Item Response Theory (IRT) is a ubiquitous model for understanding humans based on their responses to questions, used in fields as diverse as education, medicine and psychology. Large modern datasets offer opportunities to capture more nuances in human behavior, potentially improving test scoring and better informing public policy. Yet larger…

For many people, mobile phones are a part of modern life. Although the purpose of this technology revolves around language and communication, its application to language learning still appears to be underutilized. This is changing, as the widespread use of this handheld technology offers numerous opportunities to use functions that are ideal for…

This article describes a study that investigates learner responses to three distinct types of corrective feedback for misspellings produced by English learners of German. Twenty-eight beginner and intermediate students used an online parser-based system for German that recorded student interaction with the software over 15 weeks. The study…

How does a computer analyze the appropriateness of a language student's response? Issues arising in the development and use of language-learning software are discussed. (MSE)