A history of the presidency of National Taiwan University: The relationship between the university and an evolving democratic nation

Higher education always plays an important role in the development of a nation. Taiwan is no exception. Graduates of the National Taiwan University have occupied most of the important positions in this country and today many devote themselves to the development of Taiwan since the central government of the Republic of China (ROC) withdrew from Mainland China and re-located to Taiwan in the winter of 1949. The higher education system in Taiwan, including university and junior colleges, received special attention from the government except from 1945 to 1949 during the transitional period; the time of the early restoration year and the central government's retreating period from Mainland China.^ The five presidents of National Taiwan University who served from 1949 to 1993, Fu Szu-nien, Chien Seu-liang, Yen Chen-Hsing, Yu Chao-chung, and Sun Chen, are the subject of this research. All of the presidents were appointed by the government which established a direct connection between the government and the university leadership. The purpose of this study is to understand how each president balanced politically assigned roles and expectations with personal visionary academic responsiveness to the principles which define the university.^ Each president and his tenure were analyzed using historical research, a developed leadership model, an integration of role theory, Locke's leadership model, Wiles and Bondi curriculum leader tasks, and Burn's leadership style. Results of analyses of documents showed that all presidents of the National Taiwan University were highly respected due to their academic background, personal characteristics, and contribution to the university as a leader. Meanwhile, implementation and achievement of the presidents led to the conclusion that appointed university presidents had significant relationships with government policy. Their leadership style was affected strongly by their personal traits and knowledge and the social and political climate of the time. ^

Factors influencing university performance of associate in arts graduates transferring to the state university system

The purpose of this study was to examine the factorsbehind the failure rates of Associate in Arts (AA)graduates from Miami-Dade Community College (M-DCC) transferring to the Florida State University System (SUS). In M-DCC's largest disciplines, the university failure rate was 13% for Business & Management, 13% for Computer Science, and 14% for Engineering. Hypotheses tested were: Hypothesis 1 (H1): The lower division (LD) overall cumulative GPA and/or the LD major field GPA for AA graduates are predictive of the SUS GPA for the Business Management, Computer Science, and Engineering disciplines. Hypothesis 2 (H2): Demographic variables (age, race, gender) are predictive of performance at the university among M-DCC AA graduates in Engineering, Business & Management, and Computer Science. Hypothesis 3 (H3): Administrative variables (CLAST -College Level Academic Skills Test subtests) are predictive of university performance (GPA) for the Business/Management, Engineering, and Computer Science disciplines. Hypothesis 4 (H4): LD curriculum variables (course credits, course quality points) are predictive of SUS performance for the Engineering, Business/Management and Computer Science disciplines. Multiple Regression was the inferential procedureselected for predictions. Descriptive statistics weregenerated on the predictors. Results for H1 identified the LD GPA as the most significant variable in accounting for the variability of the university GPA for the Business & Management, Computer Science, and Engineering disciplines. For H2, no significant results were obtained for theage and gender variables, but the ethnic subgroups indicated significance at the .0001 level. However, differentials in GPA may not have been due directly to the race factor but, rather, to curriculum choices and performance outcomes while in the LD. The CLAST computation variable (H3) was a significant predictor of the SUS GPA. This is most likely due to the mathematics structure pervasive in these disciplines. For H4, there were two curriculum variables significant in explaining the variability of the university GPA (number of required critical major credits completed and quality of the student's performance for these credits). Descriptive statistics on the predictors indicated that 78% of those failing in the State University System had a LD major GPA (calculated with the critical required university credits earned and quality points of these credits) of less than 3.0; and 83% of those failing at the university had an overall community college GPA of less than 3.0.