Showing posts with label numeracy. Show all posts
Showing posts with label numeracy. Show all posts

Wednesday, December 6, 2017

How can countries close the equity gap in education?

by Dirk Van Damme
Head of the Skills Beyond School Division,  Directorate for Education and Skills


Education plays a dual role when it comes to social inequality and social mobility. On the one hand, it is the main way for societies to foster equality of opportunity and support upward social mobility for children from disadvantaged backgrounds. On the other hand, the evidence is overwhelming that education often reproduces social divides in societies, through the impact that parents’ economic, social and cultural status has on children’s learning outcomes.

The social divide is already apparent very early in the life of a child, in the time their parents spend on parenting or in the number of words a toddler learns. It progresses through early childhood education and becomes most obvious in the variation in learning outcomes, based on social background, among 15-year-old students who participate in the Programme for International Student Assessment (PISA). And when literacy and numeracy skills among adults are assessed, such as in the OECD Survey of Adult Skills (PIAAC), we still see the impact of socio-economic status on skills development. A new report, Educational Opportunities for All, which contributes to the OECD Inclusive Growth initiative, charts the trajectory of educational inequality over a lifetime using OECD datasets on education and learning outcomes.

Children from disadvantaged families, measured by the proxy of parents’ educational attainment, have less chance than their peers from more advantaged backgrounds to benefit from early childhood education and excellent learning opportunities at school. The later stages in a person’s educational career often reinforce the accumulated disadvantage from previous stages.

The chart above shows,for the cohort born between 1985 and 1988, that the impact of social background continues to be strong between the age of 15, when students sit the PISA reading test, and the ages of 25-28, when PIAAC conducts a similar test in literacy. In most cases, the difference in the standardised scores between children with tertiary-educated parents and those without a tertiary-educated parent increases between the two measurements. This is probably because poor literacy proficiency at school translates into different trajectories into further education, into more difficult transitions between school and work, and into work environments that offer fewer opportunities to improve literacy skills either by using those skills or through training.

Is this then a completely pessimistic story? Should we forget about the potential of education to foster a more equal and inclusive society? Not at all! The report shows that children’s educational trajectory is not set in stone. Many children seem to be able to move beyond the destiny to which their background seems to condemn them. But there are large differences among countries in the extent to which these children succeed in school. The report includes a dashboard of 11 indicators of equity in education – a clear sign that policies and practices matter. The right policies and the right kind of incentives can make a huge difference in whether a country is able to provide educational opportunities for all.

Throughout its work on learning, education and skills, the OECD has identified policies that matter with regard to equity. Those identified in this new report are not surprising: invest in accessible, high-quality early childhood education; improve learning opportunities for children at risk and target resources to those schools that need them most; focus on employability skills for adults from disadvantaged backgrounds; and provide opportunities for second-chance and lifelong education.

There is no magic formula that will work for all countries. In some countries, a lack of quality early childhood education creates huge equity issues, while in others, secondary school is the stage at which equality of educational opportunity is jeopardised. In still other countries, it is the transition to work that is the most challenging for disadvantaged young people. As shown in the chart above, Sweden, New Zealand and Norway are relatively successful in guaranteeing equitable learning outcomes in secondary school. But in contrast to the two Nordic countries, New Zealand doesn’t seem able to extend its equitable approach into skills development among young adults, probably because of segregating mechanisms in work allocation and adult learning programmes.

The Flemish Community of Belgium provides a contrasting picture: the secondary school system there shows large disparities in learning outcomes between disadvantaged and advantaged children, but the inequitable outcomes are, to some extent, compensated in early adulthood by more inclusive labour-market and social-protection systems. Countries thus need to search for the specific mix of policies that will work for them.

More equitable and inclusive education and skills policies are not only beneficial for individual people; they can have a huge impact on society. Such policies can guarantee that the routes to upward social mobility remain open to talented people, regardless of their social background. Countries will benefit socially and economically when they stop wasting the talents of those who are penalised simply because of where they came from. At a time when skills are the ticket to brighter futures, developing everyone’s skills is the best strategy towards economic prosperity and social cohesion.

Links
Educational Opportunities for All, Overcoming Inequality throughout the Life Course
Programme for International Student Assessment (PISA)

Join our OECD Teacher Community on Edmodo


Share:

Friday, October 27, 2017

How can we tell if artificial intelligence threatens work?

by Stuart W. Elliott
U.S. National Academies of Sciences, Engineering and Medicine


New technologies tend to shift jobs and skills. New technologies bring new products, which shift jobs across occupations: with the arrival of cars, the economy needed more assembly line workers and fewer blacksmiths. New technologies also bring new work processes, which shift skills in jobs: with the arrival of copiers, office workers needed to replace ink cartridges but not use carbon paper. Economic history is full of examples of new technologies causing such shifts.

Workers often worry that new technologies will destroy old jobs without creating new ones. However, economic history suggests that job destruction and creation have always gone together, with a shift in jobs and skills that leaves most people still employed.

Will artificial intelligence (AI) differ from past technologies in the way it shifts jobs and skills? To answer that question, we need to know which skills will be supplied by AI and which will be left for people. If workers have the skills AI lacks, they will be able to find new jobs if AI automates their old jobs. In that case, AI will shift jobs and skills just like previous technologies. However, if workers do not have the skills AI lacks, these shifts will break down and the institution of work itself will be threatened.

