Exploration on Teaching Reform and Construction of the Curriculum of "Integration of Professional and Innovation" in Automobile CAD
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
In the new era of innovation-driven development, it is particularly necessary for college students to carry out integrated education that combines professional theory and practice with knowledge and skills of innovation and entrepreneurship. The Automobile CAD curriculum is one of the important professional curriculums in vehicle engineering. This curriculum is a professional foundation curriculum that combines practical and application nature. Based on the concept of "integration of professional and innovation", a teaching module with strong practicality and different from traditional classroom teaching is set up to strengthen students' practical ability of innovation and entrepreneurship. Relying on various discipline competitions and teacher research projects, innovation and entrepreneurship, practice cultivation of talents and production learning research are integrated, which increases the interest of the curriculum and enhances the learning initiative of students, so as to continuously improve the quality of curriculum teaching. The author mainly discusses the ideas of curriculum construction from the aspects of teaching content, teaching conditions, teaching methods and assessment methods. Through the new teaching mode, it can achieve good teaching effect and provide a reference for cultivating innovative and application-oriented talents in vehicle engineering.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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