@inproceedings{dfbfffa5a43b4bcfa63fde7f015f8212,
title = "Are you committed? Investigating interactions among reading commitment, natural language input, and students' learning outcomes",
abstract = "The current study identifies relations among students{\textquoteright} natural language input, individual differences in reading commitment, and learning gains in an intelligent tutoring system. Students (n = 84) interacted with iSTART across eight training sessions. Linguistic features of students{\textquoteright} generated self-explanations (SEs) were analyzed using Coh-Metrix. Results indicated that linguistic properties of students{\textquoteright} training SEs were predictive of learning gains, and that the strength and nature of these relations differed for students of low and high commitment to reading.",
keywords = "Intelligent tutoring systems, Learning, Natural language processing, Reading commitment",
author = "Varner, {Laura K.} and Jackson, {G. Tanner} and Snow, {Erica L.} and McNamara, {Danielle S.}",
year = "2013",
month = jan,
day = "1",
language = "English (US)",
series = "Proceedings of the 6th International Conference on Educational Data Mining, EDM 2013",
publisher = "International Educational Data Mining Society",
editor = "D'Mello, {Sidney K.} and Calvo, {Rafael A.} and Andrew Olney",
booktitle = "Proceedings of the 6th International Conference on Educational Data Mining, EDM 2013",
note = "6th International Conference on Educational Data Mining, EDM 2013 ; Conference date: 06-07-2013 Through 09-07-2013",
}