Exploration and Practice of Jupyter Notebook in Artificial Intelligence Online Teaching
- DOI
- 10.2991/978-94-6463-012-1_73How to use a DOI?
- Keywords
- Artificial Intelligence; Online Teaching; Integration of Theory and Practice; Jupyter Notebook
- Abstract
Online teaching has become the norm in college teaching under the continue pandemic. Therefore, Artificial intelligence (AI) which not only focus on theoretical derivation and knowledge explanation, but also emphasize on programme practice and project training, whether of having a suitable teaching tool becomes especially important when it comes to effective online teaching. In view of the actual needs of artificial intelligence online courses, this paper analyzes the functions and characteristics of Jupyter notebook, and propose one-stop solution for artificial intelligence online teaching with the ground of Jupyter notebook. In addition, this paper will mention the launch of online teaching tasks, practicing “integration of theory and practice”, conducting teaching and external learning resources. All those mentioned will have a specific meaning in terms of artificial intelligence online teaching.
- 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 - Yong Ren AU - Qi Feng AU - Zhiqiang Jiang PY - 2022 DA - 2022/12/09 TI - Exploration and Practice of Jupyter Notebook in Artificial Intelligence Online Teaching BT - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) PB - Atlantis Press SP - 672 EP - 681 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-012-1_73 DO - 10.2991/978-94-6463-012-1_73 ID - Ren2022 ER -