TY - GEN
T1 - Pssst⋯ Textual features⋯ There is more to automatic essay scoring than just you!
AU - Crossley, Scott
AU - Allen, Laura K.
AU - McNamara, Danielle S.
AU - Snow, Erica L.
PY - 2015/3/16
Y1 - 2015/3/16
N2 - This study investigates a new approach to automatically assessing essay quality that combines traditional approaches based on assessing textual features with new approaches that measure student attributes such as demographic information, standardized test scores, and survey results. The results demonstrate that combining both text features and student attributes leads to essay scoring models that are on par with state-of-the-art scoring models. Such findings expand our knowledge of textual and nontextual features that are predictive of writing success.
AB - This study investigates a new approach to automatically assessing essay quality that combines traditional approaches based on assessing textual features with new approaches that measure student attributes such as demographic information, standardized test scores, and survey results. The results demonstrate that combining both text features and student attributes leads to essay scoring models that are on par with state-of-the-art scoring models. Such findings expand our knowledge of textual and nontextual features that are predictive of writing success.
KW - Automatic essay scoring
KW - Corpus linguistics
KW - Data mining
KW - Individual differences
KW - Intelligent tutoring systems
KW - Natural language processing
UR - https://www.scopus.com/pages/publications/84955561979
UR - https://www.scopus.com/pages/publications/84955561979#tab=citedBy
U2 - 10.1145/2723576.2723595
DO - 10.1145/2723576.2723595
M3 - Conference contribution
AN - SCOPUS:84955561979
T3 - ACM International Conference Proceeding Series
SP - 203
EP - 207
BT - Proceedings of the 5th International Conference on Learning Analytics and Knowledge, LAK 2015
PB - Association for Computing Machinery
T2 - 5th International Conference on Learning Analytics and Knowledge, LAK 2015
Y2 - 16 March 2015 through 20 March 2015
ER -