本研究主旨在探討國立臺灣師範大學專責導師制度之實施期望與成效,採自編「國立臺灣師範大學專責導師制度實施期望問卷」與「國立臺灣師範大學專責導師制度實施成效問卷」問卷為研究工具,以臺師大大一及大四學生為對象,蒐集有效樣本分別為1,394 人與1,441 人(滿一年)、1,578 人(滿兩年)。所得資料以統計次數分配、百分比、one-way ANOVA 及單因子變異數分析,研究結果與發現如下:一、 專責導師與學生溝通方式整體來說以班級活動(班會)為最多有71.1%,其次為網路(mail、line、FB 等)有50.3%。二、 專責導師對實際協助以促進班級互動為最多有50.5%,其次為作為學校、其他老師或同學溝通的橋樑有49.1%。三、 學生對專責導師制度的實施期望與實際感受發現學生最能認同且期待之項目為「我期望他(她)公平對待與尊重不同的學生」4.35 分。四、 專責導師與學生的接觸頻率:整體調查結果顯示,學生對與專責導師的接觸頻率以本學期1 ~ 3 次(46.0%)與4 ~ 6 次(33.4%)占多數,唯有11.9% 的同學表示與專責導師本學期接觸達10 次以上。五、 對於「個別狀況處理」與「導生互動與班級經營」兩個構面因素不同性別、不同年級、不同科系領域以及不同接觸頻率等四個變項對專責導師制度期望與實際感受之差異均達顯著。
This study aims to explore the implementation expectation and the implementation effect of the Student Affairs Counselor System in NTNU. The case study method is mainly by "Implementation Expectation questionnaire" and "Implementation Effect questionnaire," which are compiled on questionnaire survey. The participants of this study are the freshman and senior students in the case university in the 2014 fall semester. There is a total of 1,394 and 1,462 valid questionnaires. The data is analyzed with statistical methods, including mean, standard deviation, t-test, one-way analysis of variance, and Pearson product-moment correlation. Based on the statistical data, we have the following conclusions: 1. The student affairs counselors mostly obtain connection with students by means of class activities 71.1%. 2. For practical assistance, student affairs counselors contribute most when helping facilitate class interaction 50.5%. 3. As for students' actual expectation and feelings, the results show that students expect the following the most: "I expect that he or she treats different students with respect and equality 4.35 points." 4. As for the frequency of contact between student affairs counselor and students, the results show that 46.0% of students have 1 ~ 3 contacts, while 33.4% have 4 ~ 6 times this semester 5. "Individual situations and classroom management" and "Interpersonal interactions and campus experience" of different variables have reached significant differences.