Recent Presentations Click here for the presentation at the Serious Play conference in Redmond, Washington Books D’Mello, S. K., Graesser, A. C., Schuller, B., & Martin, J. (Ed.s). (2011). Affective Computing and Intelligent Interaction (ACII 2011). Springer: Berlin Heidelberg. Link to Book Refereed Journal Publications (Does not include book chapters) D'Mello, S. K., Dale, R., & Graesser, A. C. (2012). Disequilibrium in the mind, disharmony in the body. Cognition and Emotion, 26(2), 362-374. Link to PDF D'Mello, S. K., Dowell, N., & Graesser, A. C. (2011). Does it really matter whether students' contributions are spoken versus typed in an intelligent tutoring system with natural language? Journal of Experimental Psychology: Applied, 17(1), 1-17. Link to PDF D'Mello, S. K., & Graesser, A. C. (2011). The half-life of cognitive-affective states during complex learning. Cognition and Emotion, 25(7), 1299-1308. Link to PDF D’Mello, S., & Graesser, A.C. (2012). Language and discourse are
powerful signals of student emotions during tutoring. IEEE Transactions on
Learning Technologies, 5(4), 304-317. Link to PDF D’Mello, S. K. & Graesser,
A. C. (2012). Dynamics of affective states
during complex learning. Learning
and Instruction, 22, 145-157. Link to PDF D'Mello, S. K., & Graesser, A. C. (2012). AutoTutor and affective AutoTutor: Learning by talking with cognitively
and emotionally intelligent computers that talk back. ACM Transactions on Interactive
Intelligent Systems, 2(4), 23:1-38. Link to PDF D'Mello, S. K., Lehman, B., Pekrun, R., & Graesser, A. C. (in press). Confusion can be beneficial for learning. Learning and Instruction. Link to PDF Goldman, S. R., Braasch, J. L. G., Wiley, J., Graesser, A. C., & Brodowinska, K. (2012). Comprehending and learning from internet sources: Processes patterns of better and poorer learners. Reading Research Quarterly, 47, 356-381. Link to PDF Graesser, A.C. (2011). Improving
learning. Monitor on Psychology, July/August, 2-8. Link to PDF Graesser, A.C. (2011). Learning, thinking, and emoting with discourse technologies. American Psychologist. Link to PDF Graesser, A. C., & D'Mello, S. K. (2012). Moment-to-moment emotions during reading. The Reading Teacher, 66, 238-242. Link to PDF Graesser, A. C., D'Mello, S. K., & Strain, A. (2011). Computer agents that help students learn with intelligent strategies and emotional sensitivity. Philippine Computing Journal, 6(2), 1-8. Link to PDF Graesser,
A. C., Dowell, N., & Moldovan, C. (2011). A computer’s
understanding of literature. Scientific Studies of Literature. Link to PDF Graesser, A.C., & Hu, X. (2011). Commentary on causal prescriptive statements. Educational Psychology Review, 23(2), 279-285. Link to PDF Graesser, A. C., & McNamara, D. S. (2011). Computational analyses of multilevel discourse comprehension. Topics in Cognitive Science. Link to PDF Graesser, A.C., McNamara, D.S., & Kulikowich, J. (2011). Coh-Metrix: Providing multilevel analyses of text characteristics. Educational Researcher, 40(5), 223-234. Link to PDF Halpern, D. F., Millis, K., Graesser, A. C., Butler, H., Forsyth, C., & Cai, Z. (2012). Operation ARA: A computerized learning game that teaches critical thinking and scientific reasoning. Thinking Skills and Creativity, 7, 93-100. Link to PDF
Hu, X., Craig,
S. D., Bargagliotti A. E., Graesser, A. C., Okwumabua, T., Anderson, C.,
Cheney, K. R., & Sterbinsky, A. (2012). The effects of a traditional
and technology-based after-school setting on 6th grade students’ mathematics
skills. Journal of Computers in
Mathematics and Science Teaching, 31(1), 17-38. Link to PDF Kopp, K. J., Britt, M. A., Millis, K., & Graesser, A. C. (2012). Improving the efficiency of dialogue in tutoring. Learning and Instruction, 22(5), 320-330. doi: 10.1016/j.learninstruc.2011.12.002 Link to PDF Lehman, B., D’Mello, S. K., & Graesser, A. C. (2012). Confusion and Complex Learning during Interactions with Computer Learning Environments. The Internet and Higher Education, 15, 184-194. Link to PDF Magliano, J. P., & Graesser, A. C. (2012). Computer-based assessment of student-constructed responses. Behavioral Research Methods, 44, 608-621. Link to PDF
Olney, A.M., Graesser, A.C., & Person, N.K.
