Using FMCDM to identify the importance of criteria for new recruitment of elementary school teachers

• Main Authors: Chen hsien tzu, 陳仙姿
• Other Authors: 呂世通
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/32355992240539913841

碩士 === 開南大學 === 商學院碩士在職專班 === 99 === Beginning in August 1997, the recruitment of new teachers for primary/secondary schools and kindergartens was officially switched from an appointment system (by the administrative authority) to an independent recruitment system. Teacher selection is now carried out through a collective decision-making model, by which, each school forms a "Teacher Evaluation Committee", which is responsible for teacher recruitment related matters. Since results of such selection have significant influence on subsequent teaching quality and educational achievement, choosing appropriate selection criteria, setting up adequate authority delegation, and establishing a decision-making model that meets the teaching goals will be the key to effective recruitment. This research derived three dimensions and 16 criteria from recruitment pamphlets, literature reviews, and expert interviews, and two approaches, Fuzzy Multiple Criteria Decision Making (FMCDM) and Consistent Fuzzy Preference Relations (CFPR) were then used to compile a questionnaire survey. A questionnaire survey was submitted to a panel of 60 experts for the “degree of importance” relating to the selection criteria. The panel of 60 experts consisted of current teachers and parents, who carried out an evaluation to determine the degree of absolute and relative importance of each selection criteria. Results of this research will provide a set of standard or weighted indices for schools in the process of teacher recruitment, so that a model will become available for selecting the best human resources to ensure the quality of the nation’s education.