Analytical models developed in offline settings with pre-prepared data are typically used to
predict students' performance. However, when data are available over time, this learning …

One of the main concerns in online learning environments is the identification of students
with learning difficulties. Conventionally, analytical models trained offline on pre-prepared …

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 …

Education is necessary to improve an individuals' life with quality and brilliance. The
education system has changed from conventional Teaching/Learning to activity based …

Predicting student performance is crucial for both preventing failure and enabling
personalized teaching-and-learning strategies. The digitalization of educational institutions …

Improving the quality, developing and implementing systems that can provide advantages to
students, and predicting students' success during the term, at the end of the term, or in the …

Developing tools to support students and learning in a traditional or online setting is a
significant task in today's educational environment. The initial steps towards enabling such …

The importance of retention rate for higher education institutions has encouraged data
analysts to present various methods to predict at-risk students. Their objective is to provide …

Predicting student performance has attracted significant research interest in recent years,
owing primarily to its potential benefits to both students, in terms of improving outcomes and …

Performance prediction is a leading topic in learning analytics research due to its potential to
impact all tiers of education. This study proposes a novel predictive modeling method to …