Toward a Deeper
Understanding and Prediction of Achievement, Success,
Introduction. This project is focusing on the intensive analysis of the within class variation of individual achievement, attrition, and affective responses to online learning in a systematic sampling of the several types of courses offered by the Michigan Virtual High School. In addition to these analyses, building on ideas derived from Tufte's work on the visual display of quantitative data, we are attempting to go beyond the usual data analyses to explore ways of representing data in ways explicitly crafted to inform policy makers, teachers, students, and other stakeholders.
Beyond "No Significant Difference" or "Just as Good As". Cathy Cavanaugh: Meta-analysis.
Organizing Existing Data at MVHS.
Reviewing Literature on Data-Driven Decision Making. Informed, not driven.
Conceptualizing the Multiple Meanings of D3. So many terms, so many meanings.
Balanced Scorecard. The business world.
Markets, Different Audiences for D3.
Issue: Home Grown Solutions or Commercial Packages for D3? So many.
Designing for Communicating via the Web. Optimizing Value of Analyses.
What Data, What Decisions? Your examples?
Do You Use? Your experiences?
Email me: firstname.lastname@example.org