The effect of the COVID-19 pandemic crisis on the Jordanian higher education system.

This study investigates the impact of COVID-19 pandemic-induced E-learning in Jordanian higher education. Through a quantitative survey, the study analyzes the independent variables of system use and user satisfaction, finding that information quality and service quality significantly affect these variables and that user satisfaction notably impacts E-learning. System usage moderates these effects. This research comprehensively analyzes the effects of the COVID-19 epidemic on Jordanian higher education, focusing on E-learning. It shows how information, system, and service quality affect system use and user satisfaction. The study also emphasizes these aspects' importance in E-learning platform effectiveness. The study offers actionable insights and recommendations to help Jordan establish more resilient and effective educational policies and practices that can adjust to higher education shocks. The study recommends establishing a specialized department to modify student intention to use E-learning systems, not only during the pandemic crisis but also after-ward, to improve familiarity with E-learning tools. This study provides insights into the pandemic's impact on Jordan's higher education system and suggests future approaches to enhance E-learning platforms. It contributes to the development of effective E-learning systems that can improve higher education standards by pinpointing the key effects of the pandemic on the independent variables and offering workable solutions. The study emphasizes the importance of information and service quality in improving user satisfaction and system usage in E-learning

Significant effect of system quality and user satisfaction on E-learning.

Significant effect of system quality and user satisfaction on E-learning.</p

The moderating role between system quality, information quality, service quality, and E-learning.

The moderating role between system quality, information quality, service quality, and E-learning.</p

Path analysis for the first hypothesis of the study (H0_2).

Path analysis for the first hypothesis of the study (H0_2).</p

VIF of dimensions for independent variables and moderating variables.

VIF of dimensions for independent variables and moderating variables.</p

The research model.

This study investigates the impact of COVID-19 pandemic-induced E-learning in Jordanian higher education. Through a quantitative survey, the study analyzes the independent variables of system use and user satisfaction, finding that information quality and service quality significantly affect these variables and that user satisfaction notably impacts E-learning. System usage moderates these effects. This research comprehensively analyzes the effects of the COVID-19 epidemic on Jordanian higher education, focusing on E-learning. It shows how information, system, and service quality affect system use and user satisfaction. The study also emphasizes these aspects’ importance in E-learning platform effectiveness. The study offers actionable insights and recommendations to help Jordan establish more resilient and effective educational policies and practices that can adjust to higher education shocks. The study recommends establishing a specialized department to modify student intention to use E-learning systems, not only during the pandemic crisis but also after-ward, to improve familiarity with E-learning tools. This study provides insights into the pandemic’s impact on Jordan’s higher education system and suggests future approaches to enhance E-learning platforms. It contributes to the development of effective E-learning systems that can improve higher education standards by pinpointing the key effects of the pandemic on the independent variables and offering workable solutions. The study emphasizes the importance of information and service quality in improving user satisfaction and system usage in E-learning.</div

The results of statistical analysis for each statement.

The results of statistical analysis for each statement.</p

Path analysis for the first hypothesis of the study (H0_1).

Path analysis for the first hypothesis of the study (H0_1).</p

Factor analysis loadings for independent variables.

Factor analysis loadings for independent variables.</p

The E-learning dimensions and corresponding statements.

The E-learning dimensions and corresponding statements.</p