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…

Objective: To determine whether differences in nutrition knowledge affected how women (a high-involvement group) interpreted intrinsic cues (ingredient list) and extrinsic cues ("all natural" label) on food labels. Methods: A 2 (intrinsic cue) x 2 (extrinsic cue) x 2 (nutrition knowledge expert vs novice) within-subject factorial design…

Purpose: This study examined whether experienced speech-language pathologists (SLPs) differ from inexperienced people in their perception of phonetic detail in children's speech. Method: Twenty-one experienced SLPs and 21 inexperienced listeners participated in a series of tasks in which they used a visual-analog scale (VAS) to rate children's…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…