doi: 10.18178/ijfcc.2017.6.3.498
An Achievement Prediction Method on the Video Learning Time Based on EKF
Jun Xiao
1
,
Hongliang Gu
2
- 1 Shanghai Open University, Shanghai, China.
- 2 Shanghai Jiao Tong University, Shanghai, China.
Abstract
In China, the prediction of the examinationachievement is important in the field of online learning, for boththe learners and the service providers. On the other hand, thelearners' online learning time, e.g. the time of watching theteaching video, can be acquired and recorded easily on mostlearning platforms. In this paper, we try to establish an EKFmodel on the exam/test achievement and the learning time, anduse the model to predict the achievement in the next exam. Theexperiment on a two-semester network education course proves,the method can achieve the prediction precision, which is notinferior to the classic methods, and meanwhile own someadvantages such as, the capability of noise resistance, uniformconvergence, and controllable complexity etc.
Keywords
- Achievement prediction
- extended Kalmanfilter
- online learning
How to Cite
Jun Xiao and Hongliang Gu, "An Achievement Prediction Method on the Video Learning Time Based on EKF," International Journal of Future Computer and Communication, vol. 6, no. 3, pp. 102-105, 2017. https://doi.org/ 10.18178/ijfcc.2017.6.3.498
Copyright & License
Copyright © 2017 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).