Automated Scoring for Essay Questions In E-learning

Autor:	Sarah Hussein Toman, Zinah Hussein Toman, Manar Joundy Hazar
Rok vydání:	2019
Předmět:	History Computer science E-learning (theory) Mathematics education Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1294:042014
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1294/4/042014
Popis:	E-learning is employing technology to help and promote learning begun decades ago.one of most important example of using intelligent software agent in e-learning is Intelligent Tutoring systems (ITSs). Assessment plays a significant role in the educational process. Automated Essay Scoring (AES) is defined as the computer technology that evaluates and scores the subjective answers. To evaluate students essay answers based on a linguistic knowledge in this project we presented a suitable model. Getting results from the recommended system application in calculating simulation results indicates high precision in performance associated with other methods. We used square root error rate (RMSE) and Pearson correlation coefficient metrics to measure the system efficiency and also use student answer acquired from the University of North Texas data collection, this data accessible on the Internet.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::68b8318f48591f25abd49976331d5ca6 https://doi.org/10.1088/1742-6596/1294/4/042014 Zobrazit plný text záznamu