A personalized e-learning system is effective in imparting enhanced learning to its users. As
compared to a conventional e-learning system, which provides similar contents to each …

The advent of Large Language Models (LLMs) has brought in a new era of possibilities in
the realm of education. This survey paper summarizes the various technologies of LLMs in …

Abstract “Knowledge tracing (KT)” is an emerging and popular research topic in the field of
online education that seeks to assess students' mastery of a concept based on their …

The education sector has benefited enormously through integrating digital technology driven
tools and platforms. In recent years, artificial intelligence based methods are being …

Online education platforms, leveraging the internet to distribute education resources, seek to
provide convenient education but often fall short in real-time communication with students …

Abstract Knowledge tracing (KT) is the task of using students' historical learning interaction
data to model their knowledge mastery over time so as to make predictions on their future …

Abstract Knowledge tracing is a crucial component of intelligent educational systems and
deep learning technologies have significantly propelled its advancement. However, most …

In this paper, we present a novel approach for distilling math word problem solving
capabilities from large language models (LLMs) into smaller, more efficient student models …

This paper reviews the integration of Q‐learning with meta‐heuristic algorithms (QLMA) over
the last 20 years, highlighting its success in solving complex optimization problems. We …

Artificial intelligence has the potential to revolutionize education by providing personalized
learning experiences that support the dream of “teaching students according to their …