A Study of Teaching Evaluation in Adult Higher Education Based on Decision Tree

Author

Deng, Jiabin ; Hu, Juanli ; Chi, Hehua ; Wu, Juebo

Author_Institution

Comput. Eng. Dept., Zhongshan Polytech., Zhongshan, China

fYear

2010

fDate

24-25 July 2010

Firstpage

381

Lastpage

385

Abstract

Teaching evaluation is an effective measure to improve the teaching quality, promote teachers´ teaching level, and achieve the scientific and systematic management for faculty. In this paper, we present a model of teaching evaluation in adult higher education based on decision tree, aiming to mine the valuable knowledge from the data of teachers´ evaluation and archives in teaching quality evaluation system. Firstly, we analyze the shortcomings of the ID3 algorithm and make some corresponding improvement. Secondly, we introduce the procedure of the model including the specific ways. Lastly, we carry on a case study by the presented model to demonstrate the feasibility of the model. The results show that the proposed method is feasible and can help teaching management personnel for scientific decision-making and improving teaching quality.

Keywords

data mining; decision making; decision trees; educational administrative data processing; further education; teaching; ID3 algorithm; adult higher education; data mining; decision tree; decision-making; scientific management; systematic management; teaching management personnel; teaching quality evaluation system; Classification algorithms; Classification tree analysis; Clustering algorithms; Data mining; Educational institutions; Adult Higher Education; Data Mining; Decision Tree; Teaching Evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Computer Science (ITCS), 2010 Second International Conference on

Conference_Location

Kiev

Print_ISBN

978-1-4244-7293-2

Electronic_ISBN

978-1-4244-7294-9

Type

conf

DOI

10.1109/ITCS.2010.99

Filename

5557350