Samuel Greiff

Professor of Educational Monitoring & Effectiveness



Methods for assessing inquiry. Machine-learned and theoretical


Book chapter


M. M. LaMar, R. Baker, S. Greiff
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

Cite

Cite

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.}
}


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