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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Title: Task-technology Fit Aware Expectation-confirmation Model towards Understanding of MOOCs Continued Usage Intention
Authors: Ouyang, Yuanxin
Tang, Cui
Rong, Wenge
Zhang, Long
Yin, Chuantao
show 1 moreXiong, Zhang
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Keywords: Continuance intention
Expectation-confirmation model
MOOCs platform
Task-technology fit
Student
Issue Date: 04 Jan 2017
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.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41170
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.020
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Advances in Teaching and Learning Minitrack



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