Abstract
This study presents the technology acceptance model to assist universities in predicting the behavioral intentions associated with the use of a human computer interface system for learning. A total of 41 students responded to a survey following the completion 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 the acceptance of the system learning. The partial least squares method was used to test the measurement and the structural model. Path analysis verified that acceptance of the human computer interface system was directly influenced by the learner's "attitude toward use" and "perceived usefulness." Rich content and the ease of use should be the focus when designing systems for university students, due to their effects on the behavioral intentions of students.
| Original language | English |
|---|---|
| Pages (from-to) | 121-127 |
| Number of pages | 7 |
| Journal | International Journal of Engineering Education |
| Volume | 33 |
| Issue number | 1 |
| Publication status | Published - 2017 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Education
- Engineering(all)
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Using the technology acceptance model to understand behavioral intentions in the use of a human computer interface (HCI) system. / Shyr, Wen Jye; Feng, Chi Feng; Liu, Po Wen; Chiang, Tsung Lin; Su, Te Jen.
In: International Journal of Engineering Education, Vol. 33, No. 1, 01.01.2017, p. 121-127.Research output: Contribution to journal › Article
TY - JOUR
T1 - Using the technology acceptance model to understand behavioral intentions in the use of a human computer interface (HCI) system
AU - Shyr, Wen Jye
AU - Feng, Chi Feng
AU - Liu, Po Wen
AU - Chiang, Tsung Lin
AU - Su, Te Jen
PY - 2017/1/1
Y1 - 2017/1/1
N2 - This study presents the technology acceptance model to assist universities in predicting the behavioral intentions associated with the use of a human computer interface system for learning. A total of 41 students responded to a survey following the completion 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 the acceptance of the system learning. The partial least squares method was used to test the measurement and the structural model. Path analysis verified that acceptance of the human computer interface system was directly influenced by the learner's "attitude toward use" and "perceived usefulness." Rich content and the ease of use should be the focus when designing systems for university students, due to their effects on the behavioral intentions of students.
AB - This study presents the technology acceptance model to assist universities in predicting the behavioral intentions associated with the use of a human computer interface system for learning. A total of 41 students responded to a survey following the completion 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 the acceptance of the system learning. The partial least squares method was used to test the measurement and the structural model. Path analysis verified that acceptance of the human computer interface system was directly influenced by the learner's "attitude toward use" and "perceived usefulness." Rich content and the ease of use should be the focus when designing systems for university students, due to their effects on the behavioral intentions of students.
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M3 - Article
AN - SCOPUS:85015150208
VL - 33
SP - 121
EP - 127
JO - International Journal of Engineering Education
JF - International Journal of Engineering Education
SN - 0949-149X
IS - 1
ER -