HRD monitoring and assessment tools and their relevance for linking up national progress to European benchmarks 1st meeting of the policy working group on VET Turin, 16-17 June 2014 Cristina Mereuta, ETF
Overview on monitoring and progress assessment tools EU & ET 2020 SEE 2020 Bruges Process Torino Process Education and training benchmarks Joint Assessment Paper Annual monitoring and assessment EU Member States Governance and monitoring mechanism HRD targets in line with regional priorities and consistent with EU goals (Smart Growth Pillar Dimension D. Education and Competences and Inclusive Growth Pillar) A vision for VET (initial and continuous) Progress reporting on strategic objectives and short term deliverables (e.g. quality, accessibility, flexibility) EU Member States and Candidate Countries Evidence-based analysis of VET policies Analytical Framework VET analysis (qualitative and quantitative evidence) ETF Partner Countries
Joint Assessment Framework Education and Training Joint Assessment Framework (JAF) the monitoring tool for the Europe 2020 strategy ensure a consistent and transparent assessment of progress across Member States and provides basis for country specific recommendations Education and Training Monitor - annual report - progress on the EU 2020 headline targets, ET 2020 benchmarks and core indicators Early school leavers and tertiary education attainment; Early childhood education and care; Low achievers in basic skills (15 years olds and adults) Adult participation in lifelong learning Learning mobility Employment rate of recent graduates Foreign language skills; digital competences; entrepreneurial competences Investment in education and training Vocational education and training Skills for future labour market EU comparative performance analysis Member States performance analysis
EU 2020 Target - Share of early school leavers: below 10% (%, age group 18-24) Early leavers from education and training 50 40 32.8 39.6 30 20 10 12.8 12 12.5 5.5 9.1 10.5 10.5 9.7 11.4 24.9 11.6 4.2 17.6 11.4 10.5 6.5 8.1 11.5 22.6 8.8 7.6 5.7 20.8 17.4 4.4 5.3 8.9 7.5 13.5 11.7 8.5 0 Source: Eurostat and National Statistical Offices (Enlargement Countries), 2013. Notes:* 2010 data; ** 2011 data. Montenegro: 15.5% (females), 9.2% (males), 2011. Bosnia and Herzegovina and Kosovo* not available.
EU 2020 Target - At least 40% of 30-34 year-olds completing third level education Tertiary educational attainment 60 50 40 30 20 10 51.1 49.9 48.7 49.6 45.8 47.9 47.1 43.9 43.0 43.6 42.3 39.1 40.1 39.1 39.2 35.8 37.0 31.9 30.9 29.9 26.9 25.6 26.3 27.2 23.7 21.7 22.4 23.7 21.8 21.7 20.6 18.0 11.4 0 Source: Eurostat and National Statistical Offices (Enlargement Countries), 2013. Notes: * 2010 data; ** 2011 data. Bosnia and Herzegovina and Kosovo* not available. Montenegro 27% in 2013
EU Targets and Benchmarks Europe 2020 Strategy and Education & Training 2020 Framework EU target (2020) EU avg EU MS highest EU MS lowest AL BiH XK ME MK RS TR Early childhood education and care (%) 95 93.2 100 (MT) 70.6 (HR) md md md md 24.5 49.7 19.2 Lower achievers in basic skills (%) R reading M maths S- science 15 19.6 22.2 17.7 8.1 7.8 6.0 (FI) 41.0 47.1 41.4 (BG) 52.3 60.6 53.1 na na 43.3 56.6 50.7 na 33.2 38.9 35 21.6 42.0 26.4 Employment rate of recent graduates (%) 82 75.7 91.9 (MT) 42.9 (EL) md md md md 44.8 md 62.0 Adult participation in lifelong learning (%) 15 10.7 31.4 (DK) 1.7 (BG) 1.1 md 3.5 3 4 3.6 3.2 Source: Education and Training Monitor 2013 for EU MS figures; National Statistical Offices/Eurostat /OECD for SEET countries. Data refer to 2012; md missing data; na not applicable
EU28 EU27 Belgium Bulgaria Czech Republic Denmark Germany Estonia Ireland Greece Spain France Croatia Italy Cyprus Latvia Lithuania Luxembourg Hungary Malta Netherlands Austria Poland Portugal Romania Slovenia Slovakia Finland Sweden United Kingdom Albania BiH FYRM Kosovo Montenegro Serbia Turkey Europe 2020 Strategy Target - 75% of the 20-64 year-olds to be employed Employment rate 90 75 60 45 30 68.3 68.5 67.2 63.5 72.5 75.6 77.1 73.3 65.5 53.2 58.2 69.5 79.8 76.5 75.5 67.1 69.7 69.9 71.1 73.3 74.9 63.2 59.8 64.9 64.9 65.6 67.2 63.9 65 63.3 53.9 50.3 42.8 28.6 52.6 51.2 53.4 15 0 Source: Eurostat and National Statistical Offices (Enlargement Countries), 2013. Notes: AL - 2012 datum
