Reading comprehension publications

Books and proceedings

McNamara, D. S. (Ed.). (2007). Reading comprehension strategies: Theory, interventions, and technologies. Lawrence Erlbaum Associates, Inc.

McNamara, D. S., Graesser, A. C., McCarthy, P. M., & Cai, Z. (2014). Automated Evaluation of Text and Discourse with Coh-Metrix. Cambridge University Press. https://doi.org/10.1017/cbo9780511894664

Crossley, S. A., & McNamara, D. S. (Eds.). (2016). Adaptive educational technologies for literacy instruction. Routledge. https://doi.org/10.4324/9781315647500

Journal articles, book chapters, proceedings, encyclopedia articles, and book reviews

Doane, S.M., McNamara, D.S., Kintsch, W., Polson, P.G., & Clawson, D.M. (1992). Prompt comprehension in UNIX command production. Memory and Cognition, 20, 327-343.

Doane, S.M., Sohn, Y.W., Adams, D., & McNamara, D.S. (1994). Learning from instruction: A comprehension-based approach. In A. Ram & K. Eiselt (Eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society(pp. 254-259). Hillsdale, NJ: Erlbaum.

McNamara, D.S., & Kintsch, W. (1996). Learning from text: Effects of prior knowledge and text coherence. Discourse Processes, 22, 247-288.

McNamara, D.S., & Kintsch, W. (1996). Working memory in text comprehension: Interrupting difficult text. In G.W. Cottrell (Ed.), Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (pp. 104-109). Hillsdale, NJ: Erlbaum.

McNamara, D.S., Kintsch, E., Songer, N.B., & Kintsch, W. (1996). Are good texts always better? Interactions of text coherence, background knowledge, and levels of understanding in learning from text. Cognition and Instruction, 14, 1-43.

McNamara, D.S. (1997). Comprehension skill: A knowledge-based account. In M.G. Shafto & P. Langley (Eds.), Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society (pp. 508-513). Hillsdale, NJ: Erlbaum.

McNamara, D.S., & Scott, J.L. (1999). Training reading strategies. In M. Hahn & S.C. Stoness (Eds.), Proceedings of the Twenty First Annual Conference of the Cognitive Science Society (pp. 387-392). Hillsdale, NJ: Erlbaum.

McNamara, D.S., & Scott, J.L. (1999). Training self-explanation and reading strategies. In Proceedings of the Human Factors and Ergonomics Society Forty-third Annual Meeting. Houston, TX: Human Factors & Ergonomics Society.

Doane, S.M., Sohn, Y.W., McNamara, D.S., & Adams, D. (2000). Comprehension-based skill acquisition. Cognitive Science, 24, 1-52.

McNamara, D. S. (2000). Book review: Reading Comprehension Difficulties: Processes and Intervention, C. Cornoldi & J. Oakhill (Eds.). Journal of Pragmatics, 33, 943-956. Mahwah, NJ: Erlbaum.

Shapiro, A.M., & McNamara, D.S. (2000). The use of latent semantic analysis as a tool for the quantitative assessment of understanding and knowledge. Journal of Educational Computing Research, 22, 1-36.

McNamara, D.S. (2001). Reading both high-coherence and low-coherence texts: Effects of text sequence and prior knowledge. Canadian Journal of Experimental Psychology, 55, 51-62.

McNamara, D.S. (2001). Speed reading. In N.J. Smelser & P.B. Bates (Eds.), International Encyclopedia of the Social & Behavioral Sciences, New York, NY: Elsevier.

Millis, K.K, Magliano, J.P., Wiemer-Hastings, K., & McNamara, D.S. (2001). Using LSA in a computer-based test of reading comprehension. In J.D. Moore, C. Luckhardt-Redfield, & W.L. Johnson (Eds.), Artificial intelligence in education: AI-ED in the wired and wireless future: Vol. 68. Frontiers in artificial intelligence and applications (pp. 583-585). Amsterdam, The Netherlands: IOS Press.

Cottrell, K.G., & McNamara, D.S. (2002). Cognitive precursors to science comprehension. In W.D. Gray & C.D. Schunn (Eds.), Proceedings of the Twenty-fourth Annual Meeting of the Cognitive Science Society(pp. 244-249). Mawah, NJ: Erlbaum.

Magliano, J.P., Wiemer-Hastings, K., Millis, K.K., Muñoz, B.D., & McNamara, D.S. (2002). Using latent semantic analysis to assess reader strategies. Behavior Research Methods, Instruments, & Computers, 34, 181-188.

McNamara, D.S., & O’Reilly, T. (2002). Learning: Knowledge acquisition, representation, and organization. J.W. Guthrie et al. (Eds.), The Encyclopedia of Education. New York: Macmillan Reference.

O’Reilly, T., McNamara, D.S., & The Strategies Lab (2002). What’s a science student to do? In W.D. Gray & C.D. Schunn (Eds.), Proceedings of the Twenty-fourth Annual Conference of the Cognitive Science Society (pp. 726-731). Mawah, NJ: Erlbaum.

Graesser, A.C., McNamara, D.S., & Louwerse, M.M (2003). What do readers need to learn in order to process coherence relations in narrative and expository text. In A.P. Sweet and C.E. Snow (Eds.), Rethinking reading comprehension. New York: Guilford Publications.

Kurby, C.A., Wiemer-Hastings, K., Ganduri, N., Magliano, J.P., Millis, K.K., & McNamara, D.S. (2003). Computerizing reading training: Evaluation of a latent semantic analysis space for science text. Behavior Research Methods, Instruments, & Computers, 35, 244-250.

