TY - JOUR
T1 - University students’ behavioral intention and gender differences toward the acceptance of shifting regular field training courses to e-training courses
AU - Alghamdi, Abdullah M.
AU - Alsuhaymi, Dhaifallah S.
AU - Alghamdi, Fahad A.
AU - Farhan, Ahmed Mohamed
AU - Shehata, Saleh M.
AU - Sakoury, Mona Mostafa
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2022/1
Y1 - 2022/1
N2 - During the COVID-19 lockdown, all the courses at Imam Abdulrahman Bin Faisal University (IAU) were delivered fully online, including field-training courses. Since there was no previous experience in offering field-training courses in a distance format, the current study aims to identify factors that could impact students’ behavioral intention to accept the e-training approach in teaching field training courses at IAU. In order to gather the data, the researchers designed a questionnaire based on the UTAUT model and they ensured the face, content, and construct validity of the questionnaire by sending it to five experts in the relevant field and by using exploratory factor analysis. Also, all the questionnaire’s items were reliable since the Cronbach’s alpha values were above 0.77 for all the items. A total of 397 participants provided valid responses. The result of this study indicated that Effort Expectancy (EE), Facilitating Condition (FC), Performance Expectancy (PE), and Social Influence (SI), respectively were the primary predictors for students’ intention to use e-training. These factors explained 32.1% of the variance in students’ behavioral intentions. As far as students’ gender is concerned, there were significant differences between students’ PE, FC, and SI. Based on these results, policymakers at IAU will have a clear image of the most essential factors that colleges should target to increase students’ acceptance of e-training.
AB - During the COVID-19 lockdown, all the courses at Imam Abdulrahman Bin Faisal University (IAU) were delivered fully online, including field-training courses. Since there was no previous experience in offering field-training courses in a distance format, the current study aims to identify factors that could impact students’ behavioral intention to accept the e-training approach in teaching field training courses at IAU. In order to gather the data, the researchers designed a questionnaire based on the UTAUT model and they ensured the face, content, and construct validity of the questionnaire by sending it to five experts in the relevant field and by using exploratory factor analysis. Also, all the questionnaire’s items were reliable since the Cronbach’s alpha values were above 0.77 for all the items. A total of 397 participants provided valid responses. The result of this study indicated that Effort Expectancy (EE), Facilitating Condition (FC), Performance Expectancy (PE), and Social Influence (SI), respectively were the primary predictors for students’ intention to use e-training. These factors explained 32.1% of the variance in students’ behavioral intentions. As far as students’ gender is concerned, there were significant differences between students’ PE, FC, and SI. Based on these results, policymakers at IAU will have a clear image of the most essential factors that colleges should target to increase students’ acceptance of e-training.
KW - Acceptance model
KW - Distance
KW - E-Learning
KW - E-training
KW - Field Training Course
KW - learning
UR - https://www.scopus.com/pages/publications/85115092392
U2 - 10.1007/s10639-021-10701-1
DO - 10.1007/s10639-021-10701-1
M3 - Article
AN - SCOPUS:85115092392
SN - 1360-2357
VL - 27
SP - 451
EP - 468
JO - Education and Information Technologies
JF - Education and Information Technologies
IS - 1
ER -