The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Learning from texts: Effects of prior knowledge and text coherence
Abstract
Two experiments, theoretically motivated by the construction‐integration model of comprehension (W. Kintsch, 1988), investigated effects of prior knowledge on learning from high‐ and low‐coherence history texts. In Experiment 1, participants’ comprehension was examined through free recall, multiple‐choice questions, and a keyword sorting task. An advantage was found for the high‐coherence text on recall and multiple‐choice questions. However, high‐knowledge readers performed better on the sorting task after reading the low‐coherence text. In Experiment 2, participants’ comprehension was examined through open‐ended questions and the sorting task both immediately and after a 1‐week delay. Little effect of delay was found, and the previous sorting task results failed to replicate. As predicted, high‐knowledge readers performed better on the open‐ended questions after reading the low‐coherence text. Reading times from both experiments indicated that the low‐coherence text requires more inference processes. These inferences are more likely to be successful and useful for high‐knowledge readers.
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Cites
Schmidt, R. A., & Bjork, R. A. (1992) · Psychological Science · doi:10.1111/j.1467-9280.1992.tb00029.x · Cited by 1,582
McNamara, D. S., Kintsch, E., Songer, N. B., & Kintsch, W. (1996) · Cognition and Instruction · doi:10.1207/s1532690xci1401_1 · Cited by 1,341
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Tobias, S. (1994) · Review of Educational Research · doi:10.3102/00346543064001037 · Cited by 713
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Ozuru, Y., Dempsey, K., & McNamara, D. S. (2009) · Learning and Instruction · doi:10.1016/j.learninstruc.2008.04.003 · Cited by 428
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McNamara, D. S., & Scott, J. L. (2001) · Memory & Cognition · doi:10.3758/bf03195736 · Cited by 296
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Pan, S. C., & Rickard, T. C. (2018) · Psychological Bulletin · doi:10.1037/bul0000151 · Cited by 286
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Best, R. M., Floyd, R. G., & Mcnamara, D. S. (2008) · Reading Psychology · doi:10.1080/02702710801963951 · Cited by 281
Self-citationWittwer, J., & Renkl, A. (2008) · Educational Psychologist · doi:10.1080/00461520701756420 · Cited by 277
Nassaji, H. (2002) · Language Learning · doi:10.1111/0023-8333.00189 · Cited by 271
van de Pol, J., Volman, M., Oort, F., & Beishuizen, J. (2015) · Instructional Science · doi:10.1007/s11251-015-9351-z · Cited by 220
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Ozuru, Y., Briner, S., Kurby, C. A., & McNamara, D. S. (2013) · Canadian Journal of Experimental Psychology / Revue canadienne de psychologie expérimentale · doi:10.1037/a0032918 · Cited by 134
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Carretti, B., Borella, E., & De Beni, R. (2007) · Experimental Psychology · doi:10.1027/1618-3169.54.4.311 · Cited by 127
Gurlitt, J., & Renkl, A. (2010) · Instructional Science · doi:10.1007/s11251-008-9090-5 · Cited by 103
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Soemer, A., & Schiefele, U. (2019) · Learning and Instruction · doi:10.1016/j.learninstruc.2018.12.006 · Cited by 102
Ignacio Madrid, R., Van Oostendorp, H., & Puerta Melguizo, M. C. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2008.06.005 · Cited by 99
Hattan, C., Alexander, P. A., & Lupo, S. M. (2024) · Review of Educational Research · doi:10.3102/00346543221148478 · Cited by 90
Endres, T., Lovell, O., Morkunas, D., Rieß, W., & Renkl, A. (2023) · British Journal of Educational Psychology · doi:10.1111/bjep.12563 · Cited by 57
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Medve, V. B., & Takač, V. P. (2013) · Second Language Learning and Teaching · doi:10.1007/978-3-642-35305-5_7 · Cited by 33
Cognition, Memory, and Education
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“McNamara and Kintsch (1996) demonstrated that the comprehension of junior high school students with low prior knowledge benefited from more coherent and thus easier texts, whereas the comprehension of students with higher prior knowledge benefit from less coherent and thus more difficult texts.”
BackgroundKaren Murphy, P., Greene, J. A., Firetto, C. M., M. V. Croninger, R., Duke, R. F., Li, M., & Lobczowski, N. G. (2022) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2022.102099 · Cited by 11
Metadata
- Authors
- McNamara, D. S., & Kintsch, W.
- Venue
- Discourse Processes
- Publisher
- Informa UK Limited
- Published
- 1996-10
- Volume
- 22
- Issue
- 3
- Pages
- 247-288
- ISSN
- 0163-853X (ISSN-L)
- 1532-6950
- OpenAlex
- W2028131103
- Cited by
- 745
- References
- 3
- FWCI
- 10.41
- Type
- journal article
- Language
- en
- Open access
- closed
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