The massive adoption of artificial intelligence has opened up the opportunity for a range of
intelligent technologies that can support education. Empowering instructors with tools able …

Blended courses that mix in-person instruction with online platforms are increasingly
common in secondary education. These platforms record a rich amount of data on students' …

Following the start of the pandemic, online synchronous learning has grown significantly.
The higher education sector is searching for new creative ways to provide the information …

In this work, we present (1) a methodology for collecting, evaluating, and utilizing human-
annotated data about course syllabi in predictive models of student success, and (2) an …

Lack of student persistence and retention is significantly hurting the US in producing the
required number of qualified graduates, especially in STEM fields. Although many factors …

Students' success is the ultimate goal of any institution around the world. Early detection of
at-risk students can facilitate the instructor or tutor to provide timely support to those at risk of …

Detecting abnormal behaviors of students in time and providing personalized intervention
and guidance at the early stage is important in educational management. Academic …

Abstract Student Performance Prediction (SPP) models and tools are useful for quickly
identifying at-risk students in online courses and enable the provision of personalized …

The open learning platform (open. uom. lk) of the University of Moratuwa, Sri Lanka has
attracted over 180,000 registered students in just over one year of its launch. This platform …

Synchronous online learning has become a trend in recent years. However, instructors often
face the challenge of inferring audiences' reactions and learning status without seeing their …