As an example, consider literacy and numeracy. These skills are widely used in many jobs—so widely used that countries invest many years of formal education to help everyone develop them. The OECD assesses these skills in its Survey of Adult Skills (PIAAC) because they are so important for work and education.

A new OECD study uses PIAAC to assess whether AI can perform these skills as well. The study is only exploratory, but its results are sobering. Current AI techniques are close to allowing computers to perform at Level 3 on the 5-level scale in literacy and numeracy—at or above the proficiency of 89% of adults in OECD countries. Only 11% of adults are above the level that AI is close to reproducing.

If literacy and numeracy were the only work skills, this new study would suggest that AI is not like other technologies. As current AI techniques are applied, many workers with moderate proficiency in literacy and numeracy would be displaced and would not have the higher-level skills for the jobs that remain. The usual shift of workers between jobs and skills would break down.

Of course, if this happened, we would need to improve education. The results of the Survey of Adult Skills show what might be possible. For adults with tertiary education, 21% are above the computer level in literacy and 23% are above the computer level in numeracy. And in the highest performing countries, these percentages for adults with tertiary education reach 37% in literacy and 36% in numeracy, for Japan and Sweden, respectively. These results are much better than the current OECD average of 11%.

With high-quality tertiary education, many more adults could develop literacy and numeracy skills above the current computer level. However, there would still be a serious problem if literacy and numeracy were the only work skills even with high-quality tertiary education for everyone. We do not have examples of education policies at scale that bring 80% or even 50% of adults above the current computer level.

Fortunately, literacy and numeracy are not the only work skills. There are many more skills that are important for work than the ones measured by PIAAC. Many jobs involve tasks using expert knowledge like scientific reasoning. Many jobs involve physical tasks like cooking. Many jobs involve social tasks like conversation.

PIAAC does not measure the other skills needed for such tasks and cannot tell us how AI might perform on them. However, computer scientists are developing AI to reproduce these other skills as well. Do AI’s capabilities in these other skills look as proficient as their capabilities in literacy and numeracy? We do not know.

The new study using PIAAC to assess AI in literacy and numeracy is only a first step. The OECD is working with the U.S. National Academies to develop a new programme to assess AI capabilities across all work skills. In the years ahead, policymakers will need this information to know whether AI will shift jobs and skills just like other technologies have done in the past—or whether this time is different.

Links
Computers and the Future of Skill Demand
Skills Matter: Further Results from the Survey of Adult Skills
Survey of Adult Skills (PIAAC)

Follow the conversation on Twitter: #AI and #GoingDigital

Photo credit: @Shutterstock
Share:

Friday, September 29, 2017

Why it matters if you can't read this

by Tanja Bastianic
Statistician, Directorate for Education and Skills 



Adults who lack basic skills – literacy and numeracy – are penalised both in professional and private life. They are more likely to be unemployed or in precarious jobs, earn lower wages, have more health issues, trust others less, and engage less often in community life and democratic processes.

Basic skills are not complicated. What we measure in the OECD Survey of Adult Skills is the ability to process the information needed to perform everyday tasks – to read the instructions on a bottle of aspirin or to know how many litres of petrol are needed to fill the tank.

In Australia, around three million working-age adults – one in five – currently have low basic skills and are living with the consequences. And if Australia doesn’t tackle this problem, it risks being left behind by countries investing more successfully in the skills of their people, especially in a world where work is undergoing a rapid technology-driven change and people have to adapt to new circumstances (See figure).

Many Australians with low levels of education have low skills – this comes as no surprise, as they often quit education at an early stage. Perhaps more surprising is that a higher level qualification doesn’t guarantee advanced basic skills. The OECD study published today, Building Skills for All in Australia: Policy Insights from the Survey of Adult Skills shows that 17% of Australians with a vocational Certificate IV, Advanced Diploma or Associate Degree still have low levels of basic skills. 

Australia’s post-secondary VET (Vocational Education and Training) system is inclusive and caters to adults with different needs, including those with poor basic skills.  This is a real asset to the Australian education sector. But the OECD argues that providers of post-secondary VET could do more to help those students with poor basic skills.

The study also highlights specific weaknesses in the numeric skills of young women in Australia, indicating that far greater attention should be devoted to ensuring that young women participate fully within Australia’s wider efforts to strengthen mathematics within secondary education. Opportunity exists, moreover, to better support young people who are Not in Education, Employment or Training (the NEETs) to reengage in learning whether through the development of pre-apprenticeship provision or access to better childcare for young mothers.

The OECD Australia review follows a number of similar studies on low basic skills conducted in the United States, England, and Finland. The OECD’s work on adult learning and skills is designed to help countries identify where skills-related challenges arise among adults, and then offer them an opportunity to redirect their skills policies and investments. The review of Australia is part of this work.  

Helping adults to improve their basic skills remains a challenge nearly everywhere and there are no easy answers. But the alternative – of doing nothing – is even worse. So each of these studies help us all understand the challenges better and offer a menu of interventions to help countries tackle the issue. 

Links

To read a literature review about the problem of low basic skills, visit Adults with Low Literacy and Numeracy Skills: A Literature Review on Policy Intervention


Photo credit: @Shutterstock 
Share:

Contact Form

Name

Email *

Message *

privacy policy | Copyright © Learning in garden is best | Powered by Blogger