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Graphical revelations: Comparing students' translation errors in graphics and logic.
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posted on 2023-06-08, 00:35 authored by Richard Cox, Robert Dale, John Etchemendy, Dave Barker-PlummerWe are interested in developing a better understanding of what it is that students find difficult in learning logic. We use both natural language and diagram-based methods for teaching students the formal language of first-order logic. In this paper, we present some initial results that demonstrate that, when we look at how students construct diagrammatic representations of information expressed in natural language (NL) sentences, the error patterns are different from those observed when students translate from NL to first-order logic (FOL). In the NL-to-diagram construction task, errors associated with the interpretation of the expression not a small dodecahedron were manifested much more frequently with respect to the objects size than with respect to its shape. In the NL-to-FOL task, however, no such asymmetry was observed. We hypothesize a number of possible factors that might be implicated here: differences between the NL-todiagram and NL-to-FOL tasks; the reduced expressivity of diagrams compared to language; scoping errors in participants NL parsing; and the visuospatial properties of the blocks-world domain. In sum, constructing a diagram requires the student to provide an instantiated representation of the meaning of a natural language sentence; this tests their understanding in a way that translation into firstorder logic does not, by ensuring that they are not simply carrying out a symbol manipulation exercise.
History
Publication status
- Published
Publisher
SpringerIssue
LNAI 5Volume
LecturPages
9.0Presentation Type
- paper
Event name
Diagrammatic Representation and Inference - Fifth International Conference on the Theory and Application of DiagramsEvent location
Herrsching, GermanyEvent type
conferenceDepartment affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes
Editors
G Stapleton, J Lee, J HowseLegacy Posted Date
2012-02-06Usage metrics
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