Contributed Paper C180
How Data Science can improve Statistics teaching in Thailand
AuthorsPhattrawan Tongkumchum (Thailand)
Apiradee Lim (Thailand)
Don McNeil (Thailand)
PresenterPhattrawan Tongkumchum (Thailand)
In Thailand, Statistics is taught largely as a component of Mathematics. This focus has led to over-emphasis on abstract theory at the expense of practical data-based applications and resulted in high university drop-out in science and technology faculties and poorly trained graduates in disciplines that require evidence-based thinking such as economics, medicine and science. We argue that current developments in Data Science provide opportunities to rectify these problems. These developments include improved Internet search capability, free availability of remote sensing data from earth-orbiting satellites, machine learning algorithms, and improved ability to carry out thought experiments using both real and simulated data. Concrete examples are presented illustrating how these concepts can be implemented in a one-semester first-year university unit designed for students in all faculties.