TY - GEN
T1 - A multi-Dimensional analysis of writing flexibility in an automated writing evaluation system
AU - Allen, Laura K.
AU - Likens, Aaron D.
AU - McNamara, Danielle
N1 - Funding Information: This research was supported in part by the Institute of Education Sciences (R305A120707) and the Office of Naval Research (ONR N000141712300). Any opinions, conclusions, or recommendations expressed are those of the authors and do not necessarily represent views of either IES or ONR. We also thank Cecile Perret, Rod Roscoe and Jianmin Dai for their help with the data collection and developing the ideas found in this paper. Publisher Copyright: © 2018 Copyright is held by the owner/author(s).
PY - 2018/3/7
Y1 - 2018/3/7
N2 - The assessment of writing proficiency generally includes analyses of the specific linguistic and rhetorical features contained in the singular essays produced by students. However, researchers have recently proposed that an individual’s ability to flexibly adapt the linguistic properties of their writing might more closely capture writing skill. However, the features of the task, learner, and educational context that influence this flexibility remain largely unknown. The current study extends this research by examining relations between linguistic flexibility, reading comprehension ability, and feedback in the context of an automated writing evaluation system. Students (n = 131) wrote and revised six essays in an automated writing evaluation system and were provided both summative and formative feedback on their writing. Additionally, half of the students had access to a spelling and grammar checker that provided lower-level feedback during the writing period. The results provide evidence for the fact that developing writers demonstrate linguistic flexibility across the essays that they produce. However, analyses also indicate that lower-level feedback (i.e., spelling and grammar feedback) have little to no impact on the properties of students’ essays nor on their variability across prompts or drafts. Overall, the current study provides important insights into the role of flexibility in writing skill and develops a strong foundation on which to conduct future research and educational interventions.
AB - The assessment of writing proficiency generally includes analyses of the specific linguistic and rhetorical features contained in the singular essays produced by students. However, researchers have recently proposed that an individual’s ability to flexibly adapt the linguistic properties of their writing might more closely capture writing skill. However, the features of the task, learner, and educational context that influence this flexibility remain largely unknown. The current study extends this research by examining relations between linguistic flexibility, reading comprehension ability, and feedback in the context of an automated writing evaluation system. Students (n = 131) wrote and revised six essays in an automated writing evaluation system and were provided both summative and formative feedback on their writing. Additionally, half of the students had access to a spelling and grammar checker that provided lower-level feedback during the writing period. The results provide evidence for the fact that developing writers demonstrate linguistic flexibility across the essays that they produce. However, analyses also indicate that lower-level feedback (i.e., spelling and grammar feedback) have little to no impact on the properties of students’ essays nor on their variability across prompts or drafts. Overall, the current study provides important insights into the role of flexibility in writing skill and develops a strong foundation on which to conduct future research and educational interventions.
KW - Feedback
KW - Flexibility
KW - Natural language processing
KW - Revision
KW - Writing
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U2 - 10.1145/3170358.3170404
DO - 10.1145/3170358.3170404
M3 - Conference contribution
T3 - ACM International Conference Proceeding Series
SP - 380
EP - 388
BT - Proceedings of the 8th International Conference on Learning Analytics and Knowledge
PB - Association for Computing Machinery
T2 - 8th International Conference on Learning Analytics and Knowledge, LAK 2018
Y2 - 5 March 2018 through 9 March 2018
ER -