NLET believes the component areas that need particular R & D revolve around six core areas where modernization, data, and cultural shifts are necessary: Learner ownership of learning; smart-secure cloud operations; equality of access; data science in K-Career data; curricular tools, particularly longitudinal ones in math; and the alignment of training, people, and jobs.
NLET’s Historical Research is Concentrated in Six Underlying Areas of R & D
Universal transcriptions, competency record keeping, badge management. Eventually every student has to be the center of learning.
The largest transformation in education, training, and service delivery will be when students, parents and mentors have all the data, all the recommendations, and the access to resources and support they need. Our intention is to help develop tools for individuals.Learn more
By families to schools, training organizations, and service agencies managed by end-user mobile tools. Access to multiple services and data is a must.
Families with children in school and receiving multiple services from other agencies do not have a way to manage those interactions. The agencies and school districts are on different data systems. NLET is pioneering the concept of regional data trusts.Learn more
Development of math and computer science tools for success. Math and Programming are on our minds.
There are tremendous areas of weakness in curriculum and instruction that can be assisted by better, smarter tools for learning, especially in math, science, and English. NLET is focused on how math and programming can enter mainstream curriculum.Learn more
The Cloud Infrastructure
Open content, open assessment and analytics, privacy (FERPA, COPPA), security, and universal standards and protocols. Cloud as a public learning infrastructure.
Schools, colleges, and service agencies are stuck in older non-cloud-based technologies and data systems that cannot support rich, smart interactions to make learning, training, and service delivery work better. We are working with secure providers on this key issue.Learn more
Big data, analytics, and visualizations available for all users and all roles. Education is in dire need of Data Science.
Data science is prevalent in consumer commerce, social media, and business, but is missing in education, training, and social services. There are no human capital tools in these sectors that are common in every day life. NLET is active on many different levels to gain insights about these sectors.Learn more
Technology development, standards, and solutions for workforce training. Closing the skills training gap is key for the economy.
Skill-based, occupational training carried out in high schools and community colleges badly lags behind changing employer needs. Many jobs go unfilled. NLET is working on social technology to help align training programs, employer, and jobseeker needs.Learn more