Books Sottilare, R., Graesser, A., Hu, X., Holden, H. (Eds.)(2013). Design Recommendations for Intelligent Tutoring Systems: Learner Modeling (Vol.1). Orlando, FL: Army Research Laboratory. Link to PDF Sottilare, R., Graesser, A.C., Hu, X., & Goldberg, B. (Eds.)(2014). Design Recommendations for Intelligent Tutoring Systems: Instructional Management (Vol.2). Orlando, FL: Army Research Laboratory. Link to PDF Refereed Journal Publications (Does not include book chapters) Dowell, N. M., & Graesser, A. C. (2015). Modeling learners’ cognitive, affective, and social processes through language and discourse. Journal of Learning Analytics, 1(3). 183-186. Link to PDF
Dowell, N. M., Graesser, A. C., Cai, Z. (2016). Language and discourse analysis with Coh-Metrix: Applications from educational material to learning environments at scale. Journal of Learning Analytics, 3(3) 72-95. Link to PDF
Dowell, N., Windsor, L., & Graesser, A. (2015). Computational linguistics analysis of leaders during crises in authoritarian regimes. Dynamics of Asymmetric Conflict, 8(3), 1-12. doi:10.1080/17467586.2015.1038286. Link to PDF Fulmer, S. M., D'Mello, S. K., Strain, A., Graesser, A. C. (2015). Interest-based text preference moderates the effect of text difficulty on engagement and learning. Contemporary Educational Psychology, 41, 98-110. Link to PDF Graesser, A.C. (2016). Conversations with AutoTutor help students learn. International Journal of Artificial Intelligence in Education, 26, 124-132. Link to PDF Graesser, A.C. (2015). Deeper learning with advances in discourse science and technology. Policy Insights from Behavioral and Brain Sciences, 2, 42-50. Link to PDF Li, H., & Graesser, A. C. (2016). Formality of the Chinese collective leadership. Behavior Research Methods, 48, 922-935. DOI: 10.3758/s13428-016-0775-4. Link to PDF Li, H., Graesser, A. C., Conley, M., Cai, Z., Pavlik, P., & Pennebaker, J. W. (2015). A new measure of text formality: An analysis of discourse of Mao Zedong. Discourse Processes, 52(1), 1-28. doi:10.1080/0163853X.2015.1010191 Link to PDF Medimorecc, M.A., Pavlik, P., Olney, A.,
Graesser, A.C., & Risko, E.F. (2015). The language of instruction:
Compensating for challenge in lectures. Journal
of Educational Psychology, 107, 971-990. http://doi.org/10.1037/edu0000024. Link to PDF Rubin, D. C., Deffler, S. A., Ogle, C. M., Dowell, N. M., & Graesser, A. C. (2016). Participant, Rater, and Computer Measures of Coherence in Posttraumatic Stress Disorder. Journal of Abnormal Psychology, 125,(1), 11-25. doi: http://dx.doi.org/10.1037/ abn0000126 Link to PDF Book Chapters D’Mello, S.
K. & Graesser, A. C. (2015).
Feeling, thinking, and computing with affect-aware learning technologies.
In Calvo, R. A., D’Mello, S. K., Gratch, J., & Kappas, A. (Eds.). Handbook of Affective Computing (pp.
419-434). Oxford University Press. Link to PDF Cai, Z.,
Graesser, A.C., & Hu, X. (2015).
ASAT: AutoTutor script authoring tool.
In. R. Sottilare,
A.C. Graesser, X. Hu, & K. Brawner (Eds.), Design Recommendations for
Intelligent Tutoring Systems: Authoring Tools (Vol.3)(pp.199-210). Orlando, FL: Army Research Laboratory. Graesser, A.C., Baer, W., Feng, S., Walker, B., Clewley, D., Hays, D.P., Greenberg, D. (2015). Emotions in Adaptive Computer Technologies for Adults Improving Reading. In S. Tettegah and M. Gartmeier (Eds.), Emotions, Technology, Design, and Learning (pp. 3-25). New York:Elsevier.
