Research on learning effect analysis model of micro course in power enterprises based on clustering algorithm

Zihang Jia
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Abstract

As the core of enterprise operation and development, employees’ technical ability, work level and comprehensive quality will directly determine the development of the enterprise. How to strengthen the staff training of power enterprises and continuously improve the comprehensive ability of employees is a difficult problem faced by power enterprises. With the characteristics of "short" and "accurate", micro course has become a new form of enterprise training. According to the micro course training of employees in power enterprises, the subject uses cluster analysis algorithm to analyze and extract its learning effect, and obtains the decision-making basis conducive to enterprise managers’ decision-making, with good effect.
基于聚类算法的电力企业微课程学习效果分析模型研究
作为企业经营发展的核心,员工的技术能力、工作水平和综合素质将直接决定企业的发展。如何加强电力企业的员工培训,不断提高员工的综合能力,是电力企业面临的难题。微课程以其“短”、“准”的特点,成为企业培训的一种新形式。本课题针对电力企业员工的微课程培训,采用聚类分析算法对其学习效果进行分析提取,得出有利于企业管理者决策的决策依据,效果良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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