(2012). Question generation
from concept maps. Dialogue & Discourse, 3(2), 75 - 99. Link to PDF Book Chapters Butler, H., Forsyth, C., Halpern, D., Graesser, A. C., & Millis, K. (2012). Secret agents, alien spies, and a quest to save the world: Operation ARIES! Engages students in scientific reasoning and critical thinking. In R. L. Miller, R. F. Rycek, E. Amsel, B. Kowalski, B. Beins, K. Keith, & B. Peden (Eds.)., Volume 1: Programs, techniques and opportunities. Syracuse, NY: Society for the Teaching of Psychology. Link to PDF D'Mello, S. K., & Graesser, A. C. (2011). Automated detection of cognitive-affective states from text dialogues. In P. M. McCarthy, & C. Boonthum (Eds.), Applied natural language processing and content analysis: Identification, investigation and resolution. Hershey, PA: IGI Global. Link to Book D'Mello, S. K., & Graesser, A. C. (2012).
Emotions during learning with AutoTutor. In P. J. Durlach, & A.
Lesgold (Eds.), Adaptive technologies for training and education. Cambridge, U.K.: Cambridge University Press. Link to PDF D'Mello, S. K., Lehman, B., & Graesser, A. C. (2011). A motivationally supportive affect-sensitive AutoTutor. In R. Calvo and S. K. D'Mello (Eds.). New perspectives on affect and learning technologies (pp.113-126). New York: Springer. Link to PDF D'Mello, S. K., Strain, A. C., Olney, A. M., & Graesser, A. C. (2011). Affect, meta-affect, and affect regulation during complex
learning. In R. Azevedo, & V. Aleven (Eds.), International handbook of metacognition and learning technologies (pp. 669-681). New York: Springer. Link to Book D'Mello, S. K., & Graesser, A. C. (2012). Text-Based Affect Detection in Intelligent Tutors. In P. McCarthy, C.
Boonthum-Denecke, & T. Lamkin (Eds.), Cross-Disciplinary Advances in
Applied Natural Language Processing: Issues and Approaches (pp. 284-304).
Hershey, PA: IGI Global. Link to PDF D’Mello,
S. K., & Graesser, A. C. (2012). Emotions during learning with AutoTutor.
In P. Durlach and A. Lesgold (Eds.), Adaptive Technologies for Training and
Education (pp. 117-139). Cambridge, U.K.: Cambridge University Press. Link to Book D’Mello, S. K.
& Graesser, A. C. (2011). Confusion. In R. Pekrun & L.