Levinstein, I.B., McNamara, D.S., Boonthum, C., Pillarisetti, S.P., Yadavalli, K. (2003). Web-based intervention for higher-order reading skills. In D. Lassner & C. McNaught (Eds.), Proceedings of ED-MEDIA 2003: World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 835-841).

McNamara, D.S., Best, R., & Castellano, C. (2003). Learning from text: Facilitating and enhancing comprehension. www.speechpathology.com. [

Best, R., Dockrell, J.E., & McNamara, D.S. (2004). Children’s semantic representation of a science term. In K. Forbus, D. Gentner, & T. Regier (Eds.), Proceedings of the 26th Annual Cognitive Science Society(pp. 1525). Mahwah, NJ: Erlbaum.

Best, R., Ozuru, Y., & McNamara, D.S. (2004). Self-explaining science texts: Strategies, knowledge, and reading skill. In Y. B. Kafai, W. A. Sandoval, N. Enyedy, A. S. Nixon, & F. Herrera (Eds.), Proceedings of the Sixth International Conference of the Learning Sciences: Embracing Diversity in the Learning Sciences (pp. 89-96). Mahwah, NJ: Erlbaum. [

McNamara, D.S. (2004). Aprender del texto: efectos de la estructura textual y las estrategias del lector. Revista Signos, 37, 19-30.

McNamara, D.S. (2004). SERT: Self-explanation reading training. Discourse Processes, 38, 1-30. [LINK]

McNamara, D.S., Floyd, R.G., Best, R., & Louwerse, M. (2004). World knowledge driving young readers’ comprehension difficulties. In Y. B. Kafai, W. A., Sandoval, N. Enyedy, A. S. Nixon & F. Herrera (Eds.),Proceedings of the Sixth International Conference of the Learning Sciences: Embracing Diversity in the Learning Sciences (pp. 326-333). Mahwah, NJ: Erlbaum.

McNamara, D.S., Levinstein, I.B., & Boonthum, C. (2004). iSTART: Interactive strategy trainer for active reading and thinking.Behavioral Research Methods, Instruments, & Computers, 36, 222-233.

McNamara, D.S., & McDaniel, M.A. (2004). Suppressing irrelevant information: Knowledge activation or inhibition? Journal of Experimental Psychology: Learning, Memory, & Cognition, 30, 465-482.

O’Reilly, T., Best, R., & McNamara, D.S. (2004). Self-explanation reading training: Effects for low-knowledge readers. In K. Forbus, D. Gentner, & T. Regier (Eds.), Proceedings of the 26th Annual Cognitive Science Society (pp. 1053-1058). Mahwah, NJ: Erlbaum.

O’Reilly, T., Sinclair, G.P., & McNamara, D.S. (2004a). iSTART: A web-based reading strategy intervention that improves students’ science comprehension. In Kinshuk, D. G. Sampson, & P. Isaías (Eds.), Proceedings of the IADIS International Conference Cognition and Exploratory Learning in Digital Age: CELDA 2004 (pp. 173-180). Lisbon, Portugal: IADIS Press.

O’Reilly, T.P., Sinclair, G.P., & McNamara, D.S. (2004b). Reading strategy training: Automated versus live. In K. Forbus, D. Gentner & T. Regier (Eds.), Proceedings of the 26th Annual Cognitive Science Society (pp. 1059-1064). Mahwah, NJ: Erlbaum.

Ozuru, Y., Best, R., & McNamara, D.S. (2004). Contribution of reading skill to learning from expository texts. In K. Forbus, D. Gentner & T. Regier (Eds.), Proceedings of the 26th Annual Cognitive Science Society (pp. 1071-1076). Mahwah, NJ: Erlbaum.

Todaro, S.A., Magliano, J.P., Millis, K.K., McNamara, D.S., & Kurby, C.C. (2004). Intra-clause constraints in think-aloud protocols. In K. Forbus, D. Gentner & T. Regier (Eds.), Proceedings of the 26th Annual Cognitive Science Society (pp. 1642). Mahwah, NJ: Erlbaum.

Best, R.M., Rowe, M., Ozuru, Y., & McNamara, D.S. (2005). Deep-level comprehension of science texts: The role of the reader and the text. Topics in Language Disorders, 25, 65-83.

Graesser, A.C., McNamara, D.S., & VanLehn, K. (2005). Scaffolding deep comprehension strategies through Point&Query, AutoTutor, and iSTART. Educational Psychologist, 40, 225-234.

Magliano, J.P., Todaro, S. Millis, K., Wiemer-Hastings, K., Kim, H.J., & McNamara, D.S. (2005). Changes in reading strategies as a function of reading training: A comparison of live and computerized training. Journal of Educational Computing Research, 32, 185-208.

McNamara, D.S., & Shapiro, A.M. (2005). Multimedia and hypermedia solutions for promoting metacognitive engagement, coherence, and learning. Journal of Educational Computing Research, 33, 1-29.

Ozuru, Y., Dempsey, K., Sayroo, J., & McNamara, D.S. (2005). Effect of text cohesion on comprehension of biology texts. In B. G. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society (pp. 1696-1701). Mahwah, NJ: Erlbaum.

Best, R., Ozuru, Y., Floyd., R., & McNamara, D.S. (2006). Children’s text comprehension. Effects of genre, knowledge, and text cohesion. In S. A. Barab, K. E. Hay, D. T. Hickey (Eds.), Proceedings of the Seventh International Conference of the Learning Sciences (pp. 37-42). Mahwah, NJ: Erlbaum.

Louwerse, M.M., Graesser, A.C., McNamara, D.S., Jeuniaux, P., & Yang, F. (2006). Coherence is also in the eye of the beholder. In Silva, M. & Cox, A. (Eds), Proceedings of the Cognitive Science Workshop “What have eye movements told us so far, and what is next?” London, University College London.

