Automated Essay Scoring

dc.creator	Semire DIKLI
dc.date	2006-01-01T00:00:00Z
dc.date.accessioned	2015-08-12T11:18:13Z
dc.date.available	2015-08-12T11:18:13Z
dc.identifier	1302-6488
dc.identifier	https://doaj.org/article/9d3c80c03c634902b4c8dbce6e160510
dc.identifier.uri	http://evidence.thinkportal.org/handle/123456789/26753
dc.description	Automated Essay Scoring Semire DIKLI Florida State University Tallahassee, FL, USA ABSTRACT The impacts of computers on writing have been widely studied for three decades. Even basic computers functions, i.e. word processing, have been of great assistance to writers in modifying their essays. The research on Automated Essay Scoring (AES) has revealed that computers have the capacity to function as a more effective cognitive tool (Attali, 2004). AES is defined as the computer technology that evaluates and scores the written prose (Shermis & Barrera, 2002; Shermis & Burstein, 2003; Shermis, Raymat, & Barrera, 2003). Revision and feedback are essential aspects of the writing process. Students need to receive feedback in order to increase their writing quality. However, responding to student papers can be a burden for teachers. Particularly if they have large number of students and if they assign frequent writing assignments, providing individual feedback to student essays might be quite time consuming. AES systems can be very useful because they can provide the student with a score as well as feedback within seconds (Page, 2003). Four types of AES systems, which are widely used by testing companies, universities, and public schools: Project Essay Grader (PEG), Intelligent Essay Assessor (IEA), E-rater, and IntelliMetric. AES is a developing technology. Many AES systems are used to overcome time, cost, and generalizability issues in writing assessment. The accuracy and reliability of these systems have been proven to be high. The search for excellence in machine scoring of essays is continuing and numerous studies are being conducted to improve the effectiveness of the AES systems.
dc.language	English
dc.publisher	Anadolu University, Eskisehir, Turkey
dc.relation	http://tojde.anadolu.edu.tr/tojde21/pdf/article_5.pdf
dc.relation	https://doaj.org/toc/1302-6488
dc.source	The Turkish Online Journal of Distance Education, Vol 7, Iss 1, Pp 49-62 (2006)
dc.subject	Assessment
dc.subject	Writing
dc.subject	Feedback Mechanism
dc.subject
dc.subject	Assistive Technologies
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.subject	DOAJ:Education
dc.subject	DOAJ:Social Sciences
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.subject	DOAJ:Education
dc.subject	DOAJ:Social Sciences
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.subject	Special aspects of education
dc.subject	LC8-6691
dc.subject	Education
dc.subject	L
dc.title	Automated Essay Scoring
dc.type	article