This article introduces a new approach to statistics education thatallows us to accurately measure and control key aspects of thecomputations and communication processes that are involved innon-rote learning within the pedagogical paradigm of Constructivism.The solution that is presented relies on a newly developedtechnology (hosted at www.freestatistics.org) and computingframework (hosted at www.wessa.net) that supports reproducibilityand reusability of statistical research results that are presentedin a so-called Compendium. Reproducible computing leads toresponsible learning behaviour, and a stream of high-qualitycommunications that emerges when students are engaged in peer reviewactivities. More importantly, the proposed solution provides aseries of objective measurements of actual learning processes thatare otherwise unobservable. A comparison between actual and reporteddata, demonstrates that reported learning process measurements arehighly misleading in unexpected ways. However, reproduciblecomputing and objective measurements of actual learning behaviour,reveal important guidelines that allow us to improve theeffectiveness of learning and the e-learning system.

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