A hybrid modeling approach for predicting the educational use of mobile cloud computing services in higher education
作者：
Highlights：
• Educational use of the MCC services in the higher education was investigated.
• A hybrid modeling approach combining both machine learning and SEM was employed.
• The structural model explained 59% of the variance in the behavioral intentions.
• Students' information management practices were associated with the attitudes.
• OneR algorithm predicted the behavioral intentions with an accuracy of 74%.
摘要
•Educational use of the MCC services in the higher education was investigated.•A hybrid modeling approach combining both machine learning and SEM was employed.•The structural model explained 59% of the variance in the behavioral intentions.•Students' information management practices were associated with the attitudes.•OneR algorithm predicted the behavioral intentions with an accuracy of 74%.
论文关键词：Information management,Cloud computing,Artificial intelligence,Machine learning
论文评审过程：Received 20 January 2018, Revised 16 August 2018, Accepted 10 September 2018, Available online 11 September 2018, Version of Record 14 September 2018.
论文官网地址：https://doi.org/10.1016/j.chb.2018.09.005
