Short answer question is one of the methods used to evaluate student cognitive abilities, including memorizing, designing, and freely expressing answers based on their thoughts. Unfortunately, grading short more complicated than multiple choices answers. For that problem, several studies have tried build an artificial intelligence system called automatic (ASAG). We improve accuracy ASAG at scor...

Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...

Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...

Short Answer Grading (SAG) is the task of scoring students’ answers for applications such as examinations or e-learning. Most existing SAG systems predict scores based only on answers, and critical evaluation criteria rubrics are ignored, which plays a crucial role in evaluating real-world situations. In this paper, we propose semi-supervised method to train neural model. We extract keyphrases ...

The era of technology and digitalization has been advantageous to the educational sector. examination system is one most important pillars that have affected. As automatic exam grading a revolution in history development, therefore started replace traditional assessment system. allows examiners automatically assign grades for students” answers compared model answers. And, generate results based...

Automatic assessment needs short answer based evaluation and automated assessment. Various techniques used are Ontology, Semantic similarity matching and Statistical methods. An automatic short answer assessment system is attempted in this paper. Through experiments performed on a data set, we show that the semantic ASAGS outperforms methods based on simple lexical matching; resulting is up to ...

Abstract Machine learning methods can be used to reduce the manual workload in exam grading, making it possible for teachers spend more time on other tasks. However, when comes grading exams, fully eliminating work is not yet even with very accurate automated as any mistakes could have significant consequences students. Here, evaluation of an approach therefore extended from measuring relation ...