scholarly journals Design and Simulation of Computer Aided Chinese Vocabulary Evaluation System

2020 ◽  
Vol 18 (S3) ◽  
pp. 1-11
Author(s):  
Quanyue Wang ◽  
Sisi Zhang ◽  
Weichao Liu
Keyword(s):  
Experimental Investigation ◽  
Statistical Analysis ◽  
Evaluation System ◽  
Assessment System ◽  
Computer Assisted ◽  
Organization And Management ◽  
Computer Aided ◽  
Chinese Learning ◽  
Important Position ◽  
Vocabulary Assessment

This article first explains the research background of computer-aided Chinese vocabulary assessment. Vocabulary assessment occupies an important position in Chinese learning. Computer-aided assessment has advantages in statistical analysis and organization and management. Subsequently, the development of Chinese vocabulary assessment and computer-assisted Chinese assessment was reviewed, and the design scheme of computer-assisted Chinese vocabulary assessment system was constructed. The functional framework, assessment methods, and feedback of the assessment system were explained. Finally, this paper verifies the function of the system through experimental investigation.

Automated Assessment of Short One-Line Free-Text Responses With Identifying Word Ordering

2014 ◽  
pp. 164-170
Author(s):  
Navjeet Kaur ◽  
Kiran Jyoti
Keyword(s):  
Evaluation System ◽  
Evaluation Criteria ◽  
Educational Process ◽  
Assessment System ◽  
Student Response ◽  
Computer Assisted ◽  
Free Text ◽  
Multiple Choice Questions ◽  
Short Text ◽  
Objective Testing

Assessment is an important activity in any educational process to evaluate the learner’s knowledge about the concepts learnt.. Evaluation through objective testing is common in all evaluation system, where Multiple Choice Questions, Fill in the Blanks, Matching etc. are used for evaluation. The method of objective testing is not sufficient to completely verify all the concepts learnt by the learner. Thus computer assisted assessment of short text answers is developed. Here we present a technique which also considers grammatical errors during automated evaluation of oneline sentence. In this paper we have define a set of evaluation criteria that covers all the relevant aspects of an essay assessment system and discussion on how this technique find syntactical errors during evaluation of student response.

scholarly journals A computer-aided continuous assessment system

2011 ◽  
Vol 4 (2) ◽  
Author(s):  
B. C.H. Turton
Keyword(s):  
Teaching And Learning ◽  
Assessment System ◽  
Performance Ratio ◽  
Computer Assisted ◽  
Learning Technology ◽  
Continuous Assessment ◽  
The United Kingdom ◽  
Price Performance ◽  
Computer Aided ◽  
Attractive Option

Universities within the United Kingdom have had to cope with a massive expansion in undergraduate student numbers over the last five years (Committee of Scottish University Principals, 1993; CVCP Briefing Note, 1994). In addition, there has been a move towards modularization and a closer monitoring of a student's progress throughout the year. Since the price/performance ratio of computer systems has continued to improve, Computer- Assisted Learning (CAL) has become an attractive option. (Fry, 1990; Benford et al, 1994; Laurillard et al, 1994). To this end, the Universities Funding Council (UFQ has funded the Teaching and Learning Technology Programme (TLTP). However universities also have a duty to assess as well as to teach. This paper describes a Computer-Aided Assessment (CAA) system capable of assisting in grading students and providing feedback. In this particular case, a continuously assessed course (Low-Level Languages) of over 100 students is considered. Typically, three man-days are required to mark one assessed piece of coursework from the students in this class. Any feedback on how the questions were dealt with by the student are of necessity brief. Most of the feedback is provided in a tutorial session that covers the pitfalls encountered by the majority of the students.DOI:10.1080/0968776960040206

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.

scholarly journals Lecturers' perspectives on the use of a mathematics-based computer-aided assessment system

2013 ◽  
Vol 32 (2) ◽  
pp. 88-94 ◽  
Author(s):  
S. J. Broughton ◽  
C. L. Robinson ◽  
P. Hernandez-Martinez
Keyword(s):  
Assessment System ◽  
Computer Aided
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