Benefits of Statics Concept Mapping in Career Cognition
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The purpose of this research was to develop a classroom project module that supported students in developing conceptual understanding of topics in statics, and building awareness of career value creation in engineering. The module developed includes a sequence of concept mapping activities that students complete that includes both technical topics and entrepreneurial mindset topics. The concept mapping activities were collected from students and scored using traditional and holistic approaches. The students completed a survey at the end of the concept mapping activities to provide insights about their experiences. The concept mapping for technical topics was found to be a useful formative assessment tool for students to connect concepts in the course. The value creation career results were compared with prior studies of engineering students who developed concept maps based on entrepreneurial mindset, and found to be very similar. The results indicate that this type of simple concept mapping activity can have benefits for students early in their engineering coursework to reflect on mindset and technical knowledge.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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