Linnenbrink-Garcia (Eds.), Handbook of emotions and education. New York, NY: Taylor
& Francis. Link to Book Graesser, A. C. (2011). AutoTutor. In P. M. McCarthy, & C. Boonthum (Eds.), Applied natural language processing and content analysis: Identification, investigation and resolution. Hershey, PA: IGI Global. Link to Book Graesser, A. C., Conley, M. W., & Olney, A. M. (2012). Intelligent tutoring systems. In S. Graham, & K. Harris (Eds.), APA Educational Psychology Handbook: Vol. 3. Applications to Learning and Teaching (pp. 451-473). Washington, DC: American Psychological Association. Link to PDF Graesser, A. C., & D'Mello, S. K. (2011). Theoretical perspectives on affect and deep learning. In R. Calvo and S. K. D'Mello (Eds.). New perspectives on affect and learning technologies (pp. 11-22). New York: Springer. Link to PDF Graesser, A.C.,
& D’Mello, S. (2012). Emotions during the learning of difficult
material. In. B. Ross (Eds.), The
Psychology of Learning and Motivation, vol. 57 (pp. 183-225). Elsevier. Link to PDF Graesser, A. C., D'Mello, S. K., & Cade, W. (2011). Instruction based on tutoring. In R. E. Mayer, & P. A. Alexander (Eds.), Handbook of research on learning and instruction (pp. 408-426). New York: Routledge. Link to PDF Graesser,
A. C., D'Mello, S. K., Hu, X., Cai, Z., Olney, A., & Morgan, B. (2012). AutoTutor. In P. M. McCarthy, & C. Boonthum (Eds.), Applied natural language processing and content analysis: Identification, investigation and resolution (pp. 169-187). Hershey, PA: IGI Global. Link to Book Graesser, A. C., Franceschetti, D. R., Gholson, B., & Craig, S. D. (2011). Learning Newtonian physics with conversational agents and interactive simulation. In N. L. Stein, & S. Raudenbush (Eds.), Developmental cognitive science goes to school (pp. 157-172). New York: Routledge. Link to PDF Graesser, A. C., Keshtkar, F., & Li, H. (2014). Discourse processing in tutoring systems. Role of natural language and discourse processing in advanced tutoring systems In T. Holtgraves (Ed.), Oxford Handbook of Language and Social Psychology. Oxford, U.K.: Oxford University Press. Link to PDF Graesser, A. C., &
Lehman, B. (2012). Questions drive comprehension of text and
multimedia. In M. T. McCrudden, J. Magliano, and G. Schraw (Eds.), Text
relevance and learning from text (pp. 53-74). Greenwich, CT: Information Age
Publishing. Link to PDF Graesser, A. C., McNamara, D. S., & Rus, V. (2011). Computational modeling of discourse and conversation. In M. Spivey, M. Joanisse, & K. McRae (Eds.), The Cambridge handbook of psycholinguistics. Cambridge, U.K.: Cambridge University Press. Link to PDF Graesser, A. C., & McNamara, D. S. (2012). Automated analysis of essays and open-ended verbal responses. In H. Cooper, P. M. Camic, D. L. Long, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), APA Handbook of Research Methods in Psychology, Vol 1: Foundations, Planning, Measures, and Psychometrics (pp. 307-325). Washington, DC: American Psychological Association. Link to PDF Graesser, A. C., & McNamara, D. S. (2012). Reading instruction: Technology-based supports for classroom instruction. In C. Dede & J. Richards (Eds.), Digital Teaching Platforms: Customizing Classroom Learning for Each Student (pp. 71-87). New York, NY: Teachers College Press. Link to PDF Graesser, A.C., McNamara, D.S., & Louwerse, M.M. (2011). Methods of automated text analysis. In M.L. Kamil, D. Pearson, E.B. Moje, & P. Afflerbach (Eds.), Handbook of Reading Research, Volume IV (pp. 34-53). New York: Routledge Link to PDF Graesser, A. C., & Millis, K. K. (2011). Discourse and cognition. In T. Van Dijk (Ed.), Discourse studies. (pp. 126-142). Los Angeles: Sage. Link to PDF Graesser, A. C., Rus, V., Cai, Z., & Hu, X. (2012). Question answering and asking. In P. M. McCarthy, & C.
Boonthum (Eds.), Applied natural language processing and content analysis: Identification, investigation and resolution. Hershey, PA: IGI Global. Link to PDF Lintean, M., Rus, V., Cai, Z., Witherspoon-Johnson,
A., Graesser, A. C., & Azevedo, R. (2012). Computational aspects of the intelligent tutoring system MetaTutor.
