Computer-Aided English Education in China: An Online Automatic Essay Scoring System

2020 ◽  
pp. 264-278
Author(s):  
Dapeng Li ◽  
Shaodong Zhong ◽  
Zhizhang Song ◽  
Yijia Guo
Keyword(s):  
Scoring System ◽  
English Education ◽  
Computer Aided ◽  
Essay Scoring ◽  
Education In China

SCESS: a WFSA-based automated simplified chinese essay scoring system with incremental latent semantic analysis

2014 ◽  
Vol 22 (2) ◽  
pp. 291-319 ◽  
Author(s):  
SHUDONG HAO ◽  
YANYAN XU ◽  
DENGFENG KE ◽  
KAILE SU ◽  
HENGLI PENG
Keyword(s):  
Latent Semantic Analysis ◽  
Scoring System ◽  
Semantic Analysis ◽  
Scoring Systems ◽  
Recall Rate ◽  
Experimental Results ◽  
Important Indicator ◽  
Simplified Chinese ◽  
Language Tests ◽  
Essay Scoring

AbstractWriting in language tests is regarded as an important indicator for assessing language skills of test takers. As Chinese language tests become popular, scoring a large number of essays becomes a heavy and expensive task for the organizers of these tests. In the past several years, some efforts have been made to develop automated simplified Chinese essay scoring systems, reducing both costs and evaluation time. In this paper, we introduce a system called SCESS (automated Simplified Chinese Essay Scoring System) based on Weighted Finite State Automata (WFSA) and using Incremental Latent Semantic Analysis (ILSA) to deal with a large number of essays. First, SCESS uses ann-gram language model to construct a WFSA to perform text pre-processing. At this stage, the system integrates a Confusing-Character Table, a Part-Of-Speech Table, beam search and heuristic search to perform automated word segmentation and correction of essays. Experimental results show that this pre-processing procedure is effective, with a Recall Rate of 88.50%, a Detection Precision of 92.31% and a Correction Precision of 88.46%. After text pre-processing, SCESS uses ILSA to perform automated essay scoring. We have carried out experiments to compare the ILSA method with the traditional LSA method on the corpora of essays from the MHK test (the Chinese proficiency test for minorities). Experimental results indicate that ILSA has a significant advantage over LSA, in terms of both running time and memory usage. Furthermore, experimental results also show that SCESS is quite effective with a scoring performance of 89.50%.

A Bi-modal Automated Essay Scoring System for Handwritten Essays

2021 ◽  
Author(s):  
Jinghua Gao ◽  
Qichuan Yang ◽  
Yang Zhang ◽  
Liuxin Zhang ◽  
Siyun Wang
Keyword(s):  
Scoring System ◽  
Automated Essay Scoring ◽  
Essay Scoring

scholarly journals Situational Cognition of College English Education Based on Image Block Gain Optimization in Pseudo-haze State

2019 ◽  
Vol 14 (18) ◽  
pp. 53
Author(s):  
Hongli Lou
Keyword(s):  
English Education ◽  
Empirical Test ◽  
Optimization Method ◽  
General Situation ◽  
Cognitive Competence ◽  
Image Block ◽  
College English ◽  
English Teaching ◽  
Gain Optimization ◽  
Education In China

Situational cognition can help students to construct their knowledge to a great extent. In order to solve the problem of lack of situational cognition in College English teaching, this paper studies the validity of students' situational cognition in College English teaching based on the method of image block gain optimization. First, this paper analyses the general situation of situational cognition capacity in College English teaching in China at present, and puts forward the function of device image in constructing situational cognitive competence in teaching. Then, it divides device image into blocks under pseudo-haze conditions, and proposes the optimization method of block gain. Finally, on the basis of block gain, it makes an empirical test of situational cognitive competence in College English teaching. The empirical results show that image block gain optimization can effectively improve the construction of situational cognition capacity in College English teaching. With the help of this study, some new and useful ideas can be traced for the development of computer science and college English teaching, and also stimulate the further improvement of College English education in China.

The E-rater® Automated Essay Scoring System

2015 ◽  
Author(s):  
Jill Burstein ◽  
Joel Tetreault ◽  
Nitin Madnani
Keyword(s):  
Scoring System ◽  
Automated Essay Scoring ◽  
Essay Scoring

scholarly journals Open Problems in Indonesian Automatic Essay Scoring System

2018 ◽  
Vol 7 (4.44) ◽  
pp. 156
Author(s):  
Faisal Rahutomo ◽  
Trisna Ari Roshinta ◽  
Erfan Rohadi ◽  
Indrazno Siradjuddin ◽  
Rudy Ariyanto ◽  
...  
Keyword(s):  
Scoring System ◽  
Euclidean Distance ◽  
Learning Algorithm ◽  
Similarity Score ◽  
Cosine Similarity ◽  
Percentage Error ◽  
Similarity Metrics ◽  
Open Problems ◽  
Essay Scoring ◽  
Essay Grading

This paper presents open problems in Indonesian Scoring System. The previous study exposes the comparison of several similarity metrics on automated essay scoring in Indonesian. The metrics are Cosine Similarity, Euclidean Distance, and Jaccard. The data being used in the research are about 2,000 texts. This data are obtained from 50 students who answered 40 questions on politics, sports, lifestyle, and technology. The study also evaluates the stemming approach for the system performance. The difference between all methods between using stemming or not is around 4-9%. The results show Jaccard is the best metric both for the system with stemming or not. Jaccard method with stemming has the percentage error lowest than the others. The politic category has the highest average similarity score than lifestyle, sport, and technology. The percentage error of Jaccard with stemming is 52.31%, Cosine Similarity is 59.49%, and Euclidean Distance is 332.90%. In addition, Jaccard without stemming is also the best than the others. The percentage error without stemming of Jaccard is 56.05%, Cosine Similarity is 57.99%, and Euclidean Distance is 339.41%. However, this percentage error is high enough to be used for a functional essay grading system. The percentage errors are relatively high, more than 50%. Therefore this paper explores several ideas of open problems in this issue. The openly available dataset can be used to develop better approaches than the standard similarity metrics. The approaches expose are ranging from feature extraction, similarity metrics, learning algorithm, environment implementation, and performance evaluation.   

scholarly journals Analysis of a Self-learning System of English Flipped Classroom Based on Adaptive Algorithm

2018 ◽  
Vol 13 (08) ◽  
pp. 103 ◽  
Author(s):  
Ying He
Keyword(s):  
Information Technology ◽  
Adaptive Learning ◽  
Flipped Classroom ◽  
English Education ◽  
Learning System ◽  
Test Theory ◽  
Test Field ◽  
The People ◽  
Computer Aided ◽  
Education Measurement

To solve the problem of how to apply information technology in English education field, to realize the integration of information technology and courses and also to truly improve the study efficiency, the advanced technologies were combined with some education measurement theories and applied in computer-aided test field. In addition, a computer-aided autonomous learning system with adaptive feature was developed, which was a self-adaptive learning system of junior English. The results showed that, under the guidance of the classic test theory and the project response theory, the system was designed and developed on the basis of the “people-oriented” principle. With the increasing number of students wanting to practice, the system dynamically rewrote the relevant learning record parameters, and conducted a real-time record of the true level of ability of each different student in different knowledge points. In a word, practicing according to the actual situation, the learning system can help achieve a truly personalized learning, and meanwhile enhances the efficiency of learning.

Sign in / Sign up

Export Citation Format

Share Document