Stefan Slater

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On-demand help in intelligent learning environments is typically linked to better learning, but may lead to longer completion times. This present work provides an analysis of how students interacted with a summer learning assignment when on-demand help was available, compared to when it was not. When hints were available from the start, students were more(More)
Student knowledge modeling is an important part of modern personalized learning systems, but typically relies upon valid models of the structure of the content and skill in a domain. These models are often developed through expert tagging of skills to items. However, content creators in crowdsourced personalized learning systems often lack the time (and(More)
The creation of crowd-sourced content in learning systems is a powerful method for adapting learning systems to the needs of a range of teachers in a range of domains, but the quality of this content can vary. This study explores linguistic differences in teacher-created problem content in ASSISTments using a combination of discovery with models and(More)
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