文献类型： 会议论文

第一作者： Jun Zhang

作者： Jun Zhang ¹ ; Ruzong Fan ² ; Fangyang Shen ³ ;

作者机构： 1.Department of Computer Science and Engineering Technology, University of Maryland Eastern Shore, Princess Anne, MD, USA

2.Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA

3.Dept. of Computer Systems Technology, New York City College of Technology, City University of New York, Brooklyn, NY, USA

关键词： Automatic programming;Scientific computing;Pandemics;Distance learning;Education;Transforms;Cognitive load

会议名称： International Conference on Computational Science and Computational Intelligence

主办单位：

页码： 1708-1713

摘要： 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

分类号： tp3-53