Quantum mechanics

Path analysis (statistics)

Philosophy

Male gender

Statistics

Explanatory model

Power (physics)

Computer science

Coronavirus disease 2019 (COVID-19)

Physics

Psychology

Mathematics

Political science

Epistemology

Infectious disease (medical specialty)

Internal medicine

Blackboard (design pattern)

Medicine

Programming language

Medical education

Explanatory power

Disease

Higher education

Pathology

Sustainability

Despite a plethora of research on students’ experiences of electronic (e) learning amid COVID-19 in higher education institutions (HEI), limited research has recognized the differences between students based on their gender. This research aims to examine the differences between students regarding their e-learning experiences amid COVID-19, especially in a gender-segregated culture where female students do not have full access to conventional learning as their male counterparts do, albeit they often have more access to technology-based learning. A total of 1200 online questionnaires were analyzed from students (600 male and 600 female) in public universities in Saudi Arabia, which tend to use Blackboard to sustain their communication with students and e-learning amid COVID-19. The results of structural model and multi-group analysis using AMOS supported all the research hypotheses. The results showed that the path coefficients and significant values were higher among female students than among male students. Additionally, the explanatory power of the male structural model regarding the e-learning experience (0.58) was lower than that of the structural model of female students (0.85), reflecting a higher explanatory power to explain the e-learning experience. The research findings have numerous theoretical and practical implications, especially in gender-segregated cultures.

E-Learning Experience in Higher Education amid COVID-19: Does Gender Really Matter in A Gender-Segregated Culture?