Adult, Vocational and Community-based Learning

Budget, Neighbourhood House Week and ALA conference updates — ACE News, 15 May 2017

In this week's news, check out the implications of recent Federal and state budgets for refugees, mature aged workers and apprentices, celebrations of Neighbourhood House Week and international news on the British Labour Party's commitment to lifelong learning and adult education. We've also included updates on our not-to-be-missed national conference on the transformative power of lifelong learning which coincides with MONA's winter festival Dark Mofo.

CR&DALL Themes: 

ELOA 2017 - call for papers

This year the ELOA conference is being co-hosted by Leeds Beckett University, School of Film, Music and Performing Arts and the Association for Education and Ageing.

The first call for papers is featured below and attached. Please consider submitting a paper or workshop proposals.

IDENTITY, VOICE, CREATIVITY, ACTION! Older people learning creatively for creativity, finding a ‘voice’ and taking action.
9 - 11 November 2017
Leeds, UK

European Society for Research on the Education of Adults (ESREA)

CR&DALL Themes: 

YOUNG_ADULLLT

YOUNG_ADULLLT is designed as a mixed-method comparative study on Austria, Bulgaria, Croatia, Finland, Italy, Germany, Portugal, Spain, and the United Kingdom and focuses on LLL policies for young adults – particularly those in ‘vulnerable’ positions – with the aim to critically analyse current developments of LLL policies in Europe. It is funded within the EC's Horizon 2020 programme within SSH - Young 3, and is led by the University of Münster in Germany. 

Research Associate: Educational Disadvantage and Place, School of Education/Urban Big Data Centre, University of Glasgow

Job Purpose: To make a leading contribution to the project Educational Disadvantage and Place within the Education programme of the ESRC-funded Urban Big Data Centre. Specifically, the job requires expert knowledge in the area of educational disadvantage and/or urban neighbourhoods, and strong proven skills in the quantitative analysis of large data sets.

CR&DALL Themes: 

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