The importance of spatial thinking for geoscience education: Insights from the crossroads of geoscience and cognitive science
Why this work is in the frame
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Bibliographic record
Abstract
Many students enrolled in geoscience courses have poorly developed spatial skills that may impede their success in mastering geoscience methods and concepts. To illustrate the variety of spatial skills required in the geosciences, we analyze a hypothetical field day of a structural geologist from the perspective of spatial cognition. We discuss some of the cognitive processes required for selective geoscience tasks, including map reading, navigation, perception of orientation, measurement of strike and dip, and interpretation of spatial diagrams including cross sections and stereographic projections. We suggest teaching strategies for several spatially demanding geologic tasks. We also outline ideas for future interdisciplinary research that may contribute to the development and evaluation of curricula designed to improve students' mastery of geoscience and spatial thinking, and, simultaneously, contribute to the field of cognitive science.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.031 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it