| Proceedings of the XXth Conference of Open Innovations Association FRUCT | 卷:426 |
| Mathematical Modeling in Adaptive Corporate Training | |
| Gennady Sigovtsev1  Marina Charuta1  Igor Semenov1  | |
| [1] Petrozavodsk State University, Russia, Petrozavodsk; | |
| 关键词: Corporate training; Corporate knowledge base; Cognitive map; Individual training course; | |
| DOI : 10.23919/FRUCT.2018.8468287 | |
| 来源: DOAJ | |
【 摘 要 】
The method of forming the content of individual training courses in the corporate training system is proposed. The method is based on the use of a mathematical model to represent the content of the corporate knowledge base. The model is a cognitive map of the corporate knowledge base, representing information units of this base and logical connections between them. The vertices and arcs of the cognitive map have a number of quantitative characteristics used in the process of constructing models for the content of training courses. Based on this model, models of positions and models of employees of the organization are built. It is shown how by comparing the qualification requirements of a certain position with the set of competencies of a particular employee, to build a model of the content of an individualized training course adapted for this employee. The algorithm for solving this problem is developed. Also the optimization problem statement of planning the content of an individual training course is presented with a given restriction on the time of its study. The structural-functional model and the software module architecture for the automated construction of the content model of such a training course are presented.
【 授权许可】
Unknown