A study on the effectiveness of digital learning and teaching systems: A case study of public and private universities during the covid-19 pandemic

Abstract

The objectives of this research are: 1) to examine the factors influencing the effectiveness of digital technology-based teaching and learning in Thai universities, and 2) to propose policy and practical recommendations for digital learning systems in both public and private universities. The study employs a mixed-methods approach, combining both qualitative and quantitative research. The population and sample consist of 388 university students. The research tools include questionnaires, and the statistical analysis methods used are descriptive statistics, such as percentage, mean (x ?), standard deviation (S.D.), and inferential statistics through multiple regression analysis. The findings reveal that the factors related to digital technology-based teaching and learning, including learner and instructor aspects, system quality, and information quality, accounted for 70.9% (R = .709) of the effectiveness and explained 50.3% (R² = .503) of online learning outcomes during the COVID-19 pandemic. The multiple regression coefficient (beta) shows that information quality (0.284), system quality (0.224), and learner and instructor factors (0.192) significantly influence the use of online systems at the 0.05 significance level. The study recommends that the government establish key policies for public and private higher education institutions in order to enhance and develop stable teaching and learning platforms. This would maximize the effectiveness of digital technology-based learning outcomes in the modern era. Additionally, it suggests developing new teaching platforms for the new generation of students and equipping both instructors and learners with the necessary skills and knowledge to utilize innovative online learning applications currently used as educational tools in both public and private universities.