Introducing Automatic Verification Strategy in Online Study of Computational Science

Online study is a very powerful method for global education, as it is available anywhere for anyone with internet access. It is getting more and more important, especially during the pandemic. Computational science is relatively new but very important. It is considered as the third pillar for scientific research, which advances all sciences and technologies in a new dimension. More and more institutes offer online courses or programs in computational science. Unfortunately, almost no rigorous educational study was publicly available towards online computational science education. In this paper, the authors shall introduce a new Automatic Verification Strategy (AVS) in online study of computational science by using Sumudu transform as an example to undergraduate or graduate students in computational science related courses. AVS is a set of programs to provide interaction and verification during the learning process. AVS will reduce cognitive load and support both synchronous and asynchronous learning. Once the AVS is implemented, it is sustainable and can be used any number of times anywhere anytime, like students have private teachers helping them anytime anywhere. Type: Full / Regular Research Paper for CSCI-RTED