本研究旨在探討不同學制技職生參與休閒運動的差異情形。採問卷調查法,對象為聖約翰(新埔)技術學院四年制學生,經分層隨機取樣940人,回收有效問卷789份(回收率83.9%)。依研究目的,採描述統計、項目分析、探索性因素分析、積差相關考驗、t檢定、卡方檢定、迴歸分析等,進行資料分析,茲將研究結果分析如下:一、技職生休閒運動參與習慣以「偶而為之」為主;另進修部學生對「休閒資訊」的需求較殷切。二、進修部學生休閒運動的效益訒知高於日間部學生,並在「身心效益」和「社會學習」構面上,達顯著差異。三、日間部學生在「外在資源」、「個人知覺」構面上,自覺阻礙大於進俢部學生,另進修部學生在其他因素構面的阻礙均大於日間部,尤其在「個人責任」因素構面上,達顯著差異。四、技職生參與休閒運動程度如學制、花費、重要性、社會學習有正相關;和性別、運動經驗、設施環境阻礙、休閒資訊阻礙呈負相關,並均達顯著水準。五、技職生參與休閒運動程度的預測情形,在性別、重要性、設施環境、運動花費、運動經驗、社會學習、自我教育、休閒資訊等變項達顯著水準,亦即有八個變項可以預測參與程度,聯合預測力達14.2%。
The aim of this paper was to discuss the differences in recreational exercise participation among technical college students of different school systems. The research was conducted via questionnaires, and 940 fourth-year SJSMIT students were selected by stratified random sampling; effective questionnaires of 789 were collected (83.9%). According to the aim of this research, descriptive statistics, item analysis, exploratory factor analysis, product-moment correlation, t-test, chi-square test, and regression analysis were carried out for the processing of collected data. The results were as follows: 1. The will and actual participation in recreational exercise of technical college students were mostly occasional; student of SJSMIT, College of Further Education (CFE) had a more need for”recreation information”. 2. Students of SJSMIT, CFE had a higher cognition of the value of recreational exercise than students from SJSMIT and showed significant differences in aspects of”mind-body benefitsand”socio-learning”. 3. Students of SJSMIT believed themselves to face a greater obstacle in aspects of”outside resources” and”personal perception”; students of SJSMIT, CFE showed greater obstacles in all other aspects, especially in ”personal responsibility”. 4. Student participation in recreational exercise exhibited positive relativity for factors such as the school system, expense, importance, and socio-learning; and negative relativity with sex, experience, obstacles of facility environment, and obstacles of getting recreation information. All factors mentioned above reached significant differences. 5. The prediction of student participation in recreational exercise showed significant differences in sex, importance, facility environment, expense, experience, socio-learning, self-education, and recreational information, thus creating 8 variables for the prediction of student participation in recreational exercise; the combined prediction power reaches 14.2%.