Intelligent tutoring systems (ITSs) that imitate human tutors and aim to provide immediate
and customized instructions or feedback to learners have shown their effectiveness in …

This work proposes a novel framework for automatically scor-ing children's oral narrative
language abilities. We use audio recordings from 3rd-8th graders of the Atlanta, Georgia …

The automatic fluency assessment of spontaneous speech without reference text is a
challenging task that heavily depends on the accuracy of automatic speech recognition …

Large language models (LLMs), renowned for their powerful conversational abilities, are
widely recognized as exceptional tools in the field of education, particularly in the context of …

Speech evaluation measures a learner's oral proficiency using automatic models. Corpora
for training such models often pose sparsity challenges given that there often is limited …

Spoken Language Assessment (SLA) is a subjective task, where different human raters
often assign differing scores for the same input. It also often has a bounded score range …

The potential of speech technology to improve educational outcomes has been a topic of
great interest in recent years. For example, automatic speech recognition (ASR) systems …