Louwerse, M.M., McNamara, D.S., Graesser, A.C., Lewis, G. & Zirnstein, M. (2006). An eye for an eye, and for other modalities. In Silva, M. & Cox, A. (Eds.), Proceedings of the Cognitive Science Workshop “What have eye movements told us so far, and what is next?” London, University College London. [

McNamara, D.S., O’Reilly, T., Best, R., & Ozuru, Y. (2006). Improving adolescent students’ reading comprehension with iSTART. Journal of Educational Computing Research, 34, 147-171.

Muñoz, B., Magliano, J.P., Sheridan, R., & McNamara, D.S. (2006). Typing versus thinking aloud when reading: Implications for computer-based assessment and training tools. Behavior Research Methods, Instruments, & Computers, 38, 211-217.

O’Reilly, T., Taylor, R.S., & McNamara, D.S. (2006). Classroom based reading strategy training: Self-explanation vs. reading control. In R. Sun & N. Miyake (Eds.), Proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 1887). Mahwah, NJ: Erlbaum.

Rowe, M., Ozuru, Y., & McNamara, D.S. (2006). An analysis of a standardized reading ability test: what do questions actually measure? In S.A. Barab, K.E. Hay, D. T. Hickey (Eds.), Proceedings of the Seventh International Conference of the Learning Sciences (p. 627-633). Mahwah, NJ: Erlbaum.

Taylor, R.S., O’Reilly, T., Rowe, M., & McNamara, D.S. (2006). Improving understanding of science texts: iSTART strategy training vs. web design control task. In R. Sun & N. Miyake (Eds.), Proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 2234-2239). Mahwah, NJ: Erlbaum.

Taylor, R., O’Reilly, T., Sinclair, G., & McNamara, D.S. (2006). Enhancing learning of expository science texts in a remedial reading classroom via iSTART. Proceedings of the 7th International Conference of Learning Sciences (pp. 765-770), Bloomington, Indiana.

Bell, C., & McNamara, D.S. (2007). Integrating iSTART into a high school curriculum. Proceedings of the 29th Annual Meeting of the Cognitive Science Society(pp. 809-814). Austin, TX: Cognitive Science Society.

Bellissens, C., Jeuniaux, P., Duran, N., & McNamara, D. (2007). Towards a textual cohesion model that predicts self-explanations inference generation as a function of text structure and readers’ knowledge levels. Proceedings of the 29th Annual Meeting of the Cognitive Science Society(pp. 233-238). Austin, TX: Cognitive Science Society. [

Boonthum, C., Levinstein, I., & McNamara, D.S. (2007). Evaluating self-explanations in iSTART: Word matching, latent semantic analysis, and topic models. In A. Kao & S. Poteet (Eds.), Natural Language Processing and Text Mining (pp. 91-106). London: Springer-Verlag UK.

Briner, S., Kurby, C., McNamara, D.S. (2007). Individual differences and the impact of forward and backward causal relations on the online processing of narratives. Proceedings of the 29th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Dempsey, K.B., McCarthy, P.M., & McNamara, D.S. (2007). Using phrasal verbs as an index to distinguish text genres. In D. Wilson and G. Sutcliffe (Eds.), Proceedings of the twentieth International Florida Artificial Intelligence Research Society Conference (pp. 217-222). Menlo Park, California: The AAAI Press.

Duran, N., Bellissens, C., Taylor, R., & McNamara, D. (2007). Qualifying text difficulty with automated indices of cohesion and semantics. In D.S. McNamara and G. Trafton (Eds.), Proceedings of the 29th Annual Meeting of the Cognitive Science Society(pp. 233-238). Austin, TX: Cognitive Science Society.

Duran, N.D., McCarthy, P.M., Graesser, A.C., & McNamara, D.S. (2007). Using temporal cohesion to predict temporal coherence in narrative and expository texts. Behavior Research Methods, 39, 212-223.

Graesser, A., Louwerse, M., McNamara, D.S., Olney, A., Cai, Z., & Mitchell, H. (2007) Inference generation and cohesion in the construction of situation models: Some connections with computational linguistics. In F. Schmalhofer & C.A. Perfetti (Eds.), Higher level language processes in the brain: Inference and comprehension processes (pp. 289-310). Mahwah, NJ: Erlbaum.

Graesser, A. C., McNamara, D. S., & Rus, V. (2007). Computational modeling of discourse and conversation. In M. Spivey, M. Joanisse, & K. McRae (Eds.), Cambridge handbook of psycholinguistics (pp.). Cambridge, UK: Cambridge University Press.

Kurby, C.A., Ozuru, Y., & McNamara, D.S. (2007). Individual differences in comprehension monitoring ability during reading. In D.S. McNamara and G. Trafton (Eds.), Proceedings of the 29th Annual Conference of the Cognitive Science Society(pp. 413-418). Austin, TX: Cognitive Science Society.

Levinstein, I.B., Boonthum, C., Pillarisetti, S.P., Bell, C., & McNamara, D.S. (2007). iSTART 2: Improvements for efficiency and effectiveness. Behavior Research Methods, 39, 224-232.

Magliano, J. P., Millis, K. K., Ozuru, Y., & McNamara, D.S. (2007). A multidimensional framework to evaluate reading assessment tools. In D.S. McNamara (Ed.), Reading comprehension strategies: Theories, interventions, and technologies (pp. 107-136). Mahwah, NJ: Erlbaum.

McCarthy, P.M., & McNamara, D.S. (2007). Are seven words all we need? Recognizing genre at the sub-sentential level. In D.S. McNamara and G. Trafton (Eds.), Proceedings of the 29th annual conference of the Cognitive Science Society(pp. 1295-1300). Austin, TX: Cognitive Science Society.

