Year-end Sale % OFF 
Abstract
Intelligent systems of essay grading constitute important tools for educational technologies. They can significantly replace the manual scoring efforts and provide instructional feedback as well. These systems typically include two main parts: feature extractor and automatic grading model. The latter is generally based on computational and artificial intelligent methods. In this work, we focus on the features extraction part. More precisely, we focus on argumentation and discourse related-features, which constitute high level features. We discuss some state-of-the-art systems and analyse how argumentation and discourse analysis are used for extracting features and providing feedback.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Contemporary Educational Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
