Research on Competition Training Based on Blended Learning
- Jie Liu, Xiaoli Long
- Corresponding Author
- Jie Liu
Available Online November 2017.
- https://doi.org/10.2991/iceiss-17.2017.5How to use a DOI?
- Blended learning; Competition training; Task driven teaching; Mobile learning
- Traditional courcing competition integration training can not change the situation of passive learning. Blended learning based on mobile learning is mainly based on students' self-study, which can realize students' personalized learning. Competition training based on blended learning is bound to change the learning state of students. A competion training mode based on blended learning is proposed, which is devided into three stages in this paper. According to task driven teaching, the training is designed with several tasks. This paper systematically discusses the theoretical basis of task driven teaching competition training based on blended learning, then describes the design and implementation. The trainning mode would make online learning more convenient and personalized, and make teaching and learning become normal, so that online and offline learning depth fused and personalized.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jie Liu AU - Xiaoli Long PY - 2017/11 DA - 2017/11 TI - Research on Competition Training Based on Blended Learning BT - International Conference on Education Innovation and Social Science (ICEISS 2017) PB - Atlantis Press SN - 2352-5398 UR - https://doi.org/10.2991/iceiss-17.2017.5 DO - https://doi.org/10.2991/iceiss-17.2017.5 ID - Liu2017/11 ER -