Measuring the moderating effect of gender and age on E-learning acceptance in England: A structural equation modeling approach for an extended Technology Acceptance Model

Social Sciences

• Technology Acceptance Model 100%
• Determinants 66%
• Self-Efficacy 66%
• Student Learning 66%
• Reliability 33%
• Factor Analysis 33%
• Electronic Learning 33%
• Social Norms 33%

Computer Science

• e-learning 100%
• Structural Equation 40%
• Affecting Factor 40%
• Behavioral Intention 40%
• Learning Systems 20%
• Learning Experiences 20%
• Learning Technology 20%
• User Acceptance 20%
• e-learning Systems 20%

Psychology

• Reliability 33%
• Factor Analysis 33%
• Practitioners 33%
• Social Norm 33%