在COVID-19疫情的影響之下,快速地推進了學校和教育機構促使學生在學習方式上轉向使用數位學習(E-Learning),以確保學生的學習不受干擾,這使得數位學習的發展和應用更加迫切和重要。因此,瞭解學生對數位學習的使用意圖與對學習成效的影響,已然成為當前教育領域的一大研究熱點。本研究將擴展延伸型整合科技接受模式(UTAUT2)模型,結合電腦自我效能(CSE)、任務科技適配(TTF)與學習成效(LE),透過該研究架構來預測解釋那些因素會影響技能訓練學生對數位學習使用意圖,以及數位學習使用意圖是否會影響學習成效。研究對象為台灣中部地區具有數位學習經驗之技能訓練學生,採取實體與網路進行問卷發放,共計回收有效問卷303份。統計方法使用敘述性統計、相關分析與結構方程式(SEM)進行分析。研究結果顯示:(1)績效期望(PE)、社群影響(SI)、習慣(HT)、享樂動機(HM)與任務科技適配度(TTF)為影響學生對數位學習使用之行為意圖(BI)之重要因素;(2)數位學習使用之行為意圖對學習成效呈現顯著正向影響。研究結果將可提供教育界在瞭解學生對數位學習使用意圖與學習成效之重要參考。
During the COVID-19 pandemic, schools and educational institutions rapidly transitioned to e-learning to ensure uninterrupted learning for students. Consequently, the development and application of digital learning have become increasingly important. Thus, understanding students' behavioral intentions (BI) to use e-learning and the impact it has on their learning outcomes has become a significant research focus in the educational field.This study extended the unified theory of acceptance and use of technology model (UTAUT2) by integrating computer self-efficacy (CSE), task technology fit (TTF), and learning effectiveness (LE). The primary objective of the research framework was to predict and explain the factors influencing the BI of skill-training students to use e-learning while also examining whether this intention affects their learning outcomes. The study targeted skill-training students in the central region of Taiwan with e-learning experience. To gather data, physical and online questionnaires were distributed, yielding 303 valid responses. The collected data were analyzed using descriptive statistics, correlation analysis, and structural equation modeling (SEM).The research findings reveal the following: (1) performance expectancy (PE), social influence (SI), habit (HT), hedonic motivation (HM), and task technology fit (TTF) significantly influence students' BI to use e-learning; (2) the BI of using e-learning had a significant positive impact on learning effectiveness. The results of this study provide valuable insights for the education community to understand the importance of students' BI to use e-learning and its influence on learning outcomes.