An Assessment System on the Semantic Web

2009 ◽  
pp. 177-200 ◽  
Author(s):  
Sonja Radenković ◽  
Nenad Krdžavac ◽  
Vladan Devedžić
Keyword(s):  
Semantic Web ◽  
Assessment System

The value of an assessment system in a preclinical amalgam exercise

1985 ◽  
Vol 49 (5) ◽  
pp. 312-315
Author(s):  
JE Wiegman ◽  
FC van de Poel ◽  
D Purdell-Lewis
Keyword(s):  
Assessment System

Aggregating Welfare Indicators into an Operational Welfare Assessment System: A Bottom-up Approach

2001 ◽  
Vol 51 (2) ◽  
pp. 53-57 ◽  
Author(s):  
Tine Rousing ◽  
Marianne Bonde ◽  
Jan Tind Sørensen
Keyword(s):  
Assessment System ◽  
Bottom Up ◽  
Welfare Assessment ◽  
Welfare Indicators ◽  
System A

Behavior Assessment System for Children Teacher Rating Scale–Child—Short Form

2007 ◽  
Author(s):  
Randy W. Kamphaus ◽  
Jennifer S. Thorpe ◽  
Anne Pierce Winsor ◽  
Anna P. Kroncke ◽  
Erin T. Dowdy ◽  
...  
Keyword(s):  
Rating Scale ◽  
Short Form ◽  
Teacher Rating ◽  
Assessment System ◽  
Behavior Assessment ◽  
Teacher Rating Scale

p-EMA (II): evaluating ecological risks of pesticides for a farm-level risk assessment system

Agronomie ◽  
2003 ◽  
Vol 23 (1) ◽  
pp. 75-84 ◽  
Author(s):  
Andy Hart ◽  
Colin D. Brown ◽  
Kathy A. Lewis ◽  
John Tzilivakis
Keyword(s):  
Risk Assessment ◽  
Assessment System ◽  
Ecological Risks ◽  
Farm Level

Intelligent system of English composition scoring model based on improved machine learning algorithm

2020 ◽  
pp. 1-11
Author(s):  
Jie Liu ◽  
Lin Lin ◽  
Xiufang Liang
Keyword(s):  
Machine Learning ◽  
Evaluation System ◽  
Intelligent System ◽  
Learning Algorithm ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Assessment System ◽  
English Composition ◽  
Region Extraction ◽  
Constraint Model

The online English teaching system has certain requirements for the intelligent scoring system, and the most difficult stage of intelligent scoring in the English test is to score the English composition through the intelligent model. In order to improve the intelligence of English composition scoring, based on machine learning algorithms, this study combines intelligent image recognition technology to improve machine learning algorithms, and proposes an improved MSER-based character candidate region extraction algorithm and a convolutional neural network-based pseudo-character region filtering algorithm. In addition, in order to verify whether the algorithm model proposed in this paper meets the requirements of the group text, that is, to verify the feasibility of the algorithm, the performance of the model proposed in this study is analyzed through design experiments. Moreover, the basic conditions for composition scoring are input into the model as a constraint model. The research results show that the algorithm proposed in this paper has a certain practical effect, and it can be applied to the English assessment system and the online assessment system of the homework evaluation system algorithm system.

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