The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Skill Acquisition and the LISP Tutor
Open accessAbstract
An analysis of student learning with the LISP tutor indicates that while LISP is complex, learning it is simple. The key to factoring out the complexity of LISP is to monitor the learning of the 500 productions in the LISP tutor which describe the programming skill. The learning of these productions follows the power‐law learning curve typical of skill acquisition. There is transfer from other programming experience to the extent that this programming experience involves the same productions. Subjects appear to differ only on the general dimensions of how well they acquire the productions and how well they retain the productions. Instructional manipulations such as remediation, content of feedback, and timing of feedback are effective to the extent they give students more practice programming, and explain to students why correct solutions work.
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Mechanisms of skill acquisition and the law of practice
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Self-citationCognitive modeling and intelligent tutoring
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Self-citationA THEORY OF THE ACQUISITION OF SPEED-SKILL∗
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Cited by
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
Self-citationCognitive Tutors: Lessons Learned
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Self-citationLearning and Teaching Programming: A Review and Discussion
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How Can the Human Mind Occur in the Physical Universe?
Anderson, J. R. (2007) · doi:10.1093/acprof:oso/9780195324259.001.0001 · Cited by 1,483
Self-citationQuestion Asking During Tutoring
Graesser, A. C., & Person, N. K. (1994) · American Educational Research Journal · doi:10.3102/00028312031001104 · Cited by 900
Metadata
- Authors
- Anderson, J. R., Conrad, F. G., & Corbett, A. T.
- Venue
- Cognitive Science
- Publisher
- Wiley
- Published
- 1989-10
- Volume
- 13
- Issue
- 4
- Pages
- 467-505
- ISSN
- 0364-0213 (ISSN-L)
- 1551-6709
- OpenAlex
- W2039113359
- Cited by
- 386
- References
- 33
- FWCI
- 28.81
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.