The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Generative Processes of Comprehension
Abstract
This article presents a model of the generative processes of reading comprehension. The article begins with a discussion of the four parts of the model: generation, motivation, attention, and memory. The discussion then reviews laboratory and classroom research relevant to the model. A series of experiments by the author and his colleagues are presented to support the instructional utility of the model. The article concludes with a discussion of the model and its relation to the teaching of reading comprehension in schools.
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Citations
Cites
Training impulsive children to talk to themselves: A means of developing self-control.
Meichenbaum, D. H., & Goodman, J. (1971) · Journal of Abnormal Psychology · doi:10.1037/h0030773 · Cited by 1,346
Learning as a generative process 1
Wittrock, M. C. (1974) · Educational Psychologist · doi:10.1080/00461527409529129 · Cited by 834
Self-citationA Generative Model of Mathematics Learning
Wittrock, M. C. (1974) · Journal for Research in Mathematics Education · doi:10.2307/748845 · Cited by 59
Self-citation
Cited by
Mayer, R. E. (2009) · doi:10.1017/cbo9780511811678 · Cited by 7,800
Mayer, R. (2020) · doi:10.1017/9781316941355 · Cited by 7,777
Nine Ways to Reduce Cognitive Load in Multimedia Learning
Mayer, R. E., & Moreno, R. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_6 · Cited by 4,207
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013) · Psychological Science in the Public Interest · doi:10.1177/1529100612453266 · Cited by 3,138
Cognitive Theory of Multimedia Learning
Mayer, R. E. (2014) · The Cambridge Handbook of Multimedia Learning · doi:10.1017/cbo9781139547369.005 · Cited by 1,976
Effects of problem-based learning: a meta-analysis
Dochy, F., Segers, M., Van den Bossche, P., & Gijbels, D. (2003) · Learning and Instruction · doi:10.1016/s0959-4752(02)00025-7 · Cited by 1,713
Cognitive Theory of Multimedia Learning
Mayer, R. E. (2005) · The Cambridge Handbook of Multimedia Learning · doi:10.1017/cbo9780511816819.004 · Cited by 1,602
Multimedia learning: Are we asking the right questions?
Mayer, R. E. (1997) · Educational Psychologist · doi:10.1207/s15326985ep3201_1 · Cited by 1,533
Makransky, G., & Petersen, G. B. (2021) · Educational Psychology Review · doi:10.1007/s10648-020-09586-2 · Cited by 1,438
Mayer, R. E. (2003) · Learning and Instruction · doi:10.1016/s0959-4752(02)00016-6 · Cited by 1,337
From sage on the stage to guide on the side
King, A. (1993) · College Teaching · doi:10.1080/87567555.1993.9926781 · Cited by 1,462
Learning science in immersive virtual reality.
Parong, J., & Mayer, R. E. (2018) · Journal of Educational Psychology · doi:10.1037/edu0000241 · Cited by 1,088
Mayer, R. E., Heiser, J., & Lonn, S. (2001) · Journal of Educational Psychology · doi:10.1037/0022-0663.93.1.187 · Cited by 1,029
Instructional animation versus static pictures: A meta-analysis
Höffler, T. N., & Leutner, D. (2007) · Learning and Instruction · doi:10.1016/j.learninstruc.2007.09.013 · Cited by 992
Direct Measurement of Cognitive Load in Multimedia Learning
Brunken, R., Plass, J. L., & Leutner, D. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_7 · Cited by 896
Chi, M. T. H., Siler, S. A., Jeong, H., Yamauchi, T., & Hausmann, R. G. (2001) · Cognitive Science · doi:10.1207/s15516709cog2504_1 · Cited by 855
Eight Ways to Promote Generative Learning
Fiorella, L., & Mayer, R. E. (2016) · Educational Psychology Review · doi:10.1007/s10648-015-9348-9 · Cited by 832
Aids to computer-based multimedia learning
Mayer, R. E., & Moreno, R. (2002) · Learning and Instruction · doi:10.1016/s0959-4752(01)00018-4 · Cited by 801
Using multimedia for e‐learning
Mayer, R. E. (2017) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12197 · Cited by 747
The Past, Present, and Future of the Cognitive Theory of Multimedia Learning
Mayer, R. E. (2024) · Educational Psychology Review · doi:10.1007/s10648-023-09842-1 · Cited by 576
Constructive activity and learning in collaborative small groups.
