Task-technology fit and user adoption of cloud-based collaborative learning technologies

Abstract

Trend of a new generation of students towards collaborative learning as well as significant characteristics of cloud computing technology have changed the world of teaching and learning. This paper reported the results of a survey study and provided evidence of testing Task-Technology Fit (TTF) model in understanding the factors that play significant roles in predicting student adoption of cloud-based collaborative learning technologies in university settings. Therefore, based on purposive sampling, questionnaires were distributed to target population. The results indicated that task non-routineness has negative influence on Task-Technology Fit (TTF). However, inconsistent with past studies, task Interdependence positively influences Task-Technology Fit (TTF). Significant effect of Mobility and Personalization and collaboration as technology characteristics were observed on Task-Technology Fit (TTF). Finally, as expected significant relationships between Task-Technology Fit (TTF) and User Adoption were also found. Overall, Users' adoption of cloud-based collaborative learning technologies was determined directly by fit between characteristics of task and technology.