The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Psychometricians’ Beliefs About Learning
Open accessAbstract
The author contends that disputes within the measurement community about what constitutes legitimate test preparation and whether “teaching to the test” is good or bad for student learning can be explained by differences in measurement specialists beliefs about learning. Qualitative analysis of interview data from a nationally representative sample of 50 district testing directors revealed that approximately half of the measurement specialists operate from implicit learning theories that advocate, first, close alignment of tests with curriculum and, second, judicious teaching of tested content. Historical quotations are used to show that these beliefs, associated with criterion-referenced testing, derive from behaviorist learning theory, which requires sequential mastery of constituent skills and explicit testing of each learning step. The sequential, facts-before-thinking model of learning is contradicted, however, by a substantial body of evidence from cognitive psychology. Implicit beliefs should be made explicit because an understanding of learning theory assumptions is fundamental to evaluating evidence of testing effects and therfore to framing validity investigations.
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Cites
Education and thinking: The role of knowledge.
Glaser, R. (1984) · American Psychologist · doi:10.1037/0003-066x.39.2.93 · Cited by 1,272 · cited 1×
“Other fundamentally important findings have to do with the social aspects of learning (Resnick, 1987) and the move away from generic thinking skills to those embedded in particular knowledge domains (Glaser, 1984).”
BackgroundGagne, R. M. (1962) · Psychological Review · doi:10.1037/h0042650 · Cited by 442
Cited by
Assessment and Classroom Learning
Black, P., & Wiliam, D. (1998) · Assessment in Education: Principles, Policy & Practice · doi:10.1080/0969595980050102 · Cited by 8,152
Understanding and Validity in Qualitative Research
Maxwell, J. (1992) · Harvard Educational Review · doi:10.17763/haer.62.3.8323320856251826 · Cited by 2,951
Knowledge tracing: Modeling the acquisition of procedural knowledge
Corbett, A. T., & Anderson, J. R. (1995) · User Modelling and User-Adapted Interaction · doi:10.1007/bf01099821 · Cited by 2,324
Cognitive Tutors: Lessons Learned
Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995) · Journal of the Learning Sciences · doi:10.1207/s15327809jls0402_2 · Cited by 1,982
Fostering students' knowledge and argumentation skills through dilemmas in human genetics
Zohar, A., & Nemet, F. (2002) · Journal of Research in Science Teaching · doi:10.1002/tea.10008 · Cited by 1,346
Metadata
- Authors
- Shepard, L. A.
- Venue
- Educational Researcher
- Published
- 1991-10
- Volume
- 20
- Issue
- 7
- Pages
- 2-16
- ISSN
- 0013-189X (ISSN-L)
- 1935-102X
- OpenAlex
- W2146068067
- Cited by
- 205
- References
- 2
- FWCI
- 99.90
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.