Cognition Differentiation Analysis of Graduate Attributes among Graduate, Teacher, and Employer

• Main Authors: Ching-Hua Wang, 王菁華
• Other Authors: Haw-Ching Yang
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/53653886931002655536

碩士 === 國立高雄第一科技大學 === 系統資訊與控制研究所 === 101 === Currently, acquiring accreditation of engineering education is an important topic for the engineering education institutes in Taiwan. The key of acquiring accreditation is continually improving educational programs through various feedback sources. However, the education institutes is challenged how to clarify the reasons of the significant differences between different feedbacks on the same graduate attributes and to reach the goal of continuously improvement. According to graduate attributes, this study provides a system approach to analyze the questionnaires from graduates, employers, and teachers to indicate the improvement direction. First, building the structural equation modeling (SEM) model of each graduate attributes from the questionnaires can remove the unfitted questionnaire items to validate the explanatory ability of the questionnaire results. In addition, based on the valid questionnaire items, the proposed hypothesis testing flow can be used to evaluate and analyze the differentiation of different feeback sources so that the suggestions for improvement can be derived. In the case study, based on the questionnaires from an Institute of Computer and Communication of a Science and Technology University, the proposed method can effectively analyze differences and reasons. For example, when the cognition differences between graduates and teachers are significant in the attribute of professional and technical applications, the proposed approach can indicate that may be casued from inexperience or changeful teachers. And if the difference is in the attribute of teamwork and interpersonal relations, the proposed approach can find that it may be induced from inexperiences of outside school contests and related projects. Therefore, this proposed approach can clarify the differences between different sources of feedback questionnaires and can be used to analyze the difference causes for future improvement.