Data Analytics for Student Profiling and Academic Counselling

Abstract


 
 
 Data analytics can be used by universitiesstudent and learning data. By leveraging on data analytics and dashboards, universities and schools can become more proactive in profiling students and anticipating their needs, personalizing approaches to supporting students in academic distress and optimizing the allocation of university’s resources to efficiently and effectively counsel these students. In this paper, we outline the analytics framework that can be used on student data to derive insights, to readily observe and predict the students’ academic progression and performance, to characterise the academic risk of the student, and to identify the at-risk students at an early stage. With the early alert system in place, these students can then be counselled and rendered student support to be lifted out of the at-risk zone.
 
 

Revisiting English language proficiency and its impact on the academic performance of domestic university students in Singapore

“…To date, there are six public universities in Singapore and most international students are concentrated in the National University of Singapore (NUS), Nanyang Technological University (NTU), and Singapore Management University (SMU). The remaining three universities-Singapore University of Technology and Design (SUTD), Singapore Institute of Technology (SIT), and Singapore University of Social Sciences (SUSS)-receive students that are mostly domestic (Li et al, 2019).…”