本研究以人機互動與科技接受模型建構「繁星校內線上預選系統」使用者行為的特徵模型。並探討就一般普通高中學生使用「繁星校內線上預選系統」的行為，討論人機互動、科技接受程度和使用滿意度之現況和差異性分析，並且驗證實驗假設之徑路顯著性。本研究工具有「繁星校內線上預選系統」平台以及「繁星校內線上預選系統科技接受問卷」。分別對臺灣五間一般高中學校的高三學生實測，以立意抽樣的方式進行問卷調查，有效樣本共298人。最後本研究依研究目的和實驗假設驗證所需，分別以描述性統計、獨立樣本t考驗、單因子變異數分析、皮爾森積差相關與多元迴歸進行資料分析。
資料分析結果中發現：除了「版面差異性」未達同意程度外，其它構面皆達同意程度。差異性中發現「系統操作時數」背景變項在「知覺有用」構面上，3到4小時好於2到3小時；「系統操作時數」背景變項在「行為傾向」構面上，多於6小時好於少於1小時。各構面呈現高度相關，且各構面徑路除「版面差異性」、「色彩豐富性」、「設計精緻性」對「知覺易用」及「色彩豐富性」對「知覺有用」未達顯著水準外，其它徑路皆達顯著水準，符合研究假設之正向可預測性。依據研究發現所作成之結論與建議，將提供為相關研究者與單位參考。

The Human-Computer Interaction (HCI) and Technology Acceptance Model (TAM) had been employed as theoretical research foundation in this study to construct the specified user behavior model of “Internal Rating System for Stars Program (IRSSP)”. The researcher studied the user behavior of academic high school student who used IRRSP System as research sample. The comparison analysis was conducted to explore the discrepancy of Human-Computer Interaction, Technology Acceptance Level, and user satisfaction towered Internal Rating System for Stars Program. Further, the researcher tested the hypotheses through path analysis. The “Internal Rating System for Stars Program” and a developed “Inventory of IRSSP Technology Acceptance” were applied for investigations. There were 298 valid samples from third grade students of five high schools based on judgmental sampling. A statistical process was applied to deal with the research data such as descriptive statistic, one-sample t-test, independent sample t-test, one way ANOVA, Pearson Correlation, and multiple regressions.

The result shows that all factors were reached agreement level significantly except “Diversity”. Meanwhile, the agreements level of the users’ system operation from 3 to 4 hours was significant higher than that of the users’ system operation from 2 to 3 hours in “Perceived Usefulness” of the System Operation Time variable. The agreement level of the users’ system operation more than 6 hours was significant higher than the users’ system operation less than 1 hour of the System Operation Time variable. High correlation appeared among factors and the path analysis result demonstrated that hypotheses had been proved that independent variables can predict dependent variable positively except “Diversity”, “Colorfulness”, and “Craftsmanship” to “Perceived Ease of Use”; and “Colorfulness” to “Perceived Usefulness” did not reach significant level. The result supported the research hypotyeres. The Conclusions and auggestions derived from the research findings can serue as references for related researchers and organizations.

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