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ON QUALITATIVE DIFFERENCES IN LEARNING: I—OUTCOME AND PROCESS*
Abstract
S ummary . This paper describes an attempt to identify different levels of processing of information among groups of Swedish university students who were asked to read substantial passages of prose. Students were asked questions about the meaning of the passages and also about how they set about reading the passages. This approach allows processes and strategies of learning to be examined, as well as the outcomes in terms of what is understood and remembered. The starting point of this research was that learning has to be described in terms of its content. From this point differences in what is learned, rather than differences in how much is learned, are described. It was found that in each study a number of categories (levels of outcome) containing basically different conceptions of the content of the learning task could be identified. The corresponding differences in level of processing are described in terms of whether the learner is engaged in surface‐level or deep‐level processing.
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The Impact of Classroom Evaluation Practices on Students
Crooks, T. J. (1988) · Review of Educational Research · doi:10.3102/00346543058004438 · Cited by 1,369
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Eliciting Self‐Explanations Improves Understanding
Chi, M. T. H., De Leeuw, N., Chiu, M., & Lavancher, C. (1994) · Cognitive Science · doi:10.1207/s15516709cog1803_3 · Cited by 757
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Roth, A., Ogrin, S., & Schmitz, B. (2016) · Educational Assessment, Evaluation and Accountability · doi:10.1007/s11092-015-9229-2 · Cited by 294
Entwistle, N. J. (1991) · Higher Education · doi:10.1007/bf00132287 · Cited by 277
Kuiper, E., Volman, M., & Terwel, J. (2005) · Review of Educational Research · doi:10.3102/00346543075003285 · Cited by 273
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Metadata
- Authors
- MARTON, F., & SÄLJÖ, R.
- Venue
- British Journal of Educational Psychology
- Publisher
- Wiley
- Published
- 1976-02
- Volume
- 46
- Issue
- 1
- Pages
- 4-11
- ISSN
- 0007-0998 (ISSN-L)
- 2044-8279
- OpenAlex
- W1975912968
- Cited by
- 4,608
- References
- 0
- FWCI
- 19.29
- Type
- journal article
- Language
- en
- Open access
- closed
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