Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…

Software is an integral part of our lives. It controls the cars we drive every day, the ships we send into space, and even our toasters. It is everywhere and we can easily download more. Software solves many real-world problems and satisfies many needs. Thus, unsurprisingly, there is a rising demand for software engineers to maintain existing…

Although feedback is often seen as a critical component of the learning process, many open questions about how specific feedback features contribute to the effectiveness of feedback remain--especially in regards to peer feedback of writing. Nelson and Schunn (2009) identified several important features of peer feedback in their nature of feedback…

Effectively exploring the efficacy of synchronous computer-mediated communication (SCMC) for pedagogical purposes can be achieved through the careful investigation of potentially beneficial, inherent attributes of SCMC. This study provides empirical evidence for the capacity of task-based SCMC to draw learner attention to linguistic forms by…

This paper reports on a small-scale study into the effects of uncoded correction (writing the correct forms above each error) and coded annotations (writing symbols that encourage learners to self-correct) on Colombian university-level EFL learners' written work. The study finds that while both coded annotations and uncoded correction appear to…

The Java Intelligent Tutoring System (JITS) research project explored the power of a new approach to supporting beginner Java programming students. Using Java's grammar as the core of its production rule base, JITS is embedded with extra functionality to detect, predict and correct lexicographical errors in students' code. This additional…

It has been argued that languaging plays a crucial role in learning a second language (L2). The effects of languaging, especially oral languaging (e.g., collaborative dialogue, private speech), have been tested on the learning of L2 knowledge domains. This study explored the effects of written languaging by asking 24 Japanese learners of English…

This study explores the relationship between scrolling, negotiated interaction, and self-initiated self-repair (SISR) in a task-based synchronous computer-mediated communication (SCMC) foreign language learning environment. Pairs of adult learners of German engaged in four jigsaw tasks over the course of one university semester. Video screen…