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