Unemployment rates in SEET countries 45.0 40.0 35.0 30.0 28.0 30.9 29.1 25.0 20.0 15.0 10.0 15.6 19.6 22.1 8.9 11 5.0 0.0 2013 2013 2012 2013 2013 2013 2013 2013 AL BA XK MK ME RS TR EU28 Total Male Female Source: National Statistical Offices for SEET countries and Eurostat for EU-28 average
Youth unemployment rates (15-24) in SEET countries 70.0 60.0 50.0 59.1 55.3 51.9 49.4 41.6 40.0 30.0 30.2 23.3 20.0 16.9 10.0 0.0 2013 2013 2012 2013 2013 2013 2013 2013 AL BA XK MK ME RS TR EU28 Total Male Female Source: National Statistical Offices for SEET countries and Eurostat for EU-28 average
Torino process Addressing economic and labour market demand What are the main economic and labour market factors that shape demand for skills in the country? What mechanisms are in place to identify this demand and match the skills supplied by the VET system? What is the potential of the VET system to respond to economic and labour market needs 2012 Torino Process round - key message for future development of VET policies and systems in the Western Balkans and Turkey focus on the short and long-term employability of young people and adults VET training could play an enhancing role alongside macroeconomic policies, job-creation measures and continuous efforts to fight informal employment.
FRAME Initiative Skills for the future - EU/ETF FRAME initiative, implemented in 2013 and 2014 under the 2013 IPA multi-beneficiary envelope - It supported the development of comprehensive long term visions for skills and the planning of coherent and holistic human resources development policies in the Enlargement countries Results - country vision for skills and strategic priorities for comprehensive and result oriented policies; - review of institutional arrangements to develop, implement and monitor integrated policies in the field of HRD and recommendations for future actions supported by national and IPA II resources; - set of indicators to monitor improvements in HRD
FRAME Monitoring tool Methodological approach: Pre-selection of indicators relevant for skills generation process; Ensure an efficient link to EU and SEE strategic priorities but keeping national specificity (common and country specific indicators) Check of data availability at national level and comparability at the regional and European level Main challenges: low degree of data comparability human and financial resource constrains time lag in data collection inconsistencies of methodologies over time Full participation of countries in the decision making process Guidelines on how to ensure a sound monitoring process and efficient use of results in policy development
Structure of FRAME common list of indicators POLICY AREA 1 (Education and Training System) Financing Education Supporting Teachers' Training POLICY AREA 2 (Adaptation of the LF skills) INPUT Financing Active Labour Market Policies (ALMPs) - Training POLICY AREA 3 (LM participation) Financing Active Labour Market Policies (ALMPs) PROCESS Participation in VET K: Lifelong Learning Foreign Languages skills Entrepreneurship Digital competencies Activation of unemployed - Training OUTPUT/OUTCOME/IMPACT K: Tertiary education attainment K: Highly qualified people Employment rate of recent graduates K: Achievement in Basic Skills K: Early leavers from education and training Placement rate of VET learners VET completion Adult literacy Earning by educational attainment Activation of unemployed K: Employment rate
Some questions How policy priorities and targets are set? Do all stakeholders and policy implementers have a real say? Is there a sufficient link between priorities and the actual resources that are allocated? (e.g. ambitious HRD targets but very modest investments in further training, ALMPs etc.) How countries can cope with the multitude of monitoring, assessment and reporting requirements? What are the key gaps and how ETF and other organisations can better help?