Educational Development Technology in Artificial Intelligence Era
- https://doi.org/10.2991/erss-18.2019.34How to use a DOI?
- Educational Development Technology; Artificial Intelligence; Innovation.
In order to effectively combine the traditional educational mode with Artificial Intelligence (AI), the Bayesian conditional probability prediction model was adopted. Basing a knowledge map and a knowledge database, the answer to the student's mathematical subjective question was judged. Through the research and application of key technologies for error type positioning, the error knowledge points of each line were accurately found. A comprehensive feedback evaluation system for the complete error type was implemented. Therefore, the application of inference knowledge base technology saves teachers' time and improves the efficiency of marking.
- © 2019, 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 - Guibao Liu AU - Yingfang Zhao PY - 2019/01 DA - 2019/01 TI - Educational Development Technology in Artificial Intelligence Era BT - Proceedings of the 2018 International Workshop on Education Reform and Social Sciences (ERSS 2018) PB - Atlantis Press SP - 173 EP - 176 SN - 2352-5398 UR - https://doi.org/10.2991/erss-18.2019.34 DO - https://doi.org/10.2991/erss-18.2019.34 ID - Liu2019/01 ER -