Base on human-computer interaction perspective to analyze the factors of Technology Acceptance Model on IRSSP for Taiwan recommendatory admission

The study purpose is aimed to explore the impact factors of Perceived Ease of Use, Perceived Usefulness, and Attitude toward Using in Technology Acceptance Model on internal rating system for star plan in Taiwan based on the perspective of Human-Computer Interaction. A twenty-six-item questionnaire was developed according to literature review. Path analysis approach was employed for data analysis. Total 235 valid samples were selected from senior high school student at three grades. The convenience sampling strategy was implemented. The result support our hypothesis that Human-Computer Interaction can predict Perceived Usefulness (β=0.253; p<;0.01), Perceived Ease of Use (β=0.160; p<;0.01), and Attitude Toward Using (β=0.258; p<;0.01) positively, meanwhile, Perceived Ease of Use can predict Perceived Usefulness (β=0.220; p<;0.05) and Perceived Usefulness can predict Perceived Ease of Use (β=0.112; p<;0.05), moreover, Perceived Ease of Use (β = 0.254; p<;0.05) and Perceived Usefulness (β=0.716; p=0.000) can predict Attitude Toward Using. Conclusions and suggestions were made dependent on our research findings.