Extensive literature in artificial intelligence in education focuses on developing automated methods for detecting cases in which students struggle to master content while working with educational software. Such cases have often been called "wheel-spinning," "unproductive persistence," or "unproductive struggle." We…

Studies examining students' achievement goals, cognitive engagement strategies and performance have found that achievement goals tend to predict classes of cognitive strategy use which predict performance on measures of learning. These studies have led to deeper theoretical understanding, but their reliance on self-report data limit the…

The purpose of this study was to examine the effects of self-evaluative standards and graphed feedback on calibration accuracy and performance in mathematics. Specifically, we explored the influence of mastery learning standards as opposed to social comparison standards as well as of individual feedback as opposed to social comparison feedback. 90…

As a maladaptive behavioural outcome, procrastination should correlate with beliefs about ability and achievement goals that are themselves relatively maladaptive. Accordingly, procrastination should be predicted by entity as opposed to incremental implicit theories (i.e., viewing attributes such as ability as relatively fixed vs. malleable,…

This study examined the relationship of motivational climate and differential achievement goals to meta-cognitive self-regulation, regulation of effort, help-seeking and self-handicapping in physical education (PE). The sample consisted of 273 pupils (boys n = 125; girls n = 148) attending 10th grade PE classes in Norway. Both motivational…