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The ABS is investigating the potential development of an Australian Longitudinal Learning Database (ALLD). This is envisaged as an enduring researchable database of education and training data comprising enrolment, performance, and socio-demographic information drawn from a wide variety of sources. By focusing on students rather than institutions, the proposed ALLD could provide a comprehensive picture of education outcomes, pathways and transitions of students across education sectors. An integrated database of administrative, Census and survey data aims to allow new types of analysis which have the potential to improve education services and policy formation.
The ABS presented an initial business case entitled Improving Student Outcomes: Transforming Education Information in Australia to the Strategic Cross-sectoral Data Committee (SCDC) in March 2012. SCDC members supported the principle of data integration as a way of expanding the information base for education policy but reserved their position on the business case pending further consultation with relevant stakeholders. Throughout May and June 2012, feedback was sought on the business case from education and training data groups and consolidated feedback was provided to the SCDC in July 2012.
As requested by SCDC members, the ABS is currently preparing a revised business case for consideration at the February 2013 meeting. This business case will provide a range of options for improving the evidence base for education and training through data integration.
Meanwhile, we are continuing to undertake feasibility studies to test the ALLD concept, including the Census Education Quality Studies using school enrolments. These studies aim to explore the viability of the ALLD concept, and assist in determining the methodology and business rules for data linkage.
The ABS will continue to consult with relevant parties to investigate options for integration of education and training data.
See also: Concept Paper: Australian Longitudinal Learning Database (ALLD)
For more information, contact the National Information Referral Service on 1300 135 070 or email email@example.com
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