McNamara, D.S., de Vega, M., & O’Reilly, T. (2007). Comprehension skill, inference making, and the role of knowledge. In F. Schmalhofer & C.A. Perfetti (Eds.), Higher level language processes in the brain: Inference and comprehension processes (pp. 233-251). Mahwah, NJ: Erlbaum.

McNamara, D.S., O’Reilly, T., Rowe, M., Boonthum, C., & Levinstein, I.B. (2007). iSTART: A web-based tutor that teaches self-explanation and metacognitive reading strategies. In D.S. McNamara (Ed.), Reading comprehension strategies: Theories, interventions, and technologies (pp. 397-420). Mahwah, NJ: Erlbaum.

McNamara, D. S., Ozuru, Y., Best, R., & O’Reilly, T. (2007). The 4-pronged comprehension strategy framework. In D.S. McNamara (Ed.), Reading comprehension strategies: Theories, interventions, and technologies (pp. 465-496). Mahwah, NJ: Erlbaum.

Millis, K., Magliano, J., Wiemer-Hastings, K., Todaro, S., & McNamara, D.S. (2007). Assessing and improving comprehension with Latent Semantic Analysis. In T. Landauer, D.S. McNamara, S. Dennis, & W. Kintsch (Eds.), Handbook of Latent Semantic Analysis (pp. 207-225). Mahwah, NJ: Erlbaum.

O’Reilly, T., & McNamara, D.S. (2007). Reversing the reverse cohesion effect: good texts can be better for strategic, high-knowledge readers. Discourse Processes, 43, 121-152. [LINK]

O’Reilly, T., & McNamara, D.S. (2007). The impact of science knowledge, reading skill, and reading strategy knowledge on more traditional “High-Stakes” measures of high school students’ science achievement. American Educational Research Journal, 44, 161-196.

Ozuru, Y., Best, R., Bell, C., Witherspoon, A., & McNamara, D.S. (2007). Influence of question format and text availability on assessment of expository text comprehension. Cognition & Instruction, 25, 399-438.

Rus, V., McCarthy, P.M., Lintean, M.C., Graesser, A.C., & McNamara, D.S. (2007). Assessing student self-explanations in an Intelligent Tutoring System. In D.S. McNamara & G. Trafton (Eds.), Proceedings of the 29th annual conference of the Cognitive Science Society (pp. 623-628). Austin, TX: Cognitive Science Society.

VanderVeen, A., Huff, K., Gierl, M., McNamara, D.S., Louwerse, M., & Graesser, A.C. (2007). Developing and validating instructionally relevant reading competency profiles measured by the critical reading sections of the SAT. In D.S. McNamara (Ed.), Reading comprehension strategies: Theories, interventions, and technologies (pp. 137-172). Mahwah, NJ: Erlbaum.

Best, R.M., Floyd, R.G., & McNamara, D.S. (2008). Differential competencies contributing to children’s comprehension of narrative and expository texts. Reading Psychology, 29, 137-164.

Boonthum-Denecke, C., Levinstein, I.B., McNamara, D.S., Magliano, J.P., & Millis, K.K. (2008). NLP techniques for intelligent tutoring systems. In J. Rabuñal, J. Dorado & A. Pazos (Eds), Encyclopedia of Artificial Intelligence (pp. 1253-1258). Hershey, PA: Idea Group, Inc.

Graesser, A.C., Jeon, M., Cai, Z., & McNamara, D.S. (2008). Automatic analyses of language, discourse, and situation models. In W. van Peer & J. Auracher (Eds.), New Beginnings for Study of Literature. New Castle: Cambridge Scholars Publications.

McCarthy, P.M., Briner, S.W., Myers, J.C., Graesser, A.C., & McNamara, D.S. (2008). Are three words all we need? Recognizing genre at the sub-sentential level. In. V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th annual conference of the Cognitive Science Society (pp. 613-618). Washington, D.C.: Cognitive Science Society.

Ozuru, Y., Rowe, M., O’Reilly, T., & McNamara, D.S. (2008). Where’s the difficulty in standardized reading tests: The passage or the question? Behavior Research Methods. 40, 1001-1015. 

Rowe, M., & McNamara, D.S. (2008). Inhibition needs no negativity: Negativity links in the construction-integration model. In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th annual conference of the Cognitive Science Society (pp. 1777-1782). Washington, DC: Cognitive Science Society.

Todaro, S., Magliano, J. P., Millis, K., McNamara, D. S., & Kurby, C. (2008). Assessing the structure of verbal protocols. In V. Sloutsky, B. Love, & K.McRae (Eds.), Proceedings of the 30th annual conference of the Cognitive Science Society (pp.607-612). Washington, DC: Cognitive Science Society.

Jackson, G.T., Guess, R.H., & McNamara, D.S. (2009). Assessing cognitively complex strategy use in an untrained domain. In N.A. Taatgen, H. van Rijn, L. Schomaker, & J. Nerbonne (Eds.), Proceedings of the 31st Annual Meeting of the Cognitive Science Society (pp. 2164-2169). Amsterdam, The Netherlands: Cognitive Science Society. [paper awarded the Cognition and Student Learning Prize and subsequently published in Topics journal, 2010].

McCarthy, P.M., Myers, J.C., Briner, S.W., Graesser, A.C., & McNamara, D.S. (2009). Are three words all we need? A psychological and computational study of sub-sentential genre recognition. Journal for Language Technology and Computational Linguistics, 24, 23-55.

