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A Keystroke Analysis of Learning and Transfer in Text Editing

Bibliographic Data

ID15215871
AuthorsMark K Singley (Carnegie Mellon University, corresponding author), Jared R Anderson (0000-0002-3094-8885, Carnegie Mellon University), John R Anderson (0000-0002-8377-548X)
Year1987
Volume3
Issue3
Pages223-274
Publication date1987-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueHuman-Computer Interaction (JOURNAL)
Journal identifiersISSN: 0737-0024 • E-ISSN: 1532-7051
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1207/s15327051hci0303_2
OpenAlexW2086398758
LanguageEN
Citations received5
References cited9

Two experiments studied the acquisition and transfer of text-editing skill. The first experiment, originally reported in Singley and Anderson (1985) but reanalyzed in greater detail here, found nearly total transfer between two similar line editors and partial transfer from the line editors to a screen editor. Analyses of the keystroke data revealed that the majority of the improvement during both learning and transfer was concentrated in the planning components of the skill. The second experiment found little evidence for negative transfer between a pair of screen editors designed for maximal interference using a classic interference paradigm. The few instances of negative transfer observed were better characterized as the positive transfer of nonoptimal methods rather than instances of true procedural interference. These results support an identical elements model of transfer based on a production system representation of cognitive skill. The relative magnitudes of transfer observed were consistent with detailed measures of production system overlap. In addition, localized transfer sites were hypothesized and identified through a series of microanalyses. Finally, specific transfer predictions based on the differential practice of general and specific components were tested and confirmed

Inductive transfer · Keystroke logging · Line (geometry · Linguistics · Negative transfer · Representation (politics · Transfer (computing · Transfer of learning · Computer Science · Digital Accessibility for Disabilities · Innovative Teaching and Learning Methods · Mathematics · Usability and User Interface Design · Artificial Intelligence

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Unique citing works5
Citations per year0,14
Citation span1990 - 2020 (31)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4

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