" Automated scoring engines [...] require a careful balancing of the contributions of
technology, NLP, psychometrics, artificial intelligence, and the learning sciences. The …

The role of digital technology in assessment has received a great deal of attention in recent
years. Naturally, technology offers many practical benefits, such as increased efficiency with …

We present a neural network approach to the automated assessment of non-native
spontaneous speech in a listen and speak task. An attention-based Long Short-Term …

We address the task of automatically grading the language proficiency of spontaneous
speech based on textual features from automatic speech recognition transcripts. Motivated …

Automatic Speech Scoring (ASS) is the computer-assisted evaluation of a candidate's
speaking proficiency in a language. ASS systems face many challenges like open grammar …

Deep learning (DL)-based approaches, such as LSTM and Transformer, have shown
remarkable advancements in automated speaking assessment (ASA). Nevertheless, two …

To validly assess teachers' pedagogical content knowledge (PCK), performance-based
tasks with open-response formats are required. Automated scoring is considered an …

We consider the automatic scoring of a task for which both the content of the response as
well its spoken fluency are important. We combine features from a text-only content scoring …

In this study, we develop content features for an automated scoring system of non-native
English speakers' spontaneous speech. The features calculate the lexical similarity between …

This study aims to develop automatic models to provide accurate and actionable diagnostic
feedback within the context of spoken language learning and assessment, in particular …