Using the technology acceptance model to understand behavioral intentions in the use of a human computer interface (hci) system

• Autores: Wen-Jye Shyr, Chi-Feng Feng, Po-Wen Liu, Tsung-Lin Chiang, Te-Jen Su
• Localización: The International journal of engineering education, ISSN-e 0949-149X, Vol. 33, no. 1 (Parte A), 2017, págs. 121-127
• Idioma: inglés
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• Resumen

  • Thisstudypresents the technologyacceptancemodel toassist universitiesin predicting the behavioral intentionsassociatedwith the use of a human computer interface system for learning. A total of 41 students responded to a survey following thecompletion of an eight-week teaching course. Data were collected to examine the path relationships among all variables(perceived usefulness, perceived ease of use, attitude toward use, and behavioral intention to use) influencing theacceptance of the system learning. The partial least squares method was used to test the measurement and the structuralmodel. Path analysis verified that acceptance of the human computer interface system was directly influenced by thelearner’s ‘‘attitude toward use’’ and ‘‘perceived usefulness.’’ Rich content and the ease of use should be the focus whendesigning systems for university students, due to their effects on the behavioral intentions of students.