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Cited by 365

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Learning and retention of computer-related vocabulary in memory-impaired patients: Method of vanishing cues

Glisky, Elizabeth L., Schacter, Daniel L., Tulving, Endel·1986·Journal of Clinical and Experimental Neuropsychology

Abstract

Several investigators have suggested that microcomputers might serve as useful external aids for memory-impaired patients. However, knowledge of basic computer vocabulary may be necessary for patients to use and benefit from a microcomputer. The present paper describes a procedure, the method of vanishing cues, which facilitated the acquisition of computer-related vocabulary in four memory-impaired patients. The method involves the systematic reduction of letter fragments of to-be-learned words across trials. Although learning was slow and strongly dependent on first-letter cues, all patients acquired a substantial amount of the vocabulary and eventually were able to produce the target words in the absence of fragment cues. Further, they retained the vocabulary over a 6-week interval and showed some transfer of the knowledge they had acquired. These findings suggest that memory-impaired patients may eventually be able to use a microcomputer as a prosthetic device.

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Metadata

Authors
Glisky, E. L., Schacter, D. L., & Tulving, E.
Venue
Journal of Clinical and Experimental Neuropsychology
Published
1986-06
Volume
8
Issue
3
Pages
292-312
ISSN
  • 0165-0475 (ISSN-L)
  • 0168-8634
OpenAlex
W2121652994
Cited by
365
References
2
FWCI
10.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Learning and retention of computer-related vocabulary in memory-impaired patients: Method of vanishing cues. https://app.cochat.ai/papers/10.1080/01688638608401320
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Glisky, E. L., Schacter, D. L., & Tulving, E. (1986). Learning and retention of computer-related vocabulary in memory-impaired patients: Method of vanishing cues. Journal of Clinical and Experimental Neuropsychology. https://doi.org/10.1080/01688638608401320

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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.