Webb, N. M., Troper, J. D., & Fall, R. (1995) · Journal of Educational Psychology · doi:10.1037/0022-0663.87.3.406 · Cited by 474
Signaling as a cognitive guide in multimedia learning.
Mautone, P. D., & Mayer, R. E. (2001) · Journal of Educational Psychology · doi:10.1037/0022-0663.93.2.377 · Cited by 444
The Promise and Practice of Learner-Generated Drawing: Literature Review and Synthesis
Van Meter, P., & Garner, J. (2005) · Educational Psychology Review · doi:10.1007/s10648-005-8136-3 · Cited by 421
Applying learning theories and instructional design models for effective instruction
Khalil, M. K., & Elkhider, I. A. (2016) · Advances in Physiology Education · doi:10.1152/advan.00138.2015 · Cited by 372
Facilitating Elaborative Learning Through Guided Student-Generated Questioning
King, A. (1992) · Educational Psychologist · doi:10.1207/s15326985ep2701_8 · Cited by 359
Generative learning processes of the brain
Wittrock, M. C. (1992) · Educational Psychologist · doi:10.1207/s15326985ep2704_8 · Cited by 343
Self-citationInteractivity in multimedia learning: An integrated model
Domagk, S., Schwartz, R. N., & Plass, J. L. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.003 · Cited by 331
Creating visual explanations improves learning
Bobek, E., & Tversky, B. (2016) · Cognitive Research: Principles and Implications · doi:10.1186/s41235-016-0031-6 · Cited by 298
Contributions of study skills to academic competence.
Gettinger, M., & Seibert, J. K. (2002) · School Psychology Review · doi:10.1080/02796015.2002.12086160 · Cited by 289
Brünken, R., Plass, J. L., & Leutner, D. (2004) · Instructional Science · doi:10.1023/b:truc.0000021812.96911.c5 · Cited by 277
(2016) · Educational Technology & Society · Cited by 279
Promoting effective helping behavior in peer-directed groups
Webb, N. M., & Mastergeorge, A. (2003) · International Journal of Educational Research · doi:10.1016/s0883-0355(03)00074-0 · Cited by 250
Webb, N. M., Franke, M. L., Ing, M., Wong, J., Fernandez, C. H., Shin, N., & Turrou, A. C. (2014) · International Journal of Educational Research · doi:10.1016/j.ijer.2013.02.001 · Cited by 236
Applying multimedia design principles enhances learning in medical education
Issa, N., Schuller, M., Santacaterina, S., Shapiro, M., Wang, E., Mayer, R. E., & DaRosa, D. A. (2011) · Medical Education · doi:10.1111/j.1365-2923.2011.03988.x · Cited by 226
Castro-Alonso, J. C., de Koning, B. B., Fiorella, L., & Paas, F. (2021) · Educational Psychology Review · doi:10.1007/s10648-021-09606-9 · Cited by 278
“According to generative learning theory (Fiorella & Mayer, 2015; Wittrock, 1989), summarizing encourages students to select only the essential information from the lesson and reorganize it using their existing knowledge.”
BackgroundDrawing as a generative activity and drawing as a prognostic activity.
