Transformer architectures contribute to managing long-term dependencies for natural
language processing, representing one of the most recent changes in the field. These …

Personalized education, tailored to individual student needs, leverages educational
technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness …

Students learn more from doing activities and practicing their skills on assessments, yet it
can be challenging and time consuming to generate such practice opportunities. In our work …

Students learn more from doing activities and practicing their skills on assessments, yet it
can be challenging and time consuming to generate such practice opportunities. In this …

The focus of our work is on diagnostic tasks in personalized learning, such as cognitive
diagnosis and knowledge tracing. The goal of these tasks is to assess students' latent …

Massive open online courses (MOOCs), which offer open access and widespread interactive
participation through the internet, are quickly becoming the preferred method for online and …

The exponential growth of Massive Open Online Courses (MOOCs) surges the needs of
advanced models for personalized Online Education Services (OES). Existing solutions …

Personalized learning paths aim to save learning time and improve learning achievements
by providing the most appropriate learning sequence for heterogeneous students. Most …

Personalized learner modeling using cognitive diagnosis (CD), which aims to model
learners' cognitive states by diagnosing learner traits from behavioral data, is a fundamental …

Teaching assistants have played essential roles in the long history of education. However,
few MOOC platforms are providing human or virtual teaching assistants to support learning …