What this category's data looks like
The development of talent cultivation programs in vocational colleges involves three types of materials: talent cultivation programs, curriculum standards, and job competency analysis tables, which often contain multilingual course names, competency indicators, and terminology definitions. The materials come from academic affairs offices, secondary colleges, and partner enterprises, and are updated by academic year or professional accreditation cycle. Fields include course code, credits, class hours, offering semester, signatures, and dates. When entering parsing and training tasks, the talent cultivation program serves as the main document providing professional positioning and the curriculum system, the curriculum standards provide unit-level terminology and assessment requirements, and the job competency analysis table provides job tasks and competency entries. Together, the three constitute the extraction source for a unified terminology glossary and comparison draft.
Configuration and implementation checks
This step is executed by parsing and training tasks (server-side tasks), outputting data rows and index statuses (parsed, indexing, indexed). The "unified terminology glossary and comparison draft" is then completed by retrieval and subsequent processing.
| Object | Check | Verification action |
|---|---|---|
| Talent cultivation program | Course names, credits, class hours, dates, and signatures are consistent across the three materials | Check the name, quantity, date, and signature receipt of the same course record in the program, curriculum standards, and job competency analysis table, and check the records of chunkSize and chunkSplitter in the data rows |
| Curriculum standards | Unit terminology and assessment requirements can refer back to course entries in the program | Check whether the terminology wording in the curriculum standards is consistent with the program and job competency analysis table, and check version synchronization, confirming that the data row status is parsed, indexing, or indexed |
| Job competency analysis table | Job task and competency entry names, quantities, and dates are consistent with the program | Check whether the competency entries in the job competency analysis table match the program and curriculum standards, and check signatures, and check the records of trainingType in the data rows |
| Parsing and training tasks | The data row status is parsed, indexing, or indexed and is consistent with the interface display | Open the data rows to check the status, check the file records and data rows separately, and view the data rows covered by the rebuild task |
Three common errors
- Symptom: The name, credits, or date of the same course do not match between the program and the curriculum standards. Cause: The two materials are maintained separately, versions are not synchronized, and there is no unified terminology glossary and comparison draft.
- Symptom: The job competency analysis table lacks signatures or receipts, making it untraceable after publication. Cause: Signatures were not collected during the material circulation process, and missing fields were not marked during parsing.
- Symptom: Newly uploaded materials cannot be found, or rebuilding after changing models takes abnormally long. Cause: Data pending indexing does not participate in recall, rebuilding only covers data that has completed indexing, and initial training covers data that is pending indexing and indexing.
How to verify the setup
Acceptance of this feature: Upload one material and observe the data row status transitions and the coverage scope of the rebuild task; check the records of chunkSize, chunkSplitter, and trainingType in the data rows and index statuses, and confirm that the status is parsed, indexing, or indexed and is consistent with the interface.
Business test: Sample three terms and check whether their wording is consistent throughout the entire document
- Open the data rows to check the status, check the file records and data rows separately, and confirm that the identifiers are distinguishable
- View the data rows covered by the rebuild task, and confirm that only data that has completed indexing is covered