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This paper lays out the current landscape of tools used in statisticseducation. In particular, it considers graphing calculators, spreadsheets,applets and microworlds, standalone educational software, statisticalprogramming tools, tools for reproducible research and bespoke tools. Thestrengths and weaknesses of the tools are considered, particularly in thecontext of McNamara (2016)'s list of attributes for a statistical computingtool. Best practices for computing in introductory statistics are suggested.

On the State of Computing in Statistics Education: Tools for Learning and for Doing