ABSTRACT
The COVID-19 pandemic has forced universities to make a radical switch from face-to-face traditional teaching (TT) to completely online learning (OL). Thus, many studies proposed the proper OL environment for a specific subject and evaluated its effectiveness. However, few studies have empirically compared the proposed OL environment with TT to determine which has better learning effectiveness. More importantly, an OL environment and the self-regulated learning (SRL) ability of a student interactively influence the student's learning effectiveness. However, few studies have investigated how an OL environment influences the learning behaviours of the students with different SRL abilities. Thus, the aims of this study were to compare the adopted hybrid OL environment with TT and examine how the hybrid OL environment individually influences students with different SRL levels. This study has three significant findings. First, students have better participation rate and work quality in the OL than in TT. Second, the high-SRL and middle-SRL students have higher work quality under the OL than under TT, while the middle-SRL and low-SRL students have higher participation rates under the OL than under TT. Third, while students overall do not particularly favour OL or TT, the middle-SRL students particularly prefer OL. Implications for practice or policy • Educators could consider hybrid OL on software practice courses (e.g., Microsoft Office) and programming courses during the COVID-19 pandemic, because most students benefit more from OL than from TT. • Educators could provide proper assistance for the low-SRL students under the hybrid OL, which could enhance their learning. • Educators in a TT environment could consider giving students more private space to reduce disturbances, which could particularly benefit introverted students with high-SRL and middle-SRL. © Articles published in the Australasian Journal of Educational Technology (AJET) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant AJET right of first publication under CC BY-NC-ND 4.0.
ABSTRACT
COVID-19 developed into an extremely serious pandemic by the middle of 2020. It has caused enormous negative impacts such as a crush to the global market. In this study, we tested the correlation between COVID-19 and stock market in a more intuitive way with the COVID-19 transmission rate and recovery rate. They were generated by using Unscented Kalman Filter method incorporated with SEIR model. Since the Unscented Kalman Filter method analyzes data at daily intervals, we can study the trend of COVID-19 development and the fund index rate change in detail.