Research on the Training Mode of Children's Engineering Thinking with the Concept of STEAM Education
Bibliographic record
Abstract
As one of the channels to cultivate compound talents with innovative features, STEAM education, has attracted widespread attention from all walks of life. Engineering thinking, among the core qualities of STEAM education, has gained increasingly growing importance in the K12 stage. The main aim of the study is to analyze the training mode of children's engineering thinking with the concept of steam education. With "paper-cutting" as the theme of the teaching activity, this research selects 16 fourth-grade primary school students as the research objects and carries out three rounds of teaching activities under the framework of STEAM activities for the cultivation of engineering thinking capability. Through three rounds of iterations with the action research method, as well as the overall scoring table and the sub-item scoring table to conduct paired sample t-test on the data of the three rounds of the teaching process, it is found that STEAM education has a significant effect on improving children's engineering thinking capability.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".