McNamara, D.S. (2009). The importance of teaching reading strategies. Perspectives on Language and Literacy, 35, 34-40. [To be republished in Joshi, M. & Moats, L. (Eds.). (2011). Expert perspectives on intervention with reading disabilities: An anthology from publications of the international dylexia association.]

McNamara, D.S., & Magliano, J.P. (2009). Self-explanation and metacognition: The dynamics of reading. In J.D. Hacker, J. Dunlosky, & A.C. Graesser (Eds.), Handbook of Metacognition in Education (pp. 60-81). Mahwah, NJ: Erlbaum.

McNamara, D.S. & Magliano, J.P. (2009). Towards a comprehensive model of comprehension. In B. Ross (Ed.), The psychology of learning and motivation. New York, NY: Elsevier Science.

McNamara, D.S., & O’Reilly, T. (2009). Theories of comprehension skill: Knowledge and strategies versus capacity and suppression. In A. M. Columbus (Ed.), Advances in Psychology Research, 62, (pp.). Hauppauge, NY: Nova Science Publishers, Inc.

Ozuru, Y., Dempsey, K., & McNamara, D.S. (2009). Prior knowledge, reading skill, and text cohesion in the comprehension of science texts. Learning and Instruction, 19, 228-242.

Jackson, G.T., Guess, R.H., & McNamara, D.S. (2010). Assessing cognitively complex strategy use in an untrained domain. Topics in Cognitive Science, 2, 127-137.

McNamara, D.S. (2010). Strategies to read and learn: Overcoming learning by consumption. Medical Education, 44, 340-346.

McNamara, D.S., Jackson, G.T., & Graesser, A.C. (2010). Intelligent tutoring and games (ITaG). In Y.K. Baek (Ed.), Gaming for classroom-based learning: Digital role-playing as a motivator of study (pp. 44-65). Hershey, PA: IGI Global.

Moss, J., Schunn, C.D., Schneider, W., McNamara, D.S., & VanLehn, K. (2010). An fMRI study of strategic reading comprehension. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 1319-1324). Austin, TX: Cognitive Science Society.

Ozuru, Y., Briner, S., Best, R., & McNamara, D.S. (2010). Contributions of self-explanation to comprehension of high and low cohesion texts. Discourse Processes, 47, 641-667. [LINK]

Boonthum, C., McCarthy, P.M., Lamkin, T., Jackson, G.T., Magliano, J., & McNamara, D.S. (2011). Automatic natural language processing and the detection of reading skills and reading comprehension. In R. C. Murray & P. M. McCarthy (Eds.), Proceedings of the 24th International Florida Artificial Intelligence Research Society (FLAIRS) Conference (pp. 234-239). Menlo Park, CA: AAAI Press.

Crossley, S.A., Allen, D., & McNamara, D.S. (2011). Text readability and intuitive simplification: A comparison of readability formulas. Reading in a Foreign Language, 23, 84-102.

Graesser, A.C. & McNamara, D.S. (2011). Computational analyses of multilevel discourse comprehension. Topics in Cognitive Science, 2, 371-398.

Graesser, A.C., McNamara, D.S., & Kulikowich, J.M. (2011). Coh Metrix: Providing multilevel analyses of text characteristics. Educational Researcher, 40, 223-234.

He, X. Y., Yang, H., Li, H. J., Wei, Y. B., & McNamara, D. S. (2011). Updating the spatial situation model: EFfects of cognitive style. Acta Psychologica Sinica, 43, 1247-1262.

Jackson, G. T., Davis, N. L., Graesser, A. C., & McNamara, D. S. (2011). Students’ enjoyment of a game-based tutoring system. In G. Biswas, S. Bull, J. Kay, & A. Mitrovic (Eds.), Proceedings of the 15th International Conference on Artificial Intelligence in Education (pp. 475-477). Auckland, New Zealand, AIED.

McNamara, D. S. (2011). Measuring deep, reflective comprehension and learning strategies: Challenges and successes. Megacognition and Learning, 3, 1-11.

McNamara, D. S., & Dempsey, K. (2011). Reader expectations of question formats and difficulty: Targeting the zone. In M. McCrudden, J. Magliano, & G. Schraw (Eds.), Text relevance and learning from text. Charlotte, NC: Information Age Publishing, Inc.

McNamara, D. S., & Kendeou, P. (2011). Translating advances in reading comprehension research to educational practice. International Electronic Journal of Elementary Education, 4, 33-46. [PDF]

McNamara, D. S., Ozuru, Y., & Floyd, R. G. (2011). Comprehension challenges in the fourth grade: The roles of text cohesion, text genre, and readers’ prior knowledge. International Electronic Journal of Elementary Education, 4, 229-257. [PDF]

Moss, J., Schunn, C.D., Schneider, W., & McNamara, D.S. (2011). An fMRI study of zoning out during strategic reading comprehension. In L. Carlson, C. Hoelscher, & T.F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 1218-1223). Austin, TX: Cognitive Science Society.

Moss, J., Schunn, C. D., Schneider, W., McNamara, D. S., & VanLehn, K. (2011). The neural correlates of strategic reading comprehension: Cognitive control and discourse comprehension. NeuroImage, 58, 675-686.

Crossley, S.A., Allen, D., & McNamara, D.S. (2012). Text simplification and comprehensive input: A case for intuitive approach. Language Teaching and Research, 16, 89-108.

Kurby, C. A., Magliano, J. P., Dandotkar, S., Woehrle, J., Gilliam, S., & McNamara, D. S. (2012). Changing how students process and comprehend texts with computer-based self-explanation training. Journal of Educational Computing Research, 47, 429-459.

