The Access 4 Learning (A4L) Community has continued to have phenomenal leadership over the past year. The leadership, guidance and overall dedication to the Community prove critical to our collective successes… it is hard to believe that it is time for elections again! Nominations for the North American Management Board and At-Large Technical Board will be available from March 30 – April 20, 2023 (inclusive).
The National Center for Education Statistics is pleased to announce the release of Common Education Data Standards (CEDS) Version 11
The Access 4 Learning® (A4L) Community is proud to announce the latest release of the Unity Specification which has enhanced and optimized many features including Grade Passback, standards-based grading, and EDFacts reporting.
On September 9, 2022, the North American Management Board (NAMB) approved the SIF Data Model Implementation Specification (North America) 4.3 – also known as Unity – for A4L Community Review.
Data access today is critical as major decisions on policy development, funding, program impact, and an array of other “data driven, time sensitive decisions”. This is all dependent on having access to the right data at the right time. Layer on top of this is the need for control by the appropriate data stewards in the sectors the data is held within – privacy and security layers!
An open letter from the Student Data Privacy Consortium in response to the FTC Policy Statement on Education Technology and the Children’s Online Privacy Protection Act
The Access 4 Learning (A4L) Community in North America is proud to announce the North American Management and Technical Boards for 2022.
Nominations for the North American Management Board and At-Large Technical Board will be available from March 8-29, 2022 (inclusive).
The Access 4 Learning (A4L) Community in North America is proud to announce the North American Management and Technical Boards for 2021.
The Access 4 Learning® (A4L) Community is proud to announce the latest release of the new Unity Specification which provides standardization of learning data, ranging from everything from classroom rostering to federal data reporting, while addressing privacy issues throughout the education data continuum.
