Factors Impacting on Satisfaction and Continuance Intention of English Literature Students on the Use of Cloud-based E-learning in Ningxia, China
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Purpose: This study examines factors impacting the satisfaction and continuance intention of college students majoring in English literature on the use of cloud-based e-learning in Ningxia, China. The key variables involve task-technology fit, learning-technology fit, interactivity, course content quality, course design quality, organizational support, perceived usefulness, satisfaction and continuance intention. Research design, data, and methodology: This study was quantitatively conducted by sampling and distributing questionnaires to English literature students from three universities in Ningxia for quantitative research. The data results were analyzed, and the conceptual model was validated using CFA and SEM. Results: It was found that satisfaction was the strongest predictor of continuance intention, followed by perceived usefulness. All antecedents showed significant and positive effects on satisfaction and perceived usefulness. However, there was no correlation between perceived usefulness and satisfaction. Conclusion: Achieving and improving the satisfaction of students by paying to be fully aware of the interactivity, course content quality, and course content quality to use of cloud-based e-learning is the priority for developers, administrators, and teachers. Apart from this, the cloud-based e-learning adopted by the college needs to be responsive, novel, have enough interaction, and be relevant to their studies.
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