Abstract:
his paper examines factors that predict students' continual usage intention of web-based learning content management systems in Tanzania, with a specific focus at Muhimbili University of Health and Allied Science (MUHAS). This study sent a questionnaire surveys to 408 first year undergraduate students, with a rate of return of 66.7This study adapted the information system success (ISS) model, and it used structural equation modelling (SEM) for data analysis. The results show that quality-related factors (instructor and system) were a key predictor of perceived usefulness and user satisfaction, and that information quality was found to significantly affect perceived usefulness. Further, perceived usefulness was a key determinant of user satisfaction, which in turn predicted continual usage intention of students within the e-learning system under the analysis. The researcher's paper is among the few exploratory studies that examines constructs of IS success model in the e-learning systems in sub-Saharan Africa, and Tanzania in particular, and presents e-learning success factors that should be of value to higher learning institutions management, e-learning systems designers and providers, and instructors when planning and implementing e-learning projects in the region and beyond.