Research on Digital Media Art Teaching Mode Based on Maker Education Concept-Taking Shanxi Communication University as an Example
Bibliographic record
Abstract
Cultivating college students’ innovation ability is an important task of higher education. Innovation is regarded as the soul of a nation and the basic driving force of a country’s sustainable development. The purpose of the current study is to explore and examine the practical path of maker education mode on the improvement of the innovation ability of Chinese college students majoring in digital media art, as well as through the teaching strategy exploration and teaching method practice on the basis of the five stages of teaching mode of I-E-C-E-E including situational inspiration, architecture design, project creation, maker’s experience and demonstrating evaluation to conduct action research, summarize the practical application of maker teaching mode in the teaching of digital media art, and also to promote the development of the teaching mode of digital media art in application-oriented undergraduate colleges. The results of this study show that the experimental group is more desirable than the control group in creativity, practicability and technical characteristic.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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".