This paper presents the findings of a consultation of 25 digital learning experts on how digital learning can best support everyone in society to develop the skills needed to attain maximum benefit from the use of technology throughout their life. The consultation focused on five aspects of the digital learning provision: what should digital learning aim for (which skills should it contribute to deliver), the shifting role of the educator and the learning in a digital learning environment, what motivates the learning to choose digital learning, inclusive aspects of digital learning, and finally sustainability of the digital learning business models. Findings from this consultation will be presented in a report to be published early May 2017.
The use of the digital is becoming pervasive and ubiquitous in every aspect of our life: from our schooling and education, to how we engage with politics, and even how we manage our finances – it is everywhere. Not only has its influence accelerated over the last 20 years, but all things digital continue to grow exponentially. Developments in digital technology, and the speed at which they come, drive innovation and new applications that touch our lives in different and often profound ways. While there are numerous opportunities associated with being digital, we also need to understand and mitigate the challenges it presents to society.
RAND Europe is working in partnership with the Corsham Institute to design and deliver the 2017 Thought Leadership Programme which provides an opportunity for strategic discussion on the opportunities and challenges that digital technologies are creating within society today, with particular focus on shaping a future where individuals can realise their potential in a highly connected world. The programme opened with a Consultation on ‘Digital learning’s role in enabling inclusive skills development for a connected world’, which took place on 6–7 March. This paper summarises a number of the findings and recommendations from the Consultation and which will be presented in a report to be published early May 2017. 2
More and more day-to-day routine activities can be done with the support of digital
technologies, including tablets, mobile phones, laptops and computers to access the
Internet at home, and it is increasingly difficult to live in contemporary society
without using these technologies. It follows, therefore, that those not able to access to
these technologies are at risk of being excluded from society
The increasing use of technology and the growth in connectivity is also disrupting the labour market of today and will continue to do so in the future – a phenomenon labelled the ‘digitalisation of work’. Gartner predicts one in three jobs will be converted to software, robots and smart machines by 2025. This change, combined with the use of technology in our personal lives, requires the upskilling of the current workforce and wider population to adapt to an increasingly digital world and to reduce the risk of this change creating a new stratum of social exclusion.
Looking to the future, some estimate that as many as 65 per cent of children in
primary school will have jobs which do not exist today
However, while digital skills will increasingly be needed for the jobs of the future,
the growing availability of ICT and technology in the workplace also means that
employers seek a workforce with additional aptitudes. These include sense making,
novel and adaptive thinking, new media literacy, computational thinking, cognitive load
management, problem solving, critical thinking, teamwork and collaboration,
communication, creativity, and innovation
The research question guiding the consultation, this paper and the consultation report is: How can digital best support everyone in society to develop the skills needed to attain maximum benefit from the use of technology throughout their life? This overall question is supported by specific questions, including: What are skills required to be successful in a more connected society?; How does do technologies disrupt the respective role of actors in the delivery of education?; How can digital delivery channels help ensure equality of access and inclusivity to skills and education?; Do we need a new, more sustainable, model for delivery of education and skills which is better suited to a more connected world? These questions are explored in the remainder of this paper. 3 3.1
To think about how digital learning can support the acquisition of skills that will be needed in a future, highly connected world, identification of skills required is needed. As traditional models of interaction are disrupted both at work and in our personal lives, we need to explore the core skill sets that will be required of citizens in the future if they are to maximise the opportunities created by digital technology. We know that employers are already seeking individuals with different skill sets and aptitudes to manage the increasing digitalisation of work, and without digital navigation skills citizens are at risk of social exclusion as we become more dependent on digital models of transaction. Following this, it is important to explore whether digital learning, and in particular MOOCs, is an appropriate way for learners to acquire these skills.
Findings from the Consultation include that two sets of skills need to be considered: those needed to access the digital world (these include IT skills) and those needed to live in society (e.g. communication skills, resilience). While the earlier evolve with technologies and become obsolete, the later are eternal. Rather than the skills themselves, what has changed in the last decades (and is likely to change in the future) is how to acquire and use these skills in a digitalising world. Our understanding of future skills needs is very limited and while forecasts are useful, it may be unrealistic and dangerous to try and plan for something we do not know and do not understand fully. Rather, skills production systems (education and training providers, learners, governments and employers) need to remain agile. A better understanding of how skills mismatch in both labour and society at large have worked in the past is the first step to understanding how to better respond to tomorrow’s needs. Only then will digital learning be thought through and designed in a way that allows acquisition of the skills we all need to navigate the digital society. 3.2
The use of digital technologies in education does not necessarily translate into better learning. Recent evidence suggest that, in fact, there is no positive association between the extent to which learners use computers at school and their performance in mathematics, print literacy, or even digital literacy (OECD 2015). Although digital technologies have the potential to improve teaching and learning in a number of ways, they cannot achieve this improvement alone. For example, RAND Europe is currently evaluating an intervention for primary school teachers that uses a digital app to provide immediate and delayed feedback to pupils on mathematics tasks (RAND n.d). The app is the digital technology tool – or conduit – by which teachers can provide feedback. But this tool will only be effective if the feedback provided by teachers is of high quality. The use of the app alone will not be sufficient to improve learning.
