So that data standards, privacy, and personalization in the education and training space operate efficiently, effectively and equitably, NLET is working to ensure that they are as modern and easy to use as systems in the consumer space. NLET has chosen to concentrate its efforts to create opportunity in four areas: K12 Comparative Analytics, Open Math, Universal Transcripts, and Opportunity Data / Data Trust Networks.
NLET Builds Cross-Sector Networks to Impact Four Strategic Problems in Pre-K to Career
We believe that horizontal, comparative big data analysis and analytics will unlock good practice, zero-in on ineffective practice, help planning, determine ROI, and lower costs and the sharing of highly successful strategies. This will allow intervention scaling and transformation in a measurable open system.[more]
There are many solutions from portfolios to blockchain to competency transcripts, but what is clear is that students and jobseekers need a secure place where they can manage both formal and informal education, training and employment records, along with other relevant experience that would not be on a traditional transcript, including a social channel.[more]
We believe that math equality and access to scholastic and academic success, as well as ultimate economic success, rests on equitable instruction and learning math as a keystone aspect of education. Our strategic approach to math is its personalization, the use of progression by standards, both in and out of school. [more]
NLET and a handful of partners have been addressing the data-sharing and regional opportunity modeling of real time and longitudinal data from institutions, agencies, and organization addressing the continuum from Pre-K to Career. Many institutions, agencies, foundations and programs assist students in their journey; we intend to ensure they are connected. [more]