McNamara, D.S., Graesser, A.C., & Louwerse, M.M. (2012). Sources of text difficulty: Across genres and grades. In J.P. Sabatini, E. Albro, & T. O’Reilly (Eds.), Measuring up: Advances in how we assess reading ability (pp. 89-116). Lanham, MD: R&L Education.

McNamara, D. S., Jackson, G. T., Boonthum, C., Deng, Y., & Xiangyou, H. (2012). iSTART-ME: A natural language game-enhanced comprehension strategy tutor. Journal of South China Normal University, 6.

Ozuru, Y., Kurby, C. A., & McNamara, D. S. (2012). The effect of judgment task on metacomprehension judgments and its accuracy. Metacognition and Learning, 7, 113-131.

Jackson, G. T., Snow, E. L., Varner (Allen), L. K., & McNamara, D. S. (2013). Game performance as a measure of comprehension and skill transfer. In C. Boonthum-Denecke & G. M. Youngblood (Eds.),Proceedings of the 26th Annual Flordia Artificial Intelligence Research Society (FLAIRS) Conference (pp. 497-502). Menlo Park, CA: The AAAI Press.

Jackson, G. T., Varner (Allen), L. K., Boonthum-Denecke, C., & McNamara, D. S. (2013). The impact of individual differences on learning with an educational game and a traditional ITS. International Journal of Learning Technology, 8, 315-336.

McNamara, D. S. (2013). The epistemic stance between the author and reader: A driving force in the cohesion of text and writing. Discourse Studies, 15, 575-592.

Moss, J., Schunn, C. D., Schneider, W., & McNamara, D. S. (2013). The nature of mind wandering during reading varies with the cognitive control demands of the reading strategy. Brain Research, 1539, 48-60.

Ozuru, Y., Briner, S., Kurby, C. A., & McNamara, D. S. (2013). Comparing text comprehension measured by multiple-choice and open-ended questions. Canadian Journal of Experimental Psychology, 67, 215-227.

Varner (Allen), L. K., Jackson, G. T., Snow, E. L., & McNamara, D. S. (2013). Are you committed? Investigating interactions among reading commitment, natural language input, and students’ learning outcomes. In S. K. D’Mello, R. A. Calvo, & A. Olney (Eds.), Proceedings of the 6th International Conference on Educational Data Mining (pp. 368-369). Heidelberg, Berlin, Germany: Springer.

Varner (Allen), L. K., Jackson, G. T., Snow, E. L., & McNamara, D. S. (2013). Does size matter? Investigating user input at a larger bandwidth. In C. Boonthum-Denecke & G. M. Youngblood (Eds.),Proceedings of the 26th International Flordia Artificial Intelligence Research Society (FLAIRS) Conference (pp. 546-549). Menlo Park, CA: AAAI Press.

Varner (Allen), L. K., Jackson, G. T., Snow, E. L., & McNamara, D. S. (2013). Linguistic content analysis as a tool for improving adaptive instruction. In K. Yacef et al. (Eds.), Proceedings of the 16th International Conference on Artificial Intelligence in Education (AIED), (pp. 692-695). Heidelberg, Berlin: Springer.

Allen, L. K., Snow, E. L., Crossley, S. A., Jackson, G. T., & McNamara, D. S. (2014). Reading comprehension components and their relation to the writing process. L’année psychologique/Topics in Cognitive Psychology, 114, 663-691.

Allen, L. K., Snow, E. L., & McNamara, D. S. (2014). Now we’re talking: Leveraging the power of natural language processing to inform ITS development. In J. Stamper, Z. Pardos, M. Mavrikis, & B. M. McLaren (Eds.), Proceedings of the 7th International Conference on Educational Data Mining (pp. 401-402). London, UK: International Data Educational Data Mining Society.

Crossley, S. A., Sung, H., & McNamara, D. S. (2014). What’s so simple about simplified texts? A computational and psycholinguistic investigation of text comprehension and text processing. Reading in a Foreign Language, 26, 92-113.

McNamara, D. S. & Schober, M. F. (Eds.). (2014). Society for Text and Discourse Annual Meeting 2013: Introduction to the Special Issue [Special issue]. Discourse Processes, 51(5-6), 357-358. https://doi.org/10.1080/0163853X.2014.915378 [PDF]

Allen, L. K., McNamara, D. S., & McCrudden, M. T. (2015). Change your mind: Investigating the effects of self-explanation in the resolution of misconceptions. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. Maglio, (Eds.), Proceedings of the 37th Annual Meeting of the Cognitive Science Society (Cog Sci 2015), (pp. 78-83). Pasadena, CA: Cognitive Science Society.

Dascalu, M., Stavarache, L.L., Dessus, P., Trausan-Matu, S., McNamara, D.S., & Bianco, M. (2015). Predicting comprehension from students’ summaries. In A. Mitrovic, F. Verdejo, C. Conati, & N. Heffernan (Eds.), Proceedings of the 17th International Conference on Artificial Intelligence in Education (AIED 2015), (pp. 95–104). Madrid, Spain: Springer.

Dascalu, M., Stavarache, L.L., Dessus, P., Trausan-Matu, S., McNamara, D.S., & Bianco, M. (2015). ReaderBench: The learning companion. In A. Mitrovic, F. Verdejo, C. Conati, & N. Heffernan (Eds.), Proceedings of the 17th International Conference on Artificial Intelligence in Education (AIED 2015), (pp. 915–916). Madrid, Spain: Springer.

Dascalu, M., Stavarache, L. L., Trausan-Matu, S., Dessus, P., Bianco, M., & McNamara, D.S. (2015). ReaderBench: An integrated tool supporting both individual and collaborative learning. In J. Baron, G. Lynch, N. Maziarz, P. Blikstein, A. Merceron, & G. Siemens (Eds.), Proceedings of the 5th International Learning Analytics & Knowledge Conference (LAK’15; Tool Demonstration), (pp. 436-437). Poughkeepsie, NY: ACM.

