软技能和硬技能(实现高胜任力)与准备成为机械工程教育学生教师的相关性

B. Harjanto
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引用次数: 3

摘要

本研究旨在了解(1)软技能的影响,并准备成为2015年机械工程专业的教师教育学生;(2)机械工程专业师培学生职业能力(硬技能)与准备程度的关系;(3) 2015年1名机械工程专业师培生的软技能和职业能力成就(硬技能)与准备程度的影响。这种类型的研究是相关研究。本研究对象为FKIP UNS 2015级机械工程教育专业学生,共62名学生。样本量采用简单随机抽样法确定,共55名学生。我正在使用文件的方法收集数据的绩效变量职业能力(硬技能)和问卷调查变量软技能和准备成为一名教师。项目效度检验采用Pearson积矩公式,信度检验采用Alpha Cronbach公式。采用SPSS 19版程序进行粮食效度检验和仪器信度检验。前提分析检验包括正态性检验、线性检验和多重共线性检验。数据分析技术使用偏相关和多元线性回归。分析的显著性水平为5%。结果如下:首先,软技能与2015年机械工程师专学生的准备程度存在显著的正相关关系(r count = 0,806> r table = 0.2681;p值= 0.000 0.05)。科学证明,当职业能力(硬技能)的成就增加时,并不影响准备成为一名教师。第三,软技能与职业能力成就(硬技能)以及教师意愿之间存在显著的正相关关系(f count = 48.357> f table = 3.18)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CORRELATION BETWEEN SOFT SKILLS AND HARD SKILLS (ACHIEVEMENT OF HIGH COMPETENCY) WITH PREPARATION TO BE TEACHER OF MECHANICAL ENGINEERING EDUCATION STUDENTS
This study aims to acquire a good knowledge of (1) influence of soft skills with the readiness to be a teacher education student of Mechanical Engineering, 2015; (2) influence achievement of vocational competencies (hard skills) with the readiness of a teacher education student of Mechanical Engineering, 2015; (3)influence of soft skills and vocational competence achievement (hard skills) with the readiness of a teacher education student of Mechanical Engineering in 2015. This type of research is correlational research. The population of this research is the students of Mechanical Engineering Education FKIP UNS of 2015 class, which amounted to 62 students. The sample size was determined by simple random sampling technique, and the totalled 55 students. I am collecting data using the method of documentation for performance variables vocational competencies (hard skills) and a questionnaire to the variable soft skills and readiness to be a teacher. Validity test of item using Pearson Product Moment formula and reliability test instrument using Alpha Cronbach formula. Grain validity test and instrument reliability test using SPSS Version 19 program. The prerequisite analysis test consists of a normality test, linearity test, and multicollinearity test. Data analysis techniques use partial correlation and multiple linear regression. The level of significance of the analysis is 5%. The results are as follows. First, there is a positive and significant relationship between soft skills with the readiness of a teacher education student of Mechanical Engineering in 2015 (r count = 0,806> r table = 0.2681; p-value = 0.000 <0.05). If soft skills increase, the readiness to become a teacher is also increasing. Secondly, there is no positive correlation between the achievement of vocational competencies (hard skills) with the readiness of a teacher (r count = 0.187 0.05). Scientifically proven that when the achievements of vocational competencies (hard skills) increase, so do not affect the readiness to become a teacher. Third, there is a positive and significant relationship between soft skills and vocational competence achievement (hard skills) together with a readiness to be a teacher (f count = 48.357> f table = 3.18).
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