應用科技接受模式來探究雲林縣國小教師使用數位學習系統的接受狀況

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Title:	應用科技接受模式來探究雲林縣國小教師使用數位學習系統的接受狀況
Other Titles:	Applying TAM to Explore the Adoption of e-Learning System for Elementary School Teachers in Yunlin County
Authors:	黃繼正 Huang, Chi-cheng
Contributors:	資訊管理學系陳仁義 Zen-yi Chen
Keywords:	電腦化課程設計;電腦自我效能;科技接受模式;數位學習 computer course design;computer self-efficacy;TAM;e-Learning
Date:	2012
Issue Date:	2015-01-08 12:01:21 (UTC+8)
Abstract:	近年來數位學習已成為熱門的學習或研習方式，其中有積極推動的雲林縣線上研習平台，是雲林縣政府在教育部輔導下所建置完成的。本研究是以此線上研習平台為主體，試圖來瞭解縣內國小教師在使用此系統作為進修研習的接受狀況與影響因素，或可作為縣政府推動、執行之參考。為了探究可能的影響因素，研究模型是以科技接受模式的核心部份為基礎，將持續行為意願作為果構面，加上了中介構面的知覺有用和知覺易用，並以常用的電腦自我效能來反應人們對系統的一般接受性。此外，我們考量到此系統的最大誘因來自於電腦化課程設計構面來反應課程內容和需求性，與電腦自我效能並列為外部變數。為了評估使用成效和持續意願的情況，我們透過問卷設計和收集調查資料來做統計分析，以回收的144份有效問卷來作此模型的路徑係數估計。結果顯示知覺有用扮演著持續行為意願的最重要而直接影響因，知覺易用則是次要而有間接影響，這些結果印證多年來大部份學者之發現；至於遠因中的電腦自我效能也有間接影響力，電腦化課程設計則是更為重要，除間接而顯著地影響BI之外，也是PU的最為顯著而直接的影響因子。因此，從我們設計的電腦化課程設計構面中可透露一些訊息，重視課程的內容、主題、互動性和符合使用者需求的課程設計是影響持續行為意願之優先課題。其他相關議題也加以討論。　　E-Learning becomes a popular learning or study way in recent years.The information system or platform is completely built by Yunlin County government under the guidance of Ministry of Education so that it is actively promoted in Yunlin County. Based on this, we try to investigate the adoption and influencing factors of e-Learning system for elementary school teachers in Yunlin County. That may be used as referred promotion or execution by the county government. To explore the possible influencing factors, we apply TAM to the research modeling. It consists of the behavioral intention(BI) as the result construct, coupled with the mediation construct of the perceived ease of use(PE) and perceived usefulness(PU) as well as the external construct of computer self-efficacy(CSE) reflecting general acceptance of the system. In addition, we consider that the greatest incentive for this system from the construct of computer course design(CCD) to reflect the course content and demand, forming the other external construct. To explore the various situations of behavioral intention, we go through questionnaire design and collection of survey data to do statistical analysis, and recover 144 valid questionnaires to estimate the path coefficient of this model. The results show that PU plays the most important factor to directly affect BI, and indirectly effected by PE which is the secondary. These results are consistent with those of many scholars found over the past years. As for the underlying cause of the BI, CSE also has an indirect influence and CCD is more important, indirect but significant impact. In addition, CCD is the significant and direct impact factor on PU. Therefore, these results reveal that the priority issue for behavioral intention is to design suitable contents, good themes, and friendly user interface. Related problems are also discussed.
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