TY - JOUR
T1 - Investigating the adoption and impact of e-learning in KSA
T2 - Prince Sattam bin Abdulaziz university case study
AU - Ahmed, Tarig Mohamed
AU - Seliaman, Mohamed E.
N1 - Publisher Copyright:
© 2005 – ongoing JATIT & LLS.
PY - 2017
Y1 - 2017
N2 - The kingdom of Saudi Arabia has given high priorities to the use of ICT to enhance teaching and learning processes in national institutes of higher education. E-learning has recently received intensive research attention. This research aims to identify the predictors of learners’ continuance intention to use E-learning systems in the Kingdom of Saudi Arabia based on the Unified Theory of Acceptance and Use of Technology (UTAUT), DeLone and McLean IS success model and the Technology Fit Model. The survey questionnaire measurement tool used included 34 items forming twelve latent variables. Based on the SEM analysis, fourteen out of seventeen research hypotheses were supported leaving three hypotheses not supported in this research. Study results show that the most significant the predictors of learners’ continuance intention to use E-learning systems are Perceived Benefits, Perceived Satisfaction and Academic Motivation. The influence of each of Task-technology fit, Performance expectancy, Knowledge Quality and Information Quality on user’s Perceived Satisfaction with using E- learning systems was also significant.
AB - The kingdom of Saudi Arabia has given high priorities to the use of ICT to enhance teaching and learning processes in national institutes of higher education. E-learning has recently received intensive research attention. This research aims to identify the predictors of learners’ continuance intention to use E-learning systems in the Kingdom of Saudi Arabia based on the Unified Theory of Acceptance and Use of Technology (UTAUT), DeLone and McLean IS success model and the Technology Fit Model. The survey questionnaire measurement tool used included 34 items forming twelve latent variables. Based on the SEM analysis, fourteen out of seventeen research hypotheses were supported leaving three hypotheses not supported in this research. Study results show that the most significant the predictors of learners’ continuance intention to use E-learning systems are Perceived Benefits, Perceived Satisfaction and Academic Motivation. The influence of each of Task-technology fit, Performance expectancy, Knowledge Quality and Information Quality on user’s Perceived Satisfaction with using E- learning systems was also significant.
KW - E-learning systems
KW - Technology acceptance model
UR - https://www.scopus.com/pages/publications/85020906956
M3 - Article
AN - SCOPUS:85020906956
SN - 1992-8645
VL - 95
SP - 2610
EP - 2618
JO - Journal of Theoretical and Applied Information Technology
JF - Journal of Theoretical and Applied Information Technology
IS - 11
ER -