本研究以某國立大學學生為研究對象,透過調整學生宿舍網路架構、記錄網路封包與各類網站瀏覽次數統計等資訊技術,取得宿舍網路之使用行為紀錄;並據該實證記錄以瞭解大學生網際網路之使用狀況、探討網站之瀏覽次數比例與學業成績、常用網路功能之使用時數與學業成績之相關性。 本研究之主要發現如下: 1. 瀏覽醫藥保健、國家政治、圖書館、宗教等四類網站之次數比例與學業成績有顯著正相關。 2. 瀏覽新聞、遊戲、體育、BBS等四類網站之次數比例與學業成績有顯著負相關。 3. 瀏覽工商、理財金融、學習網站、娛樂、色情、其他、電腦、文學、音樂、通訊、聊天室等類型網站之次數比例與學業成績無顯著相關。 4. 瀏覽網站總次數與學業成績無顯著相關。 5. 在網路使用時數方面,網路線上遊戲使用時數、網路傳輸時數、網路輸出總訊務量、深夜使用網路時數等項目與學業成績達到顯著負相關。 網路線上遊戲使用時數與學業成績呈高度負相關,且在夜間十一點至凌晨四點之深夜時段持續玩線上遊戲的情況相當嚴重。建議後續研究者可對網路線上遊戲族群的身心狀況、工作與學業表現之相關研究領域作進一步之探討。
This study aims to explore the relationship between campus network utilization and academic achievement for the undergraduate students in a national university. The frequency data of webpages browsing was collected via adjusted network structure by using information techniques of network packets monitoring and counters. Thereafter, the data was correlated with students’ academic achievements in one semester. The study revealed the following findings: 1. There’s positive correlation between students’ academic records and frequency of accessing webpages of medical, political, religious and library. 2. There’s negative correlation between students’ academic records and frequency of accessing webpages of news, games, sports, and BBS(Bulletin Board System). 3. There’s no significant correlation between students’ academic records and frequency of accessing webpages of business, finance, learning, pornography, computer, literature, music, communication and chat room. 4. There’s no significant correlation between students’ academic records and the total times spending in on-line webpages browsing. 5. There’s significant negative correlation between students’ academic records and the amount of time playing on-line network games, network transferring time, network total output, and total hours spending late night. The total hours of staying last night with on-line games for undergraduate students obviously correlated negatively with their academic records. Furthermore, most students play on-line game during 23:00 pm to 4:00 am. It needs further study of the possible bad impacts to the students’ physical health, mental health, academic records and working quality.