The ability of children to ask curiosity-driven questions is an important skill that helps
improve their learning. For this reason, previous research has explored designing specific …

Advances in natural language processing (NLP) and educational technology, as well as the
availability of unprecedented amounts of educationally-relevant text and speech data, have …

Knowledge graphs (KGs) are widely used in the education domain to offer learners a
semantic representation of domain concepts from educational content and their relations …

There has been a significant increase in academic processes to ensure the quality of
educational resources such as curricula, examinations, and educational content. This has …

In this paper, we describe the process we used to debug a crowdsourced labeling task with
low inter-rater agreement. In the labeling task, the workers' subjective judgment was used to …

The automatic identification of core concepts addressed by a learning resource is an
important task in favor of organizing content for educational purposes and for the next …

Epistemic curiosity—the desire to actively seek information for its inherent pleasure—is a
complex phenomenon extensively studied across various domains. Several researchers in …

Automation of teaching tasks is a contemporary approach to decrease the high workload of
the instructors who teach courses with a large number of students. To identify the processes …

Short snippets of written text play a central role in our day-to-day communication—SMS and
email messages, news headlines, tweets, and image captions are some of the many forms …

The rapid rate of improvement of natural language processing (NLP) systems and large
language models (LLMs) begets a wide array of applications in the field of education and …