@inproceedings{2bec01d86f454e88bb47fb634ef383dc,
title = "Task-technology fit aware expectation-confirmation model towards understanding of MOOCs continued usage",
abstract = "Massive Open Online Courses (MOOCs) have been playing a pivotal role among the latest e-learning initiative and obtain widespread popularity in many universities. But the low course completion rate and the high midway dropout rate of students have puzzled some researchers and designers of MOOCs. Therefore, it is important to explore the factors affecting students' continuance intention to use MOOCs. This study integrates task-technology fit which can explain how the characteristics of task and technology affect the outcome of technology utilization into expectation-confirmation model to analyze the factors influencing students' keeping using MOOCs and the relationships of constructs in the model, then it will also extend our understandings of continuance intention about MOOCs. We analyze and study 234 respondents, and results reveal that perceived usefulness, satisfaction and task-technology fit are important precedents of the intention to continue using MOOCs. Researchers and designers of MOOCs may obtain further insight in continuance intention about MOOCs.",
author = "Yuanxin Ouyang and Cui Tang and Wenge Rong and Long Zhang and Chuantao Yin and Zhang Xiong",
note = "Publisher Copyright: {\textcopyright} 2017 Proceedings of the Annual Hawaii International Conference on System Sciences. All rights reserved.; 50th Annual Hawaii International Conference on System Sciences, HICSS 2017 ; Conference date: 03-01-2017 Through 07-01-2017",
year = "2017",
language = "英语",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "IEEE Computer Society",
pages = "174--183",
editor = "Bui, \{Tung X.\} and Ralph Sprague",
booktitle = "Proceedings of the 50th Annual Hawaii International Conference on System Sciences, HICSS 2017",
address = "美国",
}