Abstract

Linear algebra is one of the core subjects for the majors in emerging technologies such as data science, artificial intelligence, robotics and computer graphics. Various solutions had been designed to effectively teach the essence of linear algebra. Teaching such a subject is regarded as a challenging task due to a lack of visualization tools that addresses the essence of linear algebra. In this paper, we analyse the state of technologies used in learning foundation linear algebra course. We analyse features, issues, challenges and review learning material and technology illustrated in the research papers that appear on this issue published from 1993 through 2018. Through this paper, we identify areas for potential research on teaching and learning for current applications in this increasingly important field. This article highlights some of the overall findings of this research concerning student's understanding of these concepts and also areas for future research into the development of application in teaching and learning linear algebra.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.