The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Cognitive Load and Classroom Teaching: The Double-Edged Sword of Automaticity
Abstract
Research in the development of teacher cognition and teaching performance in K–12 classrooms has identified consistent challenges and patterns of behavior that are congruent with the predictions of dual-process models of cognition. However, cognitive models of information processing are not often used to synthesize these results. This article reviews findings from the research on teaching and teacher education through the lens of a dual-process model and emphasizes the role that cognitive load plays in driving teaching performance. Data reflecting the salience of automaticity and its relationship with cognitive overload are highlighted, and implications for teacher preparation and inservice training strategies are discussed. Specific suggestions for teacher training draw on empirical findings from cognitive approaches to training that emphasize the development of automaticity in teaching skills to minimize extraneous cognitive load and maximize effective performance.
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Citations
Cites
Studies of interference in serial verbal reactions
Stroop, J. R. (1935) · Journal of Experimental Psychology · doi:10.1037/h0054651 · Cited by 18,622
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
Knowledge and teaching: Foundations of the new reform
Shulman, L. (1987) · Harvard Educational Review · doi:10.17763/haer.57.1.j463w79r56455411 · Cited by 16,787
Telling more than we can know: Verbal reports on mental processes.
Nisbett, R. E., & Wilson, T. D. (1977) · Psychological Review · doi:10.1037/0033-295x.84.3.231 · Cited by 11,317 · cited 1×
“Thus, researchers have examined only a subset of teachers' cognitive activities utilizing data that often suffer from validity problems ( Ericsson & Simon, 1993 ; Feldon, 2007 ; Nisbett & Wilson, 1977 ).”
BackgroundCognitive Load During Problem Solving: Effects on Learning
Sweller, J. (1988) · Cognitive Science · doi:10.1016/0364-0213(88)90023-7 · Cited by 11,048
The role of deliberate practice in the acquisition of expert performance
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993) · Psychological Review · doi:10.1037/0033-295x.100.3.363 · Cited by 9,564 · cited 1×
“Thus, researchers have examined only a subset of teachers' cognitive activities utilizing data that often suffer from validity problems ( Ericsson & Simon, 1993 ; Feldon, 2007 ; Nisbett & Wilson, 1977 ).”
BackgroundThe magical number 4 in short-term memory: A reconsideration of mental storage capacity
Cowan, N. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01003922 · Cited by 6,779
Implicit social cognition: Attitudes, self-esteem, and stereotypes
Greenwald, A. G., & Banaji, M. R. (1995) · Psychological Review · doi:10.1037/0033-295x.102.1.4 · Cited by 6,682
Cognitive Architecture and Instructional Design
Sweller, J., van Merrienboer, J. J. G., & Paas, F. G. W. C. (1998) · Educational Psychology Review · doi:10.1023/a:1022193728205 · Cited by 6,023
Controlled and automatic human information processing: I. Detection, search, and attention.
Schneider, W., & Shiffrin, R. M. (1977) · Psychological Review · doi:10.1037/0033-295x.84.1.1 · Cited by 5,902
Cited by
Professional competence of teachers: Effects on instructional quality and student development.
Kunter, M., Klusmann, U., Baumert, J., Richter, D., Voss, T., & Hachfeld, A. (2013) · Journal of Educational Psychology · doi:10.1037/a0032583 · Cited by 1,553
Cultural Schemas: What They Are, How to Find Them, and What to Do Once You’ve Caught One
Boutyline, A., & Soter, L. K. (2021) · American Sociological Review · doi:10.1177/00031224211024525 · Cited by 216
Burgess, D. J. (2010) · Medical Decision Making · doi:10.1177/0272989x09341751 · Cited by 213
Van Leeuwen, A. (2015) · Journal of Learning Analytics · doi:10.18608/jla.2015.22.11 · Cited by 84
Guiding Preservice Teachers to Adapt Mathematics Word Problems Through Interactions with ELLs
Kurz, T. L., Gómez, C., & Jimenez-Silva, M. (2017) · Journal of Urban Mathematics Education · doi:10.21423/jume-v10i1a291 · Cited by 8
“In this study, we found that it was a challenge for preservice teachers to learn how to finesse word problems (or other problems for that matter) while still maintaining an appropriate and meaningful level of cognitive demand (Feldon, 2007; Schnotz & Kürschner, 2007).”
Background(2014)
Metadata
- Authors
- FELDON, D. F.
- Venue
- Educational Psychologist
- Publisher
- Informa UK Limited
- Published
- 2007-07-27
- Volume
- 42
- Issue
- 3
- Pages
- 123-137
- ISSN
- 0046-1520 (ISSN-L)
- 1532-6985
- OpenAlex
- W2119798890
- Cited by
- 300
- References
- 36
- FWCI
- 10.43
- Type
- journal article
- Language
- en
- Open access
- closed
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