Research on Online Education Teacher Evaluation Model based on Opinion Mining
Caiqiang Li, Junming Ma
Available Online November 2012.
- https://doi.org/10.2991/citcs.2012.264How to use a DOI?
- Online Education; Teacher Evaluation; Opinion Mining
- This paper analyzes the current common teacher evaluation methods, and points out the shortcoming of current methods of using the rubrics: they rely on the fixed rubric rules, and take less into account students opinion text published in the LMS (learning management system). The paper provides an online education teacher evaluation model based on opinion mining. The model collects opinion texts in the LMS by using web crawler, and processes them by using topic extraction and sentiment orientation classification, etc. And thus the model gets an overall evaluation of each teacher. This processing can primarily run automatically and enhance efficiency and effect of the teacher evaluation.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Caiqiang Li AU - Junming Ma PY - 2012/11 DA - 2012/11 TI - Research on Online Education Teacher Evaluation Model based on Opinion Mining BT - 2012 National Conference on Information Technology and Computer Science PB - Atlantis Press SP - 1041 EP - 1044 SN - 1951-6851 UR - https://doi.org/10.2991/citcs.2012.264 DO - https://doi.org/10.2991/citcs.2012.264 ID - Li2012/11 ER -