A Study of the Relationship between Mentors' Leadership Behaviors and Competition Results of Automobile Repair Contestants in National Industry-Related Skills Competition

• Main Authors: LIEN, Chi-Jui, 連啟睿
• Other Authors: Li, Ching-Feng
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/02859287485904495209

碩士 === 國立臺灣師範大學 === 工業教育學系 === 104 === The aim of this research is to investigate how mentors of the automobile mechanic in National Industry-Related Skills Competition apply transformational and transactional leadership to the current teaching situation, and, furthermore, to probe into how the leadership behaviors affect the performance of the contestants. By referring to some literature reviews as well as a few related researches by domestic intellectuals, the current study adopted an Automobile Mechanic Mentors’ Leadership Behavior questionnaire, whose foundation is based on transformational and transactional leadership behaviors, to be the main instrument employed. This study recruited a total of 249 mentors participating in Automobile Mechanic in National Industry-Related Skills Competition 2015 to be the subjects of this questionnaire. Results of this study are presented via the descriptive statistics, independent-sample t-test, one-way ANOVA, Scheffé method, and stepwise regression analysis, and proper suggestions are also provided to serve as references for the future mentors of National Industry-Related Skills Competition. Results of this study were addressed as follows. 1.The average year of being a mentor for Automobile Mechanic in National Industry-Related Skills Competition is found less than three years. 2.There is a high degree of leadership behaviors applied by mentors when they instruct Industry-Related Skills Competition 3.Mentors who had successful experiences of training award-winning competitors tend to use leadership behaviors more frequently. 4.Leadership behaviors, such as prospect, intelligence inspiration, individual consideration and expedient rewards, enable mentors to forecast the grades of competitions efficiently.