Reproducible Computing: a new Technology for Statistics Education and Educational Research

作者: Patrick Wessa , Sio-Iong Ao

DOI: 10.1063/1.3146201

关键词: Data scienceMeasure (data warehouse)Word processingProcess (engineering)Empirical researchComputational statisticsEducational researchStatistics educationCompendiumComputer science

摘要: This paper explains how the R Framework (http://www.wessa.net) and a newly developed Compendium Platform (http://www.freestatistics.org) allow us to create, use, maintain documents that contain empirical research results which can be recomputed reused in derived work. It is illustrated this technological innovation used create educational applications shown support effective learning of statistics associated analytical skills. explained created by anyone, without need understand technicalities scientific word processing (LATEX) or statistical computing (R code). The proposed Reproducible Computing system allows researchers objectively measure key aspects actual process based on individual constructivist activities such as: peer review, collaboration research, computational experimentation, etc. was implemented tested three courses use Compendia an interactive e‐learning environment simulated real‐world research.This Comp...

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