Administrators selecting educational technology programs for their schools or districts face big decisions due to the time and money at stake, so having accurate and relevant information about the programs’ impact on student performance elsewhere should be a critical part of the decision-making process. During a recent edWebinar sponsored by MIND Research Institute, Andrew Coulson, Chief Data Science Officer at MIND Research Institute, and Brian LeTendre, Director of Content and Communications, explained a process for finding data that will help administrators make the best choices for their student population, and in doing so “raise expectations about the availability of information” during program evaluations.
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In this edWebinar, Mr. Coulson will cover how researchers can look for consistent patterns over multiple years, across grade levels, and especially across different types of districts and assessments.