Extending the Task-Technology Fit Model in an E-Collaborative English Learning Context

被引:1
|
作者
Chen, Wentao [1 ]
Zhang, Jinyu [1 ]
Yu, Zhonggen [2 ]
机构
[1] Zhejiang Yuexiu Univ, Shaoxing, Zhejiang, Peoples R China
[2] Beijing Language & Culture Univ, Fac Foreign Studies, Dept English Studies, Beijing, Peoples R China
关键词
E-Collaborative English Learning; Goodness of Fit; Superstar Learning System; Task-Technology Fit Model; WORLD-WIDE-WEB; CONTINUANCE INTENTION; SUCCESS MODEL; INFORMATION; ACCEPTANCE; USAGE; SYSTEMS; TTF; COMPATIBILITY; ADOPTION;
D O I
10.4018/IJeC.305233
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Superstar Learning System is a popular e-collaborative learning app especially in English reading learning. This study randomly selected 2061 out of around 2500 students in a public university. Through a large-scale questionnaire survey and some semi-structured in-depth interviews, the study collected plentiful data to extending the task-technology fit model in an e-collaborative English learning context. It is concluded that in an e-collaborative English learning context (a) system quality, information quality, service quality, compatibility, actual usage, and user satisfaction exert a significant influence on TTF at the significance level .05 in an e-collaborative English learning context; (b) TTF exerts a significant influence on performance impact at the significance level .05; and (c) significant correlations are revealed between system quality, information quality, service quality, compatibility, actual use, user satisfaction, and TTF at the significance level .05. This study initiates the model extension, which is beneficial to researchers and practitioners.
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页数:1
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