R

Learning Analytics: Is Underrepresented Students Group Performing Well?

1. Learning Analytics Learning analytics is a computational approach analyzing large-sized students’ learning and education data. It became pretty much popular as the online learning and digitized school administrative platforms produce an infinite stream of students’ data daily.

Analyzing Nested Data: Comparing Multiple Approaches

1. What is Nested Data Not all data is created to be independent. We often find that the real world data does not meet the strict statistical presumption that each observation should be independent and identically distributed, so-called iid.

Student contact network at school: Spread of the virus

By Byoung-gyu Gong  Pandemic and School Reopening Issue With an outbreak of the COVID-19 pandemic, there is increasing attention to the school closer issue. Many countries implemented a strict lock-down to slow down the spread of the virus, but this came at the expense of losing our children’s learning opportunity.

Temporal network simulation: Albert-Barabasi model

By Byoung-gyu Gong Theory Albert-Barabasi model is well-known network generation method, adding new vertices at each time steps. The connections added to the existing vertices at each time are proportional to the degree of the given vertice.