Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays

Yanjun Gao, Alex Driban, Brennan Xavier McManus, Elena Musi, Patricia Davies, Smaranda Muresan, Rebecca J. Passonneau


Abstract
We present a unique dataset of student source-based argument essays to facilitate research on the relations between content, argumentation skills, and assessment. Two classroom writing assignments were given to college students in a STEM major, accompanied by a carefully designed rubric. The paper presents a reliability study of the rubric, showing it to be highly reliable, and initial annotation on content and argumentation annotation of the essays.
Anthology ID:
W19-4452
Volume:
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | BEA | WS
SIG:
SIGEDU
Publisher:
Association for Computational Linguistics
Note:
Pages:
507–518
Language:
URL:
https://aclanthology.org/W19-4452
DOI:
10.18653/v1/W19-4452
Bibkey:
Cite (ACL):
Yanjun Gao, Alex Driban, Brennan Xavier McManus, Elena Musi, Patricia Davies, Smaranda Muresan, and Rebecca J. Passonneau. 2019. Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays. In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 507–518, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays (Gao et al., 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-4452.pdf
Code
 psunlpgroup/SEAView