Dascalu, M., Stavarache, L. L., Dessus, P., Trausan-Matu, S., McNamara, D. S., & Maryse, B. (2015). ReaderBench: An integrated cohesion-centered framework. In C. Rensing, T. Klobucar, & G. Conole (Eds.), Proceedings of the 10th European Conference on Technology Enhanced Learning (ECTEL), (pp. 505-508). Toledo, Spain: Springer.

Dascalu, M., Trausan-Matu, S., McNamara, D. S., & Dessus, P. (2015). ReaderBench – Automated evaluation of collaboration based on cohesion and dialogism. International Journal of Computer-Supported Collaborative Learning, 10(4), 395-423.

Higgs, K., Magliano, J. P., Vidal-Abarca, E., Martínez, T., & McNamara D. S. (2015). Bridging skill and task-oriented reading. Discourse Processes. 

Jung, Y., Crossley, S. A., & McNamara, D. S. (2015). Linguistic features in MELAB writing task performances. CaMLA Working Papers, No 2015-5, 1-17. Retrieved from Cambridge Michigan Language Assessments website: http://www.cambridgemichigan.org/wp-content/uploads/2015/04/CWP-2015-05.pdf.

McNamara, D. S. (2015). Self-Explanation and Reading Strategy Training (SERT) Improves low-knowledge students’ science course performance. Discourse Processes. [LINK]

McNamara, D. S., Jacovina, M. E., & Allen, L. K. (2015). Higher order thinking in comprehension. In P. Afflerbach (Ed.), Handbook of individual differences in reading: Text and context, (pp. 164-176). Taylor & Francis, Routledge: NY.

McNamara, D. S., Jacovina, M. E., Snow, E. L., & Allen, L. K. (2015). From generating in the lab to tutoring systems in classrooms. American Journal of Psychology, 128(2), 159-172.

McNamara, D. S. & Schober, M. F. (Eds.). (2015). 2014 Society for Text and Discourse Annual Meeting: Introduction to the Special Issue [Special issue]. Discourse Processes, 52(5-6), 335-336. https://doi.org/10.1080/0163853X.2015.1045802 [PDF]

Roscoe, R. D., Jacovina, M. E., Harry, D., Russell, D. G., & McNamara, D. S. (2015). Partial verbal redundancy in multimedia presentations for writing strategy instruction. Applied Cognitive Psychology, 29, 669–679. doi: 10.1002/acp.3149

San Pedro, M. O., Snow, E. L., McNamara, D. S., Baker. R. S., & Heffernan, N. (2015) Exploring dynamical assessments of affect, behavior, and cognition and math state test achievement. In O. C. Santos, J. G. Boticario, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, J. M. Luna, C. Mihaescu, P. Moreno, A. Hershkovitz, S. Ventura, & M. Desmarais (Eds.), Proceedings of the 8th International Conference on Educational Data Mining (EDM 2015), (pp. 85-92). Madrid, Spain.

Soto, C. M., McNamara, D. S., Jacovina, M. E., Snow, E. L., Dai, J., Allen, L. K., Perret, C. A., Johnson, A. M., & Russell, D. G. (2015). iSTART-E: Desarrollando un tutor inteligente para la comprensión lectora de estudiantes de habla hispana. In M. García (Ed.), Proceedings of the 15th Annual Colloquium on Peninsular and Spanish American Literature, Linguistics and Culture. Orlando, FL.

Sullins, J., McNamara, D. S., Acuff, S., Neely, D., Hildebrand, E., Stewart, G., & Hu, X. (2015). Are you asking the right questions: The use of animated agents to teach learners to become better question askers. In C. Boonthum-Denecke, I. Russell, & W. Eberle (Eds.), Proceedings of the 28th International Florida Artificial Intelligence Research Society (FLAIRS) Conference (pp. 479-481). Hollywood, FL: AAAI Press.

Allen, L. K., Jacovina, M. E., & McNamara, D. S. (2016). Cohesive features of deep text comprehension processes. In J. Trueswell, A. Papafragou, D. Grodner, & D. Mirman (Eds.), Proceedings of the 38th Annual Meeting of the Cognitive Science Society in Philadelphia, PA, (pp. 2681-2686). Austin, TX: Cognitive Science Society.

Crossley, S. A., Allen, L. K., & McNamara, D. S. (2016). The Writing Pal: A writing strategy tutor. In S. A. Crossley & D. S. McNamara (Eds.) Adaptive educational technologies for literacy instruction (pp. 204-224). New York: Taylor & Francis, Routledge.

Crossley, S. A., Kyle, K., & McNamara, D. S. (2016). The development and use of cohesive devices in L2 writing and their relations to judgments of essay quality. The Journal of Second Language Writing, 32, 1-16.

Crossley, S. A., Kyle, K., & McNamara, D. S. (2016). The Tool for the Automatic Analysis of Text Cohesion (TAACO): Automatic assessment of local, global, and text cohesion. Behavior Research Methods, 48(4), 1227-1237.

Crossley, S. A. & McNamara, D. S. (2016). Educational technologies and literacy development. In S. A. Crossley & D. S. McNamara (Eds.) Adaptive educational technologies for literacy instruction (pp. 1-12). New York: Taylor & Francis, Routledge.

Crossley, S. A., & McNamara, D. S. (2016). Say more and be more coherent: How elaboration and cohesion can increase writing quality. The Journal of Writing Research, 7(3), 351-370.

