Knowledge tracing (KT) is a popular approach for modeling students' learning progress over
time, which can enable more personalized and adaptive learning. However, existing KT …

In the current digital era, the proliferation of online content has overwhelmed users with vast
amounts of information, necessitating effective filtering mechanisms. Recommender systems …

Accurate forecasting of the EUR/USD exchange rate is crucial for investors, businesses, and
policymakers. This paper proposes a novel framework, IUS, that integrates unstructured …

Tagging knowledge concepts for course problems is essential for intelligent tutoring
systems. Traditional manual tagging methods, usually performed by domain experts, are …

Recent advances in large language models (LLMs) have led to the development of artificial
intelligence (AI)-powered tutoring chatbots, showing promise in providing broad access to …