Book chapter
Design recommendations for intelligent tutoring systems (Volume 5) , R. Sottilare, A. Graesser, X. Hu, G. Goodwin, Army Research Laboratory, Orlando, FL, 2017, pp. 137-153
Professor of Educational Monitoring & Effectiveness
APA
Click to copy
LaMar, M. M., Baker, R., & Greiff, S. (2017). Methods for assessing inquiry. Machine-learned and theoretical. In R. Sottilare, A. Graesser, X. Hu, & G. Goodwin (Eds.) (pp. 137–153). Orlando, FL: Army Research Laboratory.
Chicago/Turabian
Click to copy
LaMar, M. M., R. Baker, and S. Greiff. “Methods for Assessing Inquiry. Machine-Learned and Theoretical.” In , edited by R. Sottilare, A. Graesser, X. Hu, and G. Goodwin, 137–153. Design recommendations for intelligent tutoring systems (Volume 5) . Orlando, FL: Army Research Laboratory, 2017.
MLA
Click to copy
LaMar, M. M., et al. Methods for Assessing Inquiry. Machine-Learned and Theoretical. Edited by R. Sottilare et al., Army Research Laboratory, 2017, pp. 137–53.
BibTeX Click to copy
@inbook{lamar2017a,
title = {Methods for assessing inquiry. Machine-learned and theoretical},
year = {2017},
address = {Orlando, FL},
pages = {137-153},
publisher = {Army Research Laboratory},
series = {Design recommendations for intelligent tutoring systems (Volume 5) },
author = {LaMar, M. M. and Baker, R. and Greiff, S.},
editor = {Sottilare, R. and Graesser, A. and Hu, X. and Goodwin, G.}
}