In P. McCarthy and C. Boonthum-Denecke (Eds.), Applied natural
language processing: Identification, investigation, and resolution (pp.
247-260). Hershey, PA: IGI Global. Link to Book Mavrikis, M., D'Mello, S. K., Porayska-Pomsta, K.,
Cocea, M., & Graesser, A. C. (2011). Modeling affect by mining
students' interactions within learning environments. In C. Romero, S.
Ventura, M. Pechenizkiy & Baker, Ryan S. J. d. (Eds.), Handbook of educational data mining (pp. 231-244). Boca Raton, FL: CRC Press. Link to PDF McCarthy, P. M., Dufty, D., Hempelman, C., Cai, Z., Graesser, A. C., & McNamara, D. S. (2011). Evaluating givenness/newness. In P. M. McCarthy & C. Boonthum (Eds.), Applied natural language processing and content analysis: Identification, investigation, and resolution (pp. 231-244). . Hershey, PA: IGI Global. Link to Book McNamara, D. S., & Graesser, A. C. (2011). Coh-Metrix: An automated tool for theoretical and applied natural language processing. In P. M. McCarthy & C. Boonthum (Eds.), Applied natural language processing and content analysis: Identification, investigation, and resolution (pp.188-205). Hershey, PA: IGI Global. Link to PDF McNamara, D. S., Graesser, A. C, & Louwerse, M. M. (2012). Sources of text difficulty: Across the ages and genres. In J. P. Sabatini & E. Albro (Eds.), Assessing reading in the 21st century: Aligning and applying advances in the reading and measurement sciences (pp.89-116). Lanham, MD: R&L Education. Link to PDF McNamara, D. S., Raine, R., Roscoe, R., Crossley, S., Jackson, G. T., Dai, J., Cai, Z., Renner, A., Brandon, R., Weston, J., Dempsey, K., Lam, D., Sullivan, S., Kim, L., Rus, V., Floyd, R., McCarthy, P. M., & Graesser, A. C. (2012). The Writing-Pal: Natural language algorithms to support intelligent tutoring on writing strategies. In P. M. McCarthy & C. Boonthum (Eds.), Applied natural language processing and content analysis: Identification, investigation, and resolution (298-311). Hershey, PA: IGI Global. Link to Book Millis, K., Forsyth, C., Butler, H., Wallace, P., Graesser, A. C., & Halpern, D. (2011). Operation ARIES! A serious game for teaching scientific inquiry. In M. Ma, A. Oikonomou, & J. Lakhmi (Eds.), Serious games and edutainment applications (pp.169-196). London: Springer-Verlag. Link to PDFRus, V., Lintean, M., Graesser, A. C., & McNamara, D.S. (2012). Text-to-text similarity of statements. In P. McCarthy and C. Boonthum-Denecke (Eds.), Applied natural language processing: Identification, investigation, and resolution (pp. 110-121). Hershey, PA: IGI Global. Link to PDF Refereed Conference Publications and Abstracts Burkett, C., Keshtkar, Graesser, A.C., & Li, H. (2012). Constructing a Personality-Annotated Corpus for Educational Game based on Learys Rose Framework. In Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference (pp. 147-150). Link to PDF Cai, Z., Forsyth, C. Germany, M. L, Graesser, A. & Millis, K. (2012). Accuracy of tracking student’s natural language in OperationARIES!: A serious game for scientific methods. In S. A. Cerri and B. Clancey (Eds.) Proceedings of the 11th International Conference on Intelligent Tutoring Systems (ITS 2012) (pp. 629-630). Berlin: Springer-Verlag. Link to PDF Cai, Z., Graesser, A.C., Forsyth, C., Burkett, C., Millis, K., Wallace, P., Halpern, D. & Butler, H. (2011, November). Trialog in ARIES: