Scottish FE Sector Management Information Systems Integration Options

Scottish FE Sector Management Information Systems Integration Options
November 2013 – February 2014 Cetis was commissioned to undertake technical modelling work of the role of existing and currently developing Management Information Systems (MIS) deployments and to consider alternative future deployments, together with their advantages and disadvantages. This work identified existing and alternative models of operation, including a central software service given the changing context as Scottish FE transitions from 41 instit...

LRMI (Learning Resource Metadata Initiative)

LRMI (Learning Resource Metadata Initiative)
January – October 2014 In early 2014 Cetis was commissioned by Creative Commons to help manage the third phase of the Learning Resource Metadata Initiative project (LRMI). The initiative, which builds on the work of Schema.org, aims to support the discovery of relevant education resources on the web. LMRI is funded by the Bill & Melinda Gates Foundation, and jointly lead by Creative Commons and the Association of American Publishers with the aim of ma...

HEDIIP New Subject Coding Project

HEDIIP New Subject Coding Project
June 2014 - July 2106 Subject coding is one of the key building blocks of student data that ought to have sector-wide and consistent applicability. The current method of classifying subjects is based on a scheme known as the Joint Academic Coding System (JACS). JACS has been in use for a number of years and now requires a major review. Cetis is undertaking a project to develop a replacement for the JACS system which meets the needs of a broader group of ...

Learning Analytics Community Exchange (LACE) Project

Learning Analytics Community Exchange (LACE) Project
January 2014 The Learning Analytics Community Exchange is an EU project in the 7th Framework Programme involving nine partners across Europe which started in 2014. LACE partners are passionate about the opportunities afforded by current and future views of learning analytics (LA) and educational data mining (EDM) but are concerned about missed opportunities, undesirable consequences of mis-application, investment funding failing to realise value, market f...