Construction of Network Ideological and Political Course Management Platform Model in Colleges and Universities under the Intelligent Digital Education Environment
Bibliographic record
Abstract
The development of intelligent digital education poses new challenge to the ideological and political (abbreviated as IAP for short in the paper) work of college students. And it has brought fundamental changes to college students' learning and lifestyle. Under such circumstances, colleges and universities began to establish network platforms for IAP education. At present, the platform not only needs to meet the needs of ideology, modernization of education, personal and other aspects, but also has problems such as insufficient content and insufficient business personnel. It is necessary to adhere to the new development concept as the guide, strengthen the construction of online and offline platforms, explore the depth of platform contents, and continuously perfect the development of IAP education platform in colleges and universities under the new media environment. Under intelligent digital education, IAP work in colleges and universities must be guided by the new development concept, actively expand the connotation of online and offline platforms, continuously improve the construction of IAP positions in colleges and universities and promote the innovative development of IAP work. The college IAP education platform has strong communication power, considerable practical effects and a wide range of student groups, and can produce multi-dimensional educational effects such as network, practice, culture, management, service, and organization. The article analyzed the current network environment of college students' IAP education, and conducted an in-depth analysis of the main platform, internal auxiliary platform, off-campus auxiliary platform and its own problems of the current IAP education network platform in colleges and universities. This paper conducted a questionnaire survey and finds that more than 80% of the students are in favor of network optimization on the IAP education network platform.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".