Hybrid SEM-ANN model for predicting undergraduates’ e-learning continuance intention based on perceived educational and emotional support

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Bibliographische Detailangaben
Veröffentlicht in:	PLoS One vol. 19, no. 12 (Dec 2024), p. e0308630
1. Verfasser:	Xu, Shanshan
Weitere Verfasser:	Wang, Yangxin, Luo, Wenbo
Veröffentlicht:	Public Library of Science
Schlagworte:	Teaching Lifelong learning College students Artificial neural networks Multilayer perceptrons Neural networks Technology Emotional support Educational technology University students Influence Distance learning Teachers Colleges & universities Emotions Data processing Social support Social networks Hypotheses Online instruction Sustainable development Technology Acceptance Model Self-efficacy Learning Satisfaction Higher education Success School environment Structural equation modeling Quality of education Feedback Students Computer assisted instruction > CAI Educational research Classrooms Technology assessment Social interaction Dynamic structural analysis Information systems Literature reviews Nonlinear dynamics Usefulness Cultural factors Undergraduate students Internet Cultural differences Social
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