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Theoretical Issues in Reading Comprehension: Perspectives from Cognitive Psychology, Linguistics, Artificial Intelligence, and Education
Abstract
Research in cognitive psychology, linguistics, education and artificial intelligence -- the four disciplines that have the most direct application to an understanding of the mental processes in reading -- is presented in this multilevel work that attempts to provide a systematic and scientific basis for understanding and building a comprehensive theory of reading comprehension. The major focus is on understanding the processes involoved in the comprehension of written text. The underlying message in most of the contributions is the assumption that skilled reading comprehension requires a coordination of text with context in a way that goes far beyond simply chaining together the meanings of a string of decoded words.
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Cited by
Situated Cognition and the Culture of Learning
Brown, J. S., Collins, A., & Duguid, P. (1989) · Educational Researcher · doi:10.3102/0013189x018001032 · Cited by 13,645
Categorization and Representation of Physics Problems by Experts and Novices*
Chi, M. T. H., Feltovich, P. J., & Glaser, R. (1981) · Cognitive Science · doi:10.1207/s15516709cog0502_2 · Cited by 5,248
Decoding, reading, and reading disability.
Gough, P. B., & Tunmer, W. E. (1986) · Remedial and Special Education · doi:10.1177/074193258600700104 · Cited by 3,972
Hoover, W. A., & Gough, P. B. (1990) · Reading and Writing · doi:10.1007/bf00401799 · Cited by 2,956
The role of beliefs in the practice of teaching
Nespor, J. (1987) · Journal of Curriculum Studies · doi:10.1080/0022027870190403 · Cited by 2,052
Metadata
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2017-11-03
- OpenAlex
- W642745061
- Cited by
- 2,224
- References
- 0
- FWCI
- 78.60
- Type
- book
- Language
- en
- Open access
- closed
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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.