4,221 to 4,230 of 7,224 Results
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MD5: fe96e07e6d3cb235db68ae0445585686
Model D predicted field |
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MD5: f360b79a0a96e4de8eeb71c8460012eb
Model C magnetization |
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MD5: 22cc1f291089b84979a95f8b5a69c9d0
Model C predicted field |
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MD5: d0a3d32c7994fdee88663f7f814cfcc6
Model A magnetization |
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MD5: 730cf04c24d09a7c049e93378aef3150
Model A predicted field |
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MD5: 8812e9d1e65ac93d3ab21558073b5223
Model B magnetization |
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MD5: 5c5ed9a4c1466ef4a8caf55b32a058c5
Model B predicted field |
Dec 21, 2021
Kaspersen, Eivind, 2021, "Eye-tracking data for classification of geometric shapes", https://doi.org/10.18710/TEJDSF, DataverseNO, V1
Eye-tracking data for geometric classification tasks for abstract and non-abstract thinking. How to develop and assess abstraction processes are longstanding methodical problems in mathematics education. Recently, the advent of eye tracking technology has spurred a discussion abo... |
Dec 21, 2021 -
Eye-tracking data for classification of geometric shapes
Plain Text - 4.8 KB -
MD5: ffc314d045e835ff2f35ea06a26516df
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Dec 21, 2021 -
Eye-tracking data for classification of geometric shapes
Plain Text - 2.7 KB -
MD5: 46bf073dfc08f8a05eb069b8846fe986
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