Graesser, A.C., Cai, Z., Baer, W., Olney, A.M., Hu, X., Reed, M., Greenberg, D. (2016). Reading Comprehension Lessons in AutoTutor for the Center for the Study of Adult Literacy. In S. Crossley and D. McNamara (Eds.), Adaptive Educational Technologies for Literacy Instruction (pp. 157). New York: Routledge. Link to PDF Graesser, A.C., Li, H., Feng, S. (2015). Constructing inferences in naturalistic reading contexts. In E. O’Brien, A. Cook, and R. Lorch, (Eds.), Inferences during Reading (pp. 290-320). Cambridge: Cambridge University Press. Link to PDF Graesser, A.C., Forsyth, C.M., & Foltz, P. (2016). Assessing conversation quality, reasoning, and problem solving performance with computer agents. In B. Csapo, J. Funke, and A. Schleicher (Eds.), On the nature of problem solving: A look behind PISA 2012 problem solving assessment (pp. 275-297). Heidelberg, Germany: OECD Series. Link to PDF Graesser, A.C., Hu, X., Nye, B., Sottilare, R. (2016). Intelligent tutoring systems, serious games, and the Generalized Intelligent Framework for Tutoring (GIFT). In H.F. O’Neil, E.L. Baker, and R.S. Perez. (Eds.), Using games and simulation for teaching and assessment (pp. 58-79). Routledge: Abingdon, Oxon, UK. Link to PDF Graesser, A. C., Millis, K., D’Mello, S. K., & Hu, X. (2015). Conversational agents can help humans identify flaws in the science reported in digital media. In D. Rapp & J. Braasch (Eds.) Processing Inaccurate Information: Theoretical and Applied Perspectives from Cognitive Science and the Educational Sciences (pp. 139-158). MIT Press: Cambridge, MA. Link to PDF Lehman, B., & Graesser, A.C. (2016). Arguing your way out of confusion. In F. Paglieri (Ed.), The Psychology of argument: Cognitive approaches to argumentation and persuasion. London: College Publications. Li, H., Shubeck, K., & Graesser, A. C. (2016). Using technology in language assessment. In D. Tsagari, & J. V. Banerjee (Eds.), Contemporary second language assessment: Contemporary applied linguistics (Vol. 4, pp. 281-298). London, UK: Bloomsbury Academic. Link to PDF Shaffer, D.W., Ruis, A.R., & Graesser, A.C. (2015). Authoring networked learner models in complex domains. In. R. Sottilare, A.C. Graesser, X. Hu, & K. Brawner (Eds.), Design Recommendations for Intelligent Tutoring Systems: Authoring Tools (Vol.3)(pp.179-192). Orlando, FL: Army Research Laboratory. Refereed Conference Publications and Abstracts
Dowell, N. M., Oleksandra, S., Joksimović, S., Graesser, A. C., Dawson, S., Gašević, S., Hennis, T., de Vries, P., & Kovanović, V. (2015). Modeling learners’ social centrality and performance through language and discourse. In O. Santos, J. Boticario, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, J. Luna, C. Mihaescu, P. Moreno, A. Hershkovitz, S. Ventura, and M. Desmarais (Eds.), Proceedings of the 8th International Conference on Educational Data Mining (pp. 250-257). International Educational Data Mining Society. Link to PDF Cai, Z., Li, H., Hu, X., & Graesser A. C. (2016). Can word probabilities from LDA be simply added up to represent documents? In T. Barnes, M. Chi, & M. Feng (Eds.), In Proceedings of the 9th International Conference on Educational Data Mining (pp. 577-578). Raleigh, North Carolina: EDM Society. Link to PDF Feng, S., Stewart, J., Clewley, D., & Graesser, A. C.