學校教育所得到之教育成果,往往會成為決定其未來的職業及社會地位的很重要因素。故影響學生學習成就表現之因素,一直是大家所關注之議題。家庭是每個人出生後第一個接觸的學習場所,也是人格養成的搖籃。學校教育成功關鍵來自家庭教育,而家庭教育的成敗與家庭因素有極大關連性。另外,隨著科技的進步與網際網路的時代來臨,人們的生活越來越方便與快速。而青少年是網路使用的最大族群之一,其行為或操作內容是否對課業學習有正面功能或負面阻礙的影響?也是研究者所關心的問題。 本研究以W高中(高職部)二年級學生為研究對象,並透過問卷調查來探討高職學生家庭背景、網路行為對學業成績之影響。本研究運用問卷調查法進行相關資料的分析與驗證,並從中歸納出其影響學生成績的因素。研究結果如下: 一、在學生個人背景變項中,性別因素對學業成績影響達顯著水準; 二、在學生家庭背景變項與網路行為變項中,許多因素對學業成績影響未達顯著水準。 三、在學生在不同家庭背景變項中,對每天上網時間之影響未達顯著水準。 四、從問卷中挑選出16個變項,經因素分析法後萃取出七個潛在因素,其中以父母社經背景因素、手足因素、家庭結構與性別等四類潛在因素為主要因素。 五、將七個潛在因素對國文、英文、數學、體育及學業平均成績進行多元迴歸分析,結果顯示各科目成績之因變數與自變數間具有線性關係存在。
Educational achievement of a student at schools often has high relationship with their future carrier and social status. All factors that effect educational achievement are therefore become interesting topics for everybody. The home is the first learning place for everyone after birth and it also plays an important role to someone’s character. Successful education at schools comes from successful education at home. And the background of a family is associated to the education at home so much. Besides, the human’s life is becoming more and more convenient with the huge progress of technology and the coming of internets. The teenager is one of the group who surf the internet very often. It is also an interesting topic to scholars to understand how the internet access behavior of the young boys and girls related to their grades at schools. This study is based on the questionnaires to sophomoric students of W high school. Whether they get good grades at the school or not is discussed here and how it related to their family background and their internet access behavior. Statistics analysis is applied and one try to induce what are the factors that related to academic record more. And the conclusion of this study is as following: 1.It shows that sex difference has high correlation to academic record. 2.It shows that the family’s background and the internet access behavior do not have strong relation to academic record. 3.It shows that the family’s background do not has obvious effect to the internet access behavior. 4.16 variables of questionnaires are selected and are applied to factor analysis. The result shows that 7 factors dominate academic achievement. They could also be categorized into 4 classes: parent’s social/economic state, academic record of older brothers/sisters, family member and sex difference. 5.Potential factors to scores in Chinese, scores in mathematics and scores in sports and average academic record are applied to regression analysis. The result shows that these 7 independent variables are linearly correlated to those dependent variables.