The Factors Affecting Students’ Online Learning Outcomes during the COVID-19 Pandemic: A Bayesian Exploratory Factor Analysis

Table 7

Factors affecting students’ online learning outcomes during the COVID-19 pandemic.

Code	Explanation	Factor	Coefficient	Hypothesis
EOU1	Online learning software is easy to use	Ease of use	0.150	H1 accepted
EOU2	Online learning software is easy to understand
EOU3	Online learning software is flexible
EOU4	Online learning software comes with a support team when needed
PU1	Using E-learning makes learning easier	Perceived usefulness	0.290	H2 accepted
PU2	Using E-learning saves time
PU3	Using E-learning saves costs
PU4	Using E-learning creates more learning excitement
FC1	Appropriate teaching methods	Faculty capacity	0.098	H3 accepted
FC2	Ability to apply science and technology
FC3	Ability to form and combine different ideas and practices
FC4	Professional competence
CC1	Course content at the suitability level	Course content	0.215	H4 accepted
CC2	Diverse learning and supporting materials
CC3	Innovative and updated subject content
CC4	Practical and comprehensive subject content and structure
CD1	Appropriate course design structure and interface	Course design	0.150	H5 accepted
CD2	Flexible time schedule
CD3	Appropriate testing and evaluation methods
CD4	Convenient exchange forums
LC1	Social interaction with lecturers and collaborative interaction with co-learners	Learner characteristics	0.296	H6 accepted
LC2	Quick adaptability to changes
LC3	Proactiveness and self-study ability
LC4	Sense of regulatory compliance