Self-regulated learning (SRL) encompasses cognitive, metacognitive, and motivational learning strategies and is highly relevant for academic achievement. A
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Several models have been developed to aid quality improvement in organisations, such as the plan-do-check-act (PDCA) cycle, which provides a framework for achieving continuous quality improvement [3]. Nonetheless, it remains a challenge to determine how outcome data can be effectively utilized to...
And then you talk to these kids senior year, and you say, “What’s it been like? How often do you get into Boston?” And they say, “Oh yeah, Boston! I should really go there sometime!” You know, because we are a very self-contained, self-sufficient community here now. So ...
One possible criterion to judge the outcome of a feature subset selection is how much the selection depends on the training set. The Stability estimator runs the feature selection on different subsamples. It then computes the cumulative ...
Using descriptive norm appeals effectively to promote green behavior. J. Bus. Res. 82, 179–191 (2018). Article Google Scholar Chorus, C., Molin, E. & Van Wee, B. Use and effects of Advanced Traveller Information Services (ATIS): a review of the literature. Transp. Rev. 26, 127–...
How motivated individuals are to learn a new foraging skill may depend on their (a) current competency, (b) hunger level, (c) the impact that food resources have on their fitness, or (d) their competitive ability. For example, it is thought that juveniles may be motivated to learn foragi...
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(i.e., effectively self-regulate) are more likely to use more effortful (and, thus, more effective) learning strategies (e.g., self-testing) than their counterparts who struggle with their self-regulation. For example, in a new conceptual model, de Bruin and colleagues (2023) proposed ...
ArticleGoogle Scholar Corbett, A. T. & Anderson, J. R. Knowledge tracing: Modeling the acquisition of procedural knowledge.User Model. User Adapt. Interact.4, 253–278 (1994). ArticleGoogle Scholar Piech, C.et al.Deep knowledge tracing. InAdvances in Neural Information Processing Systems(eds ...