Education must follow the principle of teaching students in accordance with their aptitude. In this paper, we propose a novel method to generate personalized knowledge graphs based on graph convolutional network. We have summarized methods evaluating difficulty exercises, and apply them generation graph. After that, adjacency matrix corresponding eigenvectors nodes are used as inputs network, s...

The Jukebox model can generate high-diversity music within a single system, which is achieved by using hierarchical VQ-VAE architecture to compress audio in discrete space at different compression levels. Even though the results are impressive, inference stage tremendously slow. To address this issue, we propose Fast Jukebox, uses knowledge distillation strategies reduce number of parameters pr...

We introduce the concept of Procedural Content Generation via Knowledge Transformation (PCG-KT), a new lens and framework for characterizing PCG methods approaches in which content generation is enabled by process knowledge transformation -- transforming derived from one domain order to apply it another. Our work motivated substantial number recent works that focus on generating novel repurposi...

Most managers seem to believe that younger generations will be more responsive to new technologies, yet evidence to support this view is mainly anecdotal. This paper uses survey data to examine attitudes about knowledge management (KM) and collaboration. While generational cohorts do account for some differences, this study finds that well-documented inhibitors, such as lack of management suppo...