期刊目錄列表 - 64卷(2019) - 【教育科學研究期刊】64(4)十二月刊
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縱貫性網路使用行為對學業成就的影響:潛藏轉移模型分析取向
作者:國立東華大學師資培育中心曾明基

卷期:64卷第4期
日期:2019年12月
頁碼:31-59
DOI:10.6209/JORIES.201912_64(4).0002

摘要:
目前探究網路使用行為對學業成就的影響,僅侷限於橫斷性研究,本研究進一步於縱貫性架構下,探究持續動態變化的網路使用行為對學業成就的影響。基於上述,本研究運用屏東教育長期追蹤資料庫國小四年級至六年級學生的固定追蹤樣本,並採用潛藏轉移模型進行網路使用行為對學業成就影響的動態分析。研究發現,網路使用行為可潛在地區分成五個異質群體,且隨著年級的增加,網路使用行為的轉移機率在不同群體的動態變化有所差異。進一步納進學生性別及學業成就分析發現,性別差異影響網路使用行為,且網路使用行為的潛在異質差異在學業成就上的表現不同。針對上述結果,本研究對網路使用行為的形塑及議題發展提出相關的建議。

關鍵詞:網路使用行為、潛藏轉移模型、學業成就

《詳全文》 檔名

參考文獻:
    1. 王涵芸、廖益興(2016)。網路使用行為與學業成就之研究─以新竹市公立國小六年級學生為例。中華行政學報,18,75-95。doi:10.6712/JCPA.201606_(18).0004 【Wang, H.-Y., & Liao, I.-S. (2016). The correlation between internet behavior and academic achievement of the public sixth-grade students in Hsinchu City. The Journal of Chinese Public Administration, 18, 75-95. doi:10. 6712/JCPA.201606_(18).0004】
    2. 行政院研究發展考核委員會(2013)。6-11歲學童數位學習與數位機會調查。取自http://ws.ndc.gov.tw/001/administrator/10/relfile/0/1000/3121615281771.pdf 【Research, Development Evaluation Commission, Executive Yuan. (2013). 6-11 year old schoolchild digital learning and digital opportunity survey report. Retrieved from http://ws.ndc.gov.tw/001/administrator/10/ relfile/0/1000/3121615281771.pdf】
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中文APA引文格式曾明基(2019)。縱貫性網路使用行為對學業成就的影響:潛藏轉移模型分析取向。教育科學研究期刊64(4),31-59。doi:10.6209/JORIES.201912_64(4).0002
APA FormatTseng, M.-C. (2019). The effect of the internet use behavior on academic achievement: latent transition model analysis. Journal of Research in Education Sciences, 64(4), 31-59. doi:10.6209/JORIES.201912_64(4).0002

Journal directory listing - Volume 64 (2019) - Journal of Research in Education Sciences【64(4)】December
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The Effect of the Internet Use Behavior on Academic Achievement: Latent Transition Model Analysis
Author: Ming-Chi Tseng (Center for Teacher Education, National Dong Hwa University)

Vol.&No.:Vol. 64, No.4
Date:December 2019
Pages:31-59
DOI:10.6209/JORIES.201912_64(4).0002

Abstract:
The literature on the effect of Internet use behavior on academic achievement has been limited to cross-sectional studies, but this study adopted a longitudinal framework and used the latent transition model to analyze data from the Pingtung Education Longitudinal Survey database. The study found that Internet use behavior can be divided into five heterogeneous groups, and as the grade increases, the transfer rate of Internet use behavior varies among the groups. Further analysis revealed that gender differences influence Internet use behavior, and that the potential heterogeneity of Internet use behaviors depends on academic achievement. This study proposes suggestions relevant to Internet use behavior and development.

Keywords:academic achievement, Internet use behavior, latent transition model