Evaluation of overseas students' performance in Chinese courses using statistical learning
| Autor: | Ma Songxia, Jing Xiao-ping |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Artificial neural network
Computer science business.industry Binary decision diagram media_common.quotation_subject Machine learning computer.software_genre Data structure Support vector machine Software Work (electrical) Voting Artificial intelligence business Construct (philosophy) computer media_common |
| Zdroj: | 2011 International Conference on E-Business and E-Government (ICEE). |
| DOI: | 10.1109/icebeg.2011.5881938 |
| Popis: | It is necessary to evaluate overseas students' performance in courses learning, which is closely associated with university-level management. In this work, based on supervised statistical learning, the training set includes overseas students' marks written on their assignments, and some other attributes. Nowadays, combining different classifiers is proposed as a new direction for the improvement of the classification accuracy. Therefore we adopt such strategy to construct the whole classification system which includes Support Vector Machine, Artificial Neural Network and Binary Decision Tree, using the voting methodology. Among other significant conclusions it was found that the proposed algorithm is appropriate to be used for the construction of a software support tool. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|