User Input Assessment in an Intelligent Tutoring System. In W. Chen & S. Li (Eds.), Proceedings of the 3rd IEEE International Conference on Intelligent Computing and Intelligent Systems (pp.429-433). Guangzhou: IEEE Press. Link to PDF Cheney, K. R., Craig, S. D. Anderson, C., Bargagloitti, A., Graesser, A. C., Sterbinsky, A., Okumabua, T., & Hu, X. (2011). Closing the knowledge Gap in Mathematics among sixth grade students using ALEKS. In M. Koehler & P. Mishra (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference 2011 (pp. 1425-1427). Chesapeake, VA: AACE. Craig, S.D., Anderson, C., Bargagloitti, A., Graesser, A. C., Okwumabua, T., Sterbinsky, A., & Hu, X. (2011). Learning with ALEKS: The Impact of Students' Attendance in a Mathematics After-School Program. In G. Biswas, S. Bull, J. Kay, & A. Mitrovic (Eds.), Proceedings of 15th International Conference on Artificial Intelligence in Education (pp. 450-452). Berlin: Springer-Verlag. Link to PDF D’Mello, S. K.
& Graesser, A. C. (2012). Malleability of Students’ Perceptions of
an Affect-Sensitive Tutor and its Influence on Learning. In G.
Youngblood & P. McCarthy (Eds.) Proceedings of 25th Florida Artificial
Intelligence Research Society Conference (pp. 432-437). Menlo Park, CA:
AAAI Press. Link to PDF Dowell, N., D’Mello, S. K., Mills, C., & Graesser, A. C. (2011). Does Topic Matter? Topic Influences on Linguistic and Rubric-Based Evaluation of Writing. In G. Biswas, S. Bull, J. Kay, & A. Mitrovic (Eds.), Proceedings of 15th International Conference on Artificial Intelligence in Education (pp. 435-437). Berlin: Springer-Verlag. Link to PDF Forsyth,C.M. Pavlik, P., Graesser,A.C. Cai,Z ,Germany,M, Millis, K., Butler,H., Halpern,D. and Dolan,R.(2012). Learning gains for core concepts in a serious game on scientific reasoning. In K.Yacef,O. Zaïane, H. Hershkovitz, M. Yudelson, and J. Stamper (Eds.) Proceedings of the 5th International Conference on Educational Data Mining (pp 172-175). Chania, Greece: International Educational Data Mining Society. Link to PDF Keshtkar, F., Burkett, C., Li, H., & Graesser, A.C. (2012). Detecting players personality behavior with any effort of concealment. In A. Gelbukh (Ed.), Proceedings of 13th International Conference on Intelligent Text Processing and Computational Linguistics (pp. 503-515). Heidelberg, Germany: Springer. Link to PDF Keshtkar, F., Morgan, B., & Graesser, A. (2012). Introducing an Intelligent Virtual Suggestor and Assessment in Computer Educational Game. In Proceedings of 11th International Conference on Intelligent Tutoring System, ISGL Workshop (ITS 2012), Chania, Greece. Link to PDF Keshtkar, F., & Morgan, B. & Graesser, A. (2012). Automated Detection of Mentors and Players in an Educational Game. In the 5th International Conference on Educational Data Mining (EDM12). Chania, Greece, June 19-21, 2012. Link to PDF Keshtkar, F., Hatfield, D., Wang, J., Cai, Z., & Graesser, A.C. (2012). The Components of the Intelligent Virtual Mentoring and Assessment in Computer Education Games for e-Learning. Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference (p. 570). Marco Island, FL: Association for the Advancement of Artificial Intelligence. Lehman, B. A., D'Mello, S. K., Strain, A., Gross, M., Dobbins, A., Wallace, P., Millis, K., & Graesser, A. C. (2011). Inducing and tracking confusion with contradictions during critical thinking and scientific reasoning. In G. Biswas, S. Bull, J. Kay, & A. Mitrovic (Eds.), Proceedings of 15th International Conference on Artificial Intelligence in Education (pp. 171-178). Berlin: Springer-Verlag. [WINNER OF BEST PAPER AWARD] Link to PDF Lehman, B., Mills, C., D'Mello, S., & Graesser, A. (2012). Automatic Evaluation of Learner Self-Explanations and Erroneous Responses for Dialogue-Based ITSs. In. S. A. Cerri, & B. Clancey (Eds.), Proceedings of 11th International Conference on Intelligent Tutoring Systems (ITS 2012) (pp. 544-553). Berlin: Springer-Verlag. Link to PDF Lehman, B., D'Mello, S., Cade, W., & Person, K. (2012). How Do They Do It? Investigating Dialogue Moves within Dialogue Modes in Expert Human Tutoring. In. S. A. Cerri, & B. Clancey (Eds.), Proceedings of 11th International Conference on Intelligent Tutoring Systems (ITS 2012) (pp. 560-565). Berlin: Springer-Verlag. Link to PDF Lehman, B., D'Mello, S., & Graesser, A. (2012). Interventions to Regulate Confusion to Learning. In. S. A. Cerri, & B. Clancey (Eds.), Proceedings of 11th International Conference on Intelligent Tutoring Systems (ITS 2012) (pp. 579-581). Berlin: Springer-Verlag. [WINNER OF YOUNG RESEARCHER TRACK AWARD] Link to PDF Li, H., Cai, Z., Graesser, A.C., & Duan, Y. (2012). A comparative study on English and Chinese word uses with LIWC. In G. M. Youngblood, & P. M. McCarthy (Eds.), Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference (pp. 238-243). Palo Alto, California: AAAI Press. Link to PDF Morgan, B., D’Mello, S. K., Fielding, J., Fike, K., Tamplin A., Radvansky, G., Arnett, J., Abbott, R., & Graesser, A. C. (2011). Strategy Shifting in a Procedural-Motor Drawing Task. In C. Hölscher, T. F. Shipley, & L. Carlson (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society, (pp. 2099-2104). Austin, TX: Cognitive Science Society. Link to PDF Morgan, B., Burkett, C., Bagley, E., & Graesser, A. C. (2011). Typed versus Spoken Conversations in a Multi-party Epistemic Game. In G. Biswas, S. Bull, J. Kay, & A. Mitrovic (Eds.), Proceedings of 15th International Conference on Artificial Intelligence in Education (pp. 513-515). Berlin: Springer-Verlag. Link to PDF Morgan, B., Keshtkar, F., Duan, Y., Nash, P., & Graesser, A.C. (2012). Using state transition networks to analyze multi-party conversations in a serious game. In. S. A. Cerri, & B. Clancey (Eds.), Proceedings of the 11th International Conference on Intelligent Tutoring Systems (ITS 2012) (pp. 162-167). Berlin: Springer-Verlag. Link to PDF. Olney, A.,
D’Mello, S. K., Person, N., Cade, W., Hays, P., Williams, C., Lehman, B.,
& Graesser, A. C. (2012). Guru: A Computer Tutor that Models Expert
Human Tutors. In S. Cerri, W. Clancey, G. Papadourakis, & K.
Panourgia (Eds.) Proceedings of the 11th International Conference on
Intelligent Tutoring Systems (pp. 256-261). Berlin Heidelberg:
Springer-Verlag. Link to PDF Strain, A. C. & D’Mello, S. K. & Graesser, A. C. (2011). Training Emotion Regulation Strategies During Computerized Learning: A Method for Improving Learner Self-Regulation.
In G. Biswas, S. Bull, J. Kay, & A. Mitrovic (Eds.), Proceedings of
15th International Conference on Artificial Intelligence in Education
(pp. 616-618). Berlin: Springer-Verlag. Link to PDF |
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