Ten practices with real evidence of helping students finish college, set against seven things AI can do. Each cell shows the initiatives we found where a practice and an AI capability meet. Three views share one set of filters: the matrix, a chain from student need to measured result, and the direct connections around any one funder, initiative, practice or institution.
We update this atlas continuously through the ECMC Foundation engagement. Every record opens a side panel with links to the public sources behind it.
From need to result
Start with the problem (the outcome), then the practices with evidence for it, then the AI capabilities in play, the initiatives, who pays for them, and finally what has actually been measured. Every tile opens a side panel with its records and public links. The chain only runs through records on this site.
Connections
Pick one and see its immediate connections: who it funds or is funded by, what it implements, where it runs, what it measures, and the other funders it shares grantees, people or pools with. Every item opens a side panel with public links. We show direct connections only; drawing the whole field as a network would imply relationships the records do not support.
