STATE K-14 DATA / COMPARATIVE ANALYSIS
CompareK12 is intended to be a cloud-based system with Web and app components for big data processing of K12 data.
Addressing a Core K12 Data Problem
We believe that horizontal, comparative big data analysis and analytics will unlock good practice, zero-in on ineffective practice, determine ROI, and lower costs of highly successful strategies. This will allow intervention scaling and transformation in measurable open systems.
School, district, and state data reports are primarily based on two data sources: (a) state compliance data, district demographic and performance statistics, and summative test results, (b) school-level quiz and formative test data. These data do not report on products and services efficacy at a school district level, curricular approaches or what interventions work or not. Nor do they, or can they, be used to perform comparative analyses between districts and schools at a high level of integrity.
NLET is not interested in student-level data with this current project. NLET is aware of the problematic approach In-Bloom took, the need for security, and IRBs. However, NLET and its partners are committed to equity, privacy, and security.
Update: CompareK12: Cross-Sector Network Team Being Assembled
We anticipate that this tool will become part of standard practice for teacher and school base research for improvement, parent and researcher investigations, and state awards.
NLET believes K12 communities are best served by being able to conduct comparative investigations in real time, get output metrics, and construct reports on the fly between schools and districts, as well as comparing products, services, and interventions between schools and districts.
To carry out this initial pilot work, NLET has assembled a growing cross-sector team with considerable data, administrative, assessment, and teaching expertise to assemble a system that can be used for practical correlations and for causal investigations analytics and active measurement across multiple education entities using similar and different instruments.
The data standards, meta-tagging to standards, and ability to work with API’s is essential to CompareK12 as these data will also form longitudinal comparisons into higher education and the labor and workforce markets.