Educational Development Technology in Artificial Intelligence Era

DOI

10.2991/erss-18.2019.34How to use a DOI?

Keywords

Educational Development Technology; Artificial Intelligence; Innovation.

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/erss-18.2019.34
ID  - Liu2019/01
ER  -