Graph neural networks (GNN) are vital for analyzing real-world problems (e.g., network analysis, drug interaction, electronic design automation, e-commerce) that use graph models. However, efficient GNN acceleration faces with multiple challenges related to high and variable sparsity of input feature vectors, power-law degree distribution in the…

Middle school students need to know about energy concepts and how they can reduce their energy use. New energy-monitoring tools provide powerful opportunities for students to engage in authentic investigations rich in the science practices described in "A Framework for K-12 Science Education" (NRC 2012), while at the same time advancing their…

As anyone who has taught or taken a statistics course knows, statistical calculations can be tedious and error-prone, with the details of a calculation sometimes distracting students from understanding the larger concepts. Traditional statistics courses typically use scientific calculators, which can relieve some of the tedium and errors but…

This paper examines the technological affordances of the visualiser, and what teachers actually do with it in the primary (elementary) classroom, followed by an investigation into one example of teaching and learning with this whole-class technology. A visualiser is a digital display device. Connected to a data projector, whatever is in view of…