The Evaluation of Students' Perception of E-learning in Higher Education

Nowadays, with the progress of society, especially in recent years with the emergence and development of artificial intelligence, technology and the Internet have been integrated into every aspect of people's lives. In the education industry, there are also the emergence of products combining these technologies, such as webcasting classes, e-libraries, e-learning videos, e-learning APPs and so on, and E-learning system is the collective name of these products.

Since the COVID-19 outbreak, students across the globe have had to be quarantined at home, which has resulted in no way for them to get to the classroom and learn as they used to. However, it is this situation that has led to the rapid development of e-learning systems. Teachers are using live webcasts to deliver lessons to their students, schools are developing apps specifically designed to aid learning, posting e-learning videos on the web, simulating experiments on the web, and so on. Undoubtedly, e-learning systems are a good solution to the problem of geographical restrictions. However, because there is no way for teachers to grasp the learning status of students in real time as they can in the classroom, e-learning systems have still aroused the concern of many people.

Therefore, this project was to investigate the perceptions of university students who have been exposed to e-learning systems about e-learning systems. The project was able to examine the perceptions of e-learning systems among different groups of students by gender, age, year of study and study mode. At the same time, the project categorized the factors affecting e-learning systems into five factors: Autonomy Factor, Problem-solving Factor, Multimedia Factor, Teacher Factor and Student Factor. In this study, questionnaire was used to collect data. 120 questionnaires were received. Based on the results of the survey, the project will analyze the correlation between these factors and the relationship between these factors and demographic information. These results will be useful for educational institutions or individuals to improve e-learning systems in the future.

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