Most existing educational games cannot compete with their non-educational counterparts in terms of visual and narrative quality, gameplay, or adaptability. Amongst the most advanc...
Michael D. Kickmeier-Rust, Cord Hockemeyer, Dietri...
This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use ...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...
We describe our work on seeding and building a developmental learning community for recruiting and retaining women in educational programs and careers related to computing and inf...
Mary Beth Rosson, Hansa Sinha, Dejin Zhao, John M....
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Abstract— Over the years, many improvements and refinements of the backpropagation learning algorithm have been reported. In this paper, a new adaptive penalty-based learning ex...