With the popularity of online learning in educational settings, knowledge tracing (KT) plays
an increasingly significant role. The task of KT is to help students learn more effectively by …

Abstract Knowledge tracing (KT) aims to monitor students' evolving knowledge states
through their learning interactions with concept-related questions, and can be indirectly …

Predicting student performance in the future is a crucial behavior prediction problem in
education. By predicting student performance, educational experts can provide …

Social recommendation systems leverage user–item interaction and user–user social
network data to model user preferences and provide recommendations. Previous research …

Psychologists are emphasizing the importance of predictive conclusions. Machine learning
methods, such as supervised neural networks, have been used in psychological studies as …

In the realm of intelligent education, which is crucial for fostering sustainable student growth,
predicting student performance stands out as a pivotal element. At its heart, the challenge of …

Top-k algorithms are essential in various applications, from high-performance computing
and information retrieval to big data and neural network model training. This paper …

Various studies that evaluate and predict dropout in universities have been published.
However, few refer to the relationship between the entry profile and a successful academic …

Abstract Knowledge tracing is effective in modeling learners' knowledge levels to predict
future answering situations based on their past learning history and interaction processes …

PREDICTING ACEDEMIC PERFORMANCE OF HIGHER EDUCATION STUDENTS BASED ON
THEIR POTENTIAL INTENTION AND BEHAVIOUR ANALYSIS USING AI Page 1 P age | 1 …