Research on the Design of Training Evaluation Assistant Analysis System Based on Digital Capability Label Hierarchy
- DOI
- 10.2991/978-94-6463-044-2_95How to use a DOI?
- Keywords
- online learning; digitization; labeling; competency assessment
- Abstract
In order to meet the personalized learning needs and clear learning objectives of online learners. Meanwhile, push appropriate online resources for them, this paper established a digital capability labeling hierarchy based on job positions and actual work tasks by researching on digital capability labels which are integrated into learner modeling, test assessments and online learning resources. Using big data mining analysis technology, the training evaluation auxiliary analysis system automatically generates learning ability analysis reports, achieves accurate push learning resources. In this way, it will revitalize online learning resources and further improve enterprise human resources, while promoting industrial upgrading and technological innovation of training.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yanheng Zhao AU - Zhan Shi AU - Weijie Chen AU - Ran Fang AU - Xudong Zhang PY - 2022 DA - 2022/12/27 TI - Research on the Design of Training Evaluation Assistant Analysis System Based on Digital Capability Label Hierarchy BT - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022) PB - Atlantis Press SP - 756 EP - 764 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-044-2_95 DO - 10.2991/978-94-6463-044-2_95 ID - Zhao2022 ER -