With this in mind, a vital question is how digital technology is redefining the
traditional role of the educator, and how the educator of the future can be best supported to
embrace digital technology as part of their teaching practice. We must be careful not
to assume that a teacher who is trained to use new technologies has also reflected on
how this changes and enhances their ability to teach. Digital technology offers huge
possibilities but we need to consider how the basic principles of teaching remain
intact as the role of the educator evolves and embraces this opportunity. In addition, due
to the availability of information through technology, it is feasible to see the role of
the educator as changing, from that of knowledge provider to that of coach
Findings from the Consultation include that digital provision of learning content is not enough on its own. It needs to be supported by an ecosystem including mentoring, support functions, a community, direct contact and appreciation. It is with this in mind that the role of the educator needs to be re-thought. Far from becoming robots, the educator of the future should concentrate on coaching and mentoring learners rather than providing the information, which will be available for all online. This model has already entered the MOOC world, with mere information accessible for free, while the coaching and mentoring services are pay-for. This implies that educators need to be prepared for this new role and responsibilities towards the learner. The shifting role of the educator also has implications on the role of the learner, who has to take ownership of their learning and be an active self-guide rather than been guided by their instructors. This is likely to be increasingly the case of the future, especially as digital learning offers opportunities for more tailored and learner-centred learning. 3.3
Looking at the drivers to participation in digital learning, a key question is what motivates learners to embrace digital learning. Beyond the point of view of the learners, and depending on their aspirations, it is also important to explore what value is placed on learning outcomes from digital education both within the education sector, by employers and by those who design and implement policies and programmes supporting skills acquisition.
Recognition of learning outcomes for the purpose of further studies or employment
is an obvious motivation for learners to participate in digital learning. In the context
of less formal digital education (e.g. MOOCs), recognition issues include the value of
learning outcomes acquired through these forms of learning on an individual’s studies
or career prospects. Recent research shows that this is of concern to those who take
MOOCs, as well as to employers and education institutions who are digital learning
providers
The Consultation also shed the light on additional motivations for learners at different stages of life to embrace digital learning, which include flexibility, curiosity, (desperate) need for change, fun, etc. Accessibility solutions offered by digital learning were also mentioned among the drivers to participation in digital learning – these are explored in further details in the section below about inclusion.
Policy-makers need to be aware of these motivations and about the opportunities digital learning represents for learners, employers and education and training provider so as to develop appropriate supporting policies. 3.4
Digital learning is often described as an attractive way to reach more people in a faster and more inclusive manner. Digital learning can help bring education to those who cannot physically access it (e.g. learners in hospitals, prisons, remote areas) or who need flexibility in their attendance (e.g. those who study outside work hours). The current refugee and Ebola crises provide examples of the ways in which digital methods are a major delivery channel and can facilitate inclusion for large groups (Gill 2016). In these cases, education technologies are seen as a means (sometimes the only one) to allow vulnerable learners’ participation in education. However, recent research on the massive open online courses (MOOCs) phenomenon in the USA and in Europe (e.g. Castaño-Muñoz et al. 2016) shows that the primary beneficiaries of MOOCs are those who already have a higher education qualification, a finding which raises questions about the likely inclusivity of digital education.
This belies an important issue of how to make sure that disadvantaged learners do not miss out on the benefits and opportunities created by digital education. For instance infrastructure and affordability remain barriers to access. Additional barriers linked to accessibility of learning content to disadvantage learners also need to be taken into consideration. Notwithstanding the wide range of contexts, we need to ensure that individuals who are at risk of being excluded from our connected society, are able to access the opportunities and benefits created by digital education.
As part of the Consultation we tried to identify building blocks of a successful inclusive digital education strategy. These include offering opportunities for learning provision tailored to the needs of the disadvantaged group in question (no one-sizefits-all approach) – this implies listen to the needs of the disadvantaged groups, understand them and involve them in the design of digital learning solutions. Given the diversity of learners and learning needs within a specific disadvantaged group, digital learning needs to provide or tailored learning in line with the needs of each individual learner. In this area, digital learning offers opportunities that traditional learning would not have the capacity to offer. 3.5
Digital learning is a cost-effective way to reach a wider market of learