This presentation explores whether teams can develop a common “recipe” that can be implemented across digital learning platforms to measure engagement.
The work focuses on cross-team analysis of double number line activities across Amplify and Carnegie Learning’s MATHia platform, including how student agency, optional tasks, self-reported sentiment, text responses, and platform activity data can provide signals of engagement.
The presentation also examines whether platform data can help identify meaningful signals for future study, including how optional student text and prior performance may improve predictions of student sentiment and performance.
The project highlights practical lessons about data instrumentation, cross-platform comparison, and collaboration across digital learning platform teams.