Teaching Quality Evaluation Method of Human Resource Management Based on Big Data
| Autor: | Liu Li, Cai-ming Zhang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Index (economics)
Computer science business.industry Process (engineering) media_common.quotation_subject education Big data Set (abstract data type) Engineering management Human resource management ComputingMilieux_COMPUTERSANDEDUCATION Quality (business) Human resources business Reliability (statistics) media_common |
| Zdroj: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030843854 |
| DOI: | 10.1007/978-3-030-84386-1_28 |
| Popis: | In view of the current teaching quality evaluation method of human resource management major, in the process of index weight calculation, the index hierarchy is less divided into grades, which leads to the low reliability of the selected indicators. This paper proposes a teaching quality evaluation method of human resource management specialty based on big data. Using big data technology, the information data of teaching quality evaluation is collected, and the evaluation indicators are obtained after screening. The evaluation index system of human resource management professional course teaching quality is constructed, and the index weight value is calculated to obtain the comprehensive evaluation set and corresponding evaluation value, determine the teaching quality grade, and realize the teaching quality evaluation of human resource management specialty. The experimental results show that the design method improves the reliability and extraction ability of index data, the index reliability is higher, and the evaluation results are more accurate. |
| Databáze: | OpenAIRE |
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