuang Su, Ning Gui
Corresponding Author
Junsong Li
Available Online March 2016.
- DOI
- 10.2991/icitel-15.2016.20How to use a DOI?
- Keywords
- Artificial intelligence, Public elective, Teaching reform, Teaching practice, Team learning, Assessing method
- Abstract
This paper analyzes the features of artificial intelligence public elective (AIPE) and proposes the teaching objectives for student in terms of these features. By teaching practice, the teaching reform is explored in the teaching content and the teaching mode of AIPE as well as the assessing method for student achievement. According to the feedback from students, the effects of teaching reform are analyzed and summarized. Moreover, the problems which need to be further explored in the future are presented.
- Copyright
- © 2016, 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 - Junsong Li AU - Yubo Jia AU - Na Zhang AU - Xianchuang Su AU - Ning Gui PY - 2016/03 DA - 2016/03 TI - Exploration and Practice of Teaching for Artificial Intelligence Public Elective BT - Proceedings of the 1st International Conference on Information Technologies in Education and Learning PB - Atlantis Press SP - 89 EP - 93 SN - 2352-538X UR - https://doi.org/10.2991/icitel-15.2016.20 DO - 10.2991/icitel-15.2016.20 ID - Li2016/03 ER -