Are we entering a golden age of careers education and guidance in schools?

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Mrs Nicola Cooper, Director of Higher Education and Careers at WHS, explores the impact of the Gatsby benchmarks on careers education in schools.

If like me, you finished school before the turn of the millennium, I suspect that your experience of careers education and guidance as a teenager may well have been rather uninspiring. My only recollection is of a hurried conversation with my form tutor in which I enthusiastically expressed an interest in becoming an air hostess, only to have it swiftly dismissed as a totally unsuitable career for an academic student. Even at university the options put forward by the advisers seemed limited to accountancy, retail, teaching or law.

Thankfully those dark days of careers education, information and advice as – at best –  a desirable added extra, are long gone. Nowadays all schools are well aware that helping students to think about and prepare for their working life is a central part of what we do.

The importance of careers education in schools was given a significant boost in 2013 when the Gatsby Foundation commissioned Sir John Holman – Emeritus Professor of Chemistry at the University of York, senior education adviser and former headteacher, to produce a report setting out what career guidance in England would look like if it achieved a ‘good’ rating by international standards.[1]

The eight ‘benchmarks’ proposed by Holman in his report represent a clearly defined framework that significantly raises the bar in the area of careers work in schools.[2] Subsequent to the publication of the report, the Gatsby benchmarks were explicitly referenced throughout the Department of Education’s Careers Strategy[3] and now form a key part of new Statuary Guidance for careers.[4]

The Gatsby Benchmarks
Figure One: The Gatsby Benchmarks

[1] https://www.gatsby.org.uk/education/focus-areas/good-career-guidance

[2] https://www.gatsby.org.uk/education/focus-areas/good-career-guidance

[3] https://www.gov.uk/government/publications/careers-strategy-making-the-most-of-everyones-skills-and-talents

[4] https://www.gov.uk/government/publications/careers-guidance-provision-for-young-people-in-schools

Implementing Gatsby

In the last couple of years addressing the so-called ‘Gatsby benchmarks’ has become a strategic objective for all schools (they will form part of the Ofsted framework from 2020). For those of us tasked with leading CEIAG (careers education, information and guidance), their robust nature presents an exciting, if somewhat daunting challenge. Our response here at WHS has been to view the framework as an opportunity to take a completely fresh look at our provision. An initial audit of existing activities against the eight aspects identified by Holman helped identify a number of key areas in which we could develop and extend our programme.

Personalised guidance

Gatsby identifies personal guidance and addressing the needs of each pupil as a key feature of excellent careers advice and guidance. Student review and reflection, already a key feature of the pastoral system at WHS, will in the future also include discussions around more careers related values, interests and aptitudes.  Along with formal 1 to 1 guidance interviews for every student at both KS4 and KS5 and access to labour market information through online platforms such as Fast Tomato and Unifrog, we can now be confident that all our girls have access accurate and up to date advice appropriate to their individual requirements.

‘Real life’ experiences

One of the biggest challenges all schools face in addressing Gatsby is increasing the level of engagement students have with employers and the world of work.  There is a strong empirical base for the benefits of ‘real life’ experiences, on self-development, employability, earnings potential[1] but a combination of health and safety and safeguarding concerns along with the timetable demands placed on teachers by new more rigorous GCSE and A level specifications can mean organising opportunities to meet with employers and experience the world of work can be difficult.

We have had to think creatively and look for innovative ways of bringing the world of work to our students. Running off-timetable enterprise and employability days for Year 9 and 10, inviting speakers (often parents and alumnae) to talk to groups of students informally over a series of lunchtime ‘Getting into…’ talks and sending Year 8 girls off to spend a day at work with a parent or family member are just some of the ways we have sought to increased understanding of working life.

Developing partnerships

One of the more unexpected consequences of the increased focus on CEIAG has been the added impetus for collaboration between schools. This year, working with a colleague at Raynes Park High School, we have established the Merton and Kingston Schools’ Careers Advisers Hub. Sharing expertise, working together to liaise with local chambers of commerce and opening up events like our recent higher education evening to partner schools has not only been an extremely satisfying and enjoyable but also mutually beneficial experience, to both staff and students.

The Striding Out Programme

Striding Out LogoThe biggest impact of Gatsby has been to act as a framework on which we have built our brand new Striding Out programme, which embraces the concept of a truly holistic approach to career and higher education preparation.

The programme consists of three strands; Explore, Equip and Experience – E3 with the key aim of providing all students, from Year 7 through to 13, with opportunities to explore the vast range of higher education and career options available, equip themselves with the skills required for a successful career in the 21st century and gain valuable experience of the world of work.

Response to the changes from students, parents and staff has been overwhelmingly positive so far. Moving forward, having established a coherent and cohesive structure, we are now in a strong position to grow, adapt and develop the programme. This will include working more closely with Heads of Department to explore ways of embedding CEIAG into the curriculum.

A Golden Age?

So to address the question proposed at the start of this article: are we entering a ‘brave new world’ of careers education in schools?

