Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41170

Task-technology Fit Aware Expectation-confirmation Model towards Understanding of MOOCs Continued Usage Intention

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dc.contributor.author Ouyang, Yuanxin
dc.contributor.author Tang, Cui
dc.contributor.author Rong, Wenge
dc.contributor.author Zhang, Long
dc.contributor.author Yin, Chuantao
dc.contributor.author Xiong, Zhang
dc.date.accessioned 2016-12-29T00:09:49Z
dc.date.available 2016-12-29T00:09:49Z
dc.date.issued 2017-01-04
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri http://hdl.handle.net/10125/41170
dc.description.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.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Continuance intention
dc.subject Expectation-confirmation model
dc.subject MOOCs platform
dc.subject Task-technology fit
dc.subject Student
dc.title Task-technology Fit Aware Expectation-confirmation Model towards Understanding of MOOCs Continued Usage Intention
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2017.020
Appears in Collections: Advances in Teaching and Learning Minitrack


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