Automated question quality rating (AQQR) aims to evaluate through computational means, thereby addressing emerging challenges in online learnersourced repositories. Existing methods for AQQR rely solely on explicitly-defined criteria such as readability and word count, while not fully utilising the power of state-of-the-art deep-learning techniques. We propose DeepQR, a novel neural-network mod...