I am convinced that Gatsby has been a force for good; it quite rightly puts CEIAG at the heart of what we do in schools. The core principles of access to up to date information, personalised advice and the opportunity to meet with employers and experience the world of work certainly represent the Gold Standard. However, there is no doubt that addressing the benchmarks is an ongoing challenge, it requires time, resourcing and the cooperation of colleagues across the school, particularly senior management. I have been very fortunate to have had unwavering support for all of the new initiatives we have introduced but I know that for other colleagues, particularly those working in the state sector, money and time is in short supply. So a golden age? We might not be there quite yet but there is an army of dedicated and inspiring careers leaders working in school who now have a robust framework to work towards. As such, from where I am standing, the future certainly looks bright.

[1] http://www.educationandemployers.org/research/the-employer-engagement-cycle-in-secondary-education-analysing-the-testimonies-of-young-british-adults/   http://www.educationandemployers.org/research/work-experience-impact-and-delivery-insights-from-the-evidence/

 

Artificial Intelligence and the future of work

By Isabelle Zeidler, Year 7.

What is AI, and how will it change our future?

Firstly, so that AI works, there are three key requirements: data, hardware and algorithms. An example of data are the words in a dictionary saved on a computer. You need this because otherwise Google Translate won’t work. Hardware is necessary so that the computer is able to store data. Lastly, algorithms are what many of us know as programming; the function so that we can do something with our data.

The history of AI is longer than we imagine; we have used AI since 1950. Machine Learning (ML) is a kind of AI. We have used ML since 1980. The most modern kind of ML, AI is Deep Learning (DL). Many of us do not know about this, but a lot of us know the companies that use it. One of the most advanced companies in DL are Google and IBM Watson. So why is DL so amazing? ML has some kind of coding of rules given by programmers. DL learns these rules by observation. This is similar to what happens when babies learn to speak – they rely on observing others.

There are four amazing skills which AI can do:

  • computer vision
  • natural language processing
  • complex independent navigation
  • machine learning

Not all AI use all of these abilities. Some examples of computer vision would include the new passport control at the airport. Another example which is very popular is face recognition in an iPhone X or Surface Pro. The second skill is natural language processing. This is the ability to understand language. A relevant example is Alexa. In the future, some call centres will also use AI’s ability to understand language (it has already started). For example, when you call a bank, a robot will be able to answer even complex inquiries, not just tell you the account balance. Complex independent navigation examples are modern technology ideas like drones and planes.

Do you think that AI may soon even be better than humans?

Well, it is happening already. When focusing on image recognition and accuracy, some scientists compared machines with humans. Human’s accuracy is at 97%. But AI’s accuracy has changed dramatically. Eight years ago, machines were 65% accurate. In 2016, machines were equal to humans, both 97%. Today, in 2018, machines are even better than humans. This is why AI is very likely to change our world, positively and negatively. Some positive examples are that AI powered machines can understand many languages, can speak many different accents, are never tired or grumpy and may be cheaper.

In 1997, IBM Watson made the start to a big step in AI. For the first time, a machine won against a human in chess. A programmer programmed all the moves, and the robot didn’t need AI, let alone ML and DL. 19 years later, another exciting game was played. In an even more complex game than chess, the Japanese game ‘Go’, a robot won against world champion Lee Sedol. In the game ‘Go’, however, Google faced a big problem. Go has too many possible moves to programme. So, Google programmers used AI: they programmed the rules and objective of the game and based on that AI won. Later, AlphaGo lost against AlphaGo0. Both robots used AI but AlphaGo0 was even more advanced. AlphaGo0 learnt the rules by observing AlphaGo.

Will AI powered machines replace workers?

How much time could be saved by using AI in the future? McKinsey compared which skills that humans have will be easiest to replace in the future. The skills which would be easy to replace include predictable physical work (building cars is already being replaced) and collecting and processing data (because this is what robots do all the time, such as calculator). On the other hand, the four activities which would not be easily replaced are management, expertise (applying judgement), interface (interacting with people) and unpredictable physical work (e.g. caretakers). The research group discovered that less than 10% of jobs can be fully automated, but more than 50% of work activities can be automated.

What will the future look like?

The following jobs will be in high demand: care providers, educators, managers, professionals and creatives. So, if you were interested in being doctors, teachers, scientists, engineers, programmers or artists, you are less likely to be replaced by robots. AI will also take away jobs, however such as customer interaction and office support. Waiters and IT helpdesks will not be so promising careers anymore (robots will fix robots!).

There are three main reasons why these jobs will be automated: save costs, provide better customer services and offer entirely new skills. The main reason is better services. Saving costs also plays a big role, e.g. for building cars.  And oil and gas islands will be taken over by robots because it is less dangerous for robots, who can go to most places.

In conclusion, AI is already taking over some elements of jobs. As the technology progresses, however, many more jobs may be automated.

The safest jobs are the ones with social skills.

(source: report by Susan Lund from McKinsey: https://www.mckinsey.com/~/media/McKinsey/Global%20Themes/Future%20of%20Organizations/What%20the%20future%20of%20work%20will%20mean%20for%20jobs%20skills%20and%20wages/MGI-Jobs-Lost-Jobs-Gained-Report-December-6-2017.ashx )

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