دورية أكاديمية

Argumentation and Discourse Analysis in Future Intelligent Systems of Essay Grading

التفاصيل البيبلوغرافية
العنوان: Argumentation and Discourse Analysis in Future Intelligent Systems of Essay Grading
اللغة: English
المؤلفون: Naima Debbar (ORCID 0009-0006-1210-5362)
المصدر: International Journal of Contemporary Educational Research. 2024 11(1):29-35.
الإتاحة: International Journal of Contemporary Educational Research. e-mail: ijceroffice@gmail.com; Web site: http://ijcer.net
Peer Reviewed: Y
Page Count: 7
تاريخ النشر: 2024
نوع الوثيقة: Journal Articles
Reports - Descriptive
Descriptors: Test Scoring Machines, Computer Uses in Education, Artificial Intelligence, Essay Tests, Automation, Grading, Scoring Rubrics, Natural Language Processing
تدمد: 2148-3868
مستخلص: 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: a feature extractor and an automatic grading model. The latter is generally based on computational and artificially intelligent methods. In this work, we focus on the feature 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 analyze how argumentation and discourse analysis are used for extracting features and providing feedback.
Abstractor: As Provided
Entry Date: 2024
رقم الأكسشن: EJ1426360
قاعدة البيانات: ERIC