In educational contexts where many domains subject to improvement are interdependent and causal evidence is frequently lacking it is difficult, if not impossible, for policymakers and educational practitioners to decide which domain should be invested in. This paper proposes a new method that uses Conditional Mean Independent Correlations (CMIC)…

This report describes how big data and an evidence framework can align across five contexts of educational improvement. It explains that before working with big data, there is an important prerequisite: the proposed innovation should align with deeper learning objectives and should incorporate sound learning sciences principles. New curriculum…

This feasibility study contains a design for evaluating vocational education research and development (R & D). The study developed a model for evaluating vocational education R & D based on legislative frames of reference for research, exemplary projects, and curriculum development. Called an Impact Tracer Model, the program is based on…

Outlines the foundations of the qualitative and quantitative approaches to research and discusses the implications of these two completely different approaches in educational research. Points out they are not complementary as they are separate scientific paradigms.(MD)