EARLI - Centre for Excellence in Research
In order to foster existing and forge new research contacts, the Executive Committee (EC) of EARLI launched an initiative called "EARLI - Centre for Innovative Research (E-CIR)", which aimed at further stimulating innovative research among EARLI members and preparing research proposals for funding.
Supporting researchers remains a key priority for the EARLI Executive Committee. Since the E-CIR was launched in 2013, new research funding initiatives have been developed. The newly-developed Emerging Field Group initiative which was launched last year aims to support, much like E-CIR, innovative research in the field of learning and instruction. Keeping the needs of the EARLI community in mind and offering diversity in the EARLI initiatives, the EC has decided to slightly re-focus the E-CIR initiative.
From 2019 onwards, E-CIR, Centre for Innovative Research will change to E-CER, EARLI Centre for Excellence in Research, to emphasise excellence and scientific rigour in the field of learning and instruction. Along with the name change, some application requirements have been updated to increase eligibility for EARLI members.
The E-CER initiative is aimed to stimulate excellence in research in an international context. By organising two meetings each year for a periode of four years, these small, focused groups of max. 10 people can acquire knowledge and have opportunities to share their findings at the biennial EARLI Conference.
The call for the E-CER grant 2023 was launched in March 2022 and is now closed. For more information on the policy, click here.
Click on the title to find out more about the E-CIR or E-CER groups and its members:
(starting date: 01/01/2023)
In Search of the "Good Teacher"
Measuring and supporting students' self-regulated learning in adaptive educational technologies
Check out our former E-CIR groups. Click on the title to find out more about each E-CIR, its members and accomplishments.
Wim Van Dooren
Ages for learning and growth: Sociocultural perspectives (AGILE)
Michèle Grossen, Tania Zittoun and Aleksander Baucal
Supporting Learning from Animation