Schwamborn, A., Mayer, R. E., Thillmann, H., Leopold, C., & Leutner, D. (2010) · Journal of Educational Psychology · doi:10.1037/a0019640 · Cited by 173
Drawing Boundary Conditions for Learning by Drawing
Fiorella, L., & Zhang, Q. (2018) · Educational Psychology Review · doi:10.1007/s10648-018-9444-8 · Cited by 161
A meta-analysis of signaling principle in multimedia learning environments
Alpizar, D., Adesope, O. O., & Wong, R. M. (2020) · Educational Technology Research and Development · doi:10.1007/s11423-020-09748-7 · Cited by 157
Making Sense of Generative Learning
Fiorella, L. (2023) · Educational Psychology Review · doi:10.1007/s10648-023-09769-7 · Cited by 135
Schmidgall, S. P., Eitel, A., & Scheiter, K. (2019) · Learning and Instruction · doi:10.1016/j.learninstruc.2018.01.006 · Cited by 92
Amplifying Voice in Organizations
Bain, K., Kreps, T. A., Meikle, N. L., & Tenney, E. R. (2021) · Academy of Management Journal · doi:10.5465/amj.2018.0621 · Cited by 91
Using Descriptive Drawings as a Conceptual Change Strategy in Elementary Science
Edens, K. M., & Potter, E. (2003) · School Science and Mathematics · doi:10.1111/j.1949-8594.2003.tb18230.x · Cited by 76
Promoting thinking, problem‐solving and reasoning during small group discussions
Gillies, R. M. (2011) · Teachers and Teaching · doi:10.1080/13540602.2011.538498 · Cited by 63
Ruhl, K. L., & Suritsky, S. (1995) · Learning Disability Quarterly · doi:10.2307/1511361 · Cited by 61
Individual preparation for collaborative learning: Systematic review and synthesis
Mende, S., Proske, A., & Narciss, S. (2021) · Educational Psychologist · doi:10.1080/00461520.2020.1828086 · Cited by 47
Moreno, R., & Mayer, R. E. (2010) · Cognitive Load Theory · doi:10.1017/cbo9780511844744.010 · Cited by 46
Dyad Composition Effects on Cognitive Elaboration and Student Achievement
Denessen, E., Veenman, S., Dobbelsteen, J., & Van Schilt, J. (2008) · The Journal of Experimental Education · doi:10.3200/jexe.76.4.363-386 · Cited by 37
The Case for Captioned Lectures in Australian Higher Education
Kent, M., Ellis, K., Latter, N., & Peaty, G. (2018) · TechTrends · doi:10.1007/s11528-017-0225-x · Cited by 35
Beyond the “Wow” Factor: Using Generative AI for Increasing Generative Sense-Making
Makransky, G., Shiwalia, B. M., Herlau, T., & Blurton, S. (2025) · Educational Psychology Review · doi:10.1007/s10648-025-10039-x · Cited by 27
Using a general problem-solving strategy to promote transfer.
Youssef-Shalala, A., Ayres, P., Schubert, C., & Sweller, J. (2014) · Journal of Experimental Psychology: Applied · doi:10.1037/xap0000021 · Cited by 25
Swanson, H. L., Moran, A. S., Bocian, K., Lussier, C., & Zheng, X. (2013) · Learning Disability Quarterly · doi:10.1177/0731948712464034 · Cited by 25
Effects of explaining a science lesson to others or to oneself: A cognitive neuroscience approach
Zhu, W., Wang, F., Mayer, R. E., & Liu, T. (2024) · Learning and Instruction · doi:10.1016/j.learninstruc.2024.101897 · Cited by 17
Hou, X., Xiao, B., Liu, H., & Mueller, S. (2026) · arXiv · doi:10.48550/arxiv.2606.05509
“Generative Learning Theory conceptualizes learning as a constructive process in which learners organize information and relate it to prior knowledge to build coherent mental representations (Wittrock 1989).”
Metadata
- Authors
- Wittrock, M. C.
- Venue
- Educational Psychologist
- Publisher
- Informa UK Limited
- Published
- 1989-09
- Volume
- 24
- Issue
- 4
- Pages
- 345-376
- ISSN
- 0046-1520 (ISSN-L)
- 1532-6985
- OpenAlex
- W2089636244
- Cited by
- 940
- References
- 3
- FWCI
- 9.22
- Type
- journal article
- Language
- en
- Open access
- closed
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