(2015). Emotional, epistemic, and neutral feedback in AutoTutor trialogues to improve reading comprehension. In C. Conati, N. Heffernan, A. Mitrovic, M. F. Verdejo (Eds.), Proceedings of the 17th International Conference on Artificial Intelligence in Education (pp. 570-573). Cham: Springer. Link to PDF Forsyth, C.M., Graesser,A.C., Olney, A.M., Millis, K., Walker, B. & Cai,C. (2015). Moody agents: Affect and discourse during learning in a serious game. In C. Conati, N. Heffernan, A. Mitrovic, M. F. Verdejo (Eds.), Proceedings of the 17th International Conference on Artificial Intelligence in Education (pp. 135-144). Cham: Springer. Link to PDF Goedecke, P., Dong, D., Shi, G., Feng, S., Risko, E., Olney, A., D'Mello, S., & Graesser, A. (2015). Breaking off engagement: Readers’ cognitive decoupling as a function of reader and text characteristics. In O. Santos, J. Boticario, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, J. Luna, C. Mihaescu, P. Moreno, A. Hershkovitz, S. Ventura, and M. Desmarais (Eds.), Proceedings of the 8th International Conference on Educational Data Mining (pp. 448-451). International Educational Data Mining Society. Link to PDF Joksimović, S., Dowell, N. M., Oleksandra, S., Kovanović, V., Gašević, D., Dawson, S., & Graesser, A. C. (2015). How do you connect? Analysis of social capital accumulation in connectivist MOOCs. In J. Baron, & G. Lynch (Eds.), Proceedings of the 5th International Conference on Learning Analytics and Knowledge (pp. 64-68). New York: ACM. doi: 10.1145/2723576.2723604 Link to PDF Lehman, B., & Graesser A. (2015). To resolve or not to resolve? That is the big question about confusion. In C. Conati, N. Heffernan, A. Mitrovic, M. F. Verdejo (Eds.), Proceedings of 17th International Conference on Artificial Intelligence in Education (AIED2015) (pp. 216-225). Cham: Springer. Link to PDF Li, H., Cheng, C., Yu, Q., & Graesser A. C. (2015). The role
of peer agent’s learning competency in trialogue-based reading intelligent
systems. In C. Conati, N. Heffernan, A. Mitrovic, M. F. Verdejo (Eds.), Proceedings of 17th International Conference on Artificial Intelligence in Education (pp. 694–697). Cham: Springer. Link to PDF Li, H., Cai, Z., & Graesser A. C. (2016). How good is popularity? Summary grading in crowdsourcing. In T. Barnes, M. Chi, & M. Feng (Eds.), Proceedings of the 9th International Conference on Educational Data Mining (pp. 430-435). Raleigh, North Carolina: EDM Society. Link to PDF Li, H., Cheng, C., & Graesser, A. C. (2015). A measure of text
formality as a human construct. In I. Russel & B. Eberle (Eds.), Proceedings
of the Twenty-eighth International Florida Artificial Intelligence Research
Society Conference (pp. 175–180). Palo Alto, California: AAAI Press. Link to PDF Nixon, T., & Dowell, N. M. (2016). Coh-Metrix in the
Cloud: lessons from implementing a web-scale text analytics platform. In R.
Ferguson, M. Sharkey, & N. Mirriahi (Eds.), Practitioner Track Proceedings
of the 6th International Learning Analytics & Knowledge Conference (LAK16)
(pp. 45–46). University of Edinburgh, Edinburgh, UK: SoLAR. Link to PDF Samei, B., Olney, A., Kelly, S., Nystrand, M., D’Mello, S., Blanchard, N., & Graesser, A. (2015). Modeling classroom discourse: Do models of predicting dialogic instruction properties generalize across populations? In O. Santos, J. Boticario, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, J. Luna, C. Mihaescu, P. Moreno, A. Hershkovitz, S. Ventura, and M. Desmarais (Eds.), Proceedings of the 8th International Conference on Educational Data Mining (pp. 444-447). International Educational Data Mining Society. Link to PDF |
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