Crossley, S. A., & McNamara, D. S. (2016). Text-based recall and extra-textual generations resulting from simplified and authentic texts. Reading in a Foreign Language, 28(1),1-19.

Crossley, S. A., Muldner, K., & McNamara, D. S. (2016). Idea generation in student writing: Computer assessments and links to successful writing. Written Communication, 1-27.

Dascalu, M., McNamara, D. S., Crossley, S. A., & Trausan-Matu, S. (2016). Age of exposure: A model of word learning. In S. Zilberstein, D. Schuurmans, & M. Wellman (Eds.), Proceedings of the 30th Annual Meeting of the Association for the Advancement of Artificial Intelligence (AAAI’16). Phoenix, AZ: AAAI Press.

Jackson, G. T., Allen, L. K., & McNamara, D. S. (2016). Common Core TERA: Text Ease and Readability Assessor. In D. S. McNamara & S. A. Crossley (Eds.) Adaptive educational technologies for literacy instruction (pp.49-68). New York: Taylor & Francis, Routledge.

Liu, Z., Brown, R., Lynch, C.F., Barnes, T., Baker, R., Bergner, Y., & McNamara, D. S. (2016). MOOC learner behaviors by country and culture; an exploratory analysis. In T. Barnes, M. Chi, & M. Feng (Eds.), Proceedings of the 9th International Conference on Educational Data Mining (EDM 2016), (pp.127-134). Raleigh, NC: International Educational Data Mining Society.

Snow, E. L., Jacovina, M. E., Jackson, G. T., & McNamara, D. S. (2016). iSTART-2: A reading comprehension and strategy instruction tutor. In D.S. McNamara & S. A. Crossley (Eds.) Adaptive educational technologies for literacy instruction (pp.104-121). Taylor & Francis, Routledge: NY.

Snow, E. L., Likens, A. D., Allen, L. K., & McNamara, D. S. (2016). Taking control: Stealth assessment of deterministic behaviors within a game-based system. International Journal of Artificial Intelligence in Education, 26, 1011-1032.

Weston-Sementelli, J. L., Allen, L. K., & McNamara, D. S. (2016). Comprehension and writing strategy training improves performance on content-specific source-based writing tasks. International Journal of Artificial Intelligence in Education, 1-32.

Balyan, R., McCarthy, K. S., & McNamara, D. S. (2017). Combining machine learning and natural language processing to assess literary text comprehension. In X. Hu, T. Barnes, A. Hershkovitz & L. Paquette (Eds.), Proceedings of the 10th International Conference on Educational Data Mining (EDM), . (pp.244-249). Wuhan, China: International Educational Data Mining Society.

Crossley, S. A., Barnes, T., Lynch, C., & McNamara, D. S. (2017). Linking language to math success in blended course. In X. Hu, T. Barnes, A. Hershkovitz, & L. Paquette (Eds.), Proceedings of the 10th International Conference on Educational Data Mining (EDM) (pp. 180-185), Wuhan, China: International Educational Data Mining Society.

Crossley, S. A., Dascalu, M., Baker, M., McNamara, D. S., & Trausan-Matu, S. (2017). Predicting Success in Massive Open Online Courses (MOOC) Using Cohesion Network Analysis. In B. K. Smith, M. Borge, K. Y. Lim, & E. Mercier (Eds.), In Proceedings of the 12th International Conference on Computer-Supported Collaborative Learning (CSCL 2017). (pp. 103-110). Philadelphia, PA: ISLS.

Dascalu, M., Gutu, G., Paraschiv, I., Ruseti, s., Dessus, P., McNamara, D. S., Crossley, S. A., & Trausan-Matu, S. (2017). Cohesion-centered analysis of CSCL environments using ReaderBench. In B. Boulay, R.Baker, & E. Andre (Eds.),18th International Conference on Artificial Intelligence in Education (AIED 2017). (pp. 485–489). Wuhan, China: Springer.

Dascalu, M., McNamara, D. S., Trausan-Matu, S., & Allen, L. K., (2017). Cohesion network analysis of CSCL participation. Behavior Research Methods, 1-16.

Jackson, G. T. & McNamara, D. S. (2017). The motivation and mastery cycle framework: Predicting long-term benefits of educational games. In Y. Baek (Ed.), Game-based learning: Theory, strategies and performance outcomes. (pp. 97 – 122). Nova Science Publishers: New York.

Likens, A. D., Allen, L. K., & McNamara, D. S. (2017). Keystroke dynamics predict essay quality. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Meeting of the Cognitive Science Society (CogSci 2017), (pp.2573-2578). London, UK: Cognitive Science Society.

McCarthy, K. S., Guerrero, Tricia, A. G., Kent, D. K., Allen, L. K., McNamara, D. S., Chao, S., Steinberg, J., O’Reilly, T., Sabatini, J. (2018). Comprehension in a Scenario-Based Assessment: Domain and Topic-Specific Background Knowledge. Discourse Processes, 55(5-6), 510-524. https://doi.org/10.1080/0163853X.2018.1460159 [PDF]

Corlatescu, D., Watanabe, M., Ruseti, S., Dascalu, M., & McNamara, D. S. (2023). The automated model of comprehension version 3.0: Paying attention to context. In N. Wang, G. Rebolledo-Mendez, N. Matsuda, O. C. Santos, & V. Dimitrova (Eds.), Artificial intelligence in education, 24th international conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, proceedings (pp. 229-241). Springer, Cham. [LINK] [PDF]

Nicula, B., Dascalu, M., Arner, T., Balyan, R., McNamara, D. S. (2023). Automated Assessment of Comprehension Strategies from Self-Explanations using LLMs. Information, 14(10). https://doi.org/10.3390/info14100567 [PDF]