Title :
Model and research on score evaluation model of graduation thesis
Author :
Hong-ben Mao ; Qi Jiang ; Ai-hua Zhou ; Shi-fa Wang
Author_Institution :
Office of Acad. Affairs, Nanjing Forestry Univ., Nanjing, China
Abstract :
The score evaluation of graduation thesis is an important means to inspect, evaluate and promote graduation thesis. In this paper, by using the significance test method of the multivariate statistical analysis, we examined the impact significance of each evaluation index on graduation thesis total evaluation result, based on this to select the appropriate evaluation index and to construct a score evaluation model. By means of BP neural network, we constructed the non-linear model between the graduation thesis evaluation indices and overall mark, and finally formed an effective score evaluation method on graduation thesis.
Keywords :
backpropagation; educational computing; inspection; neural nets; statistical analysis; BP neural network; evaluation index; graduation thesis evaluation indices; graduation thesis inspection; graduation thesis promotion; graduation thesis total evaluation result; multivariate statistical analysis; nonlinear model; score evaluation model; test method; Computational modeling; Computers; Indexes; Neural networks; BP neural network; graduation thesis; higher education; score evaluation;
Conference_Titel :
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4799-2949-8
DOI :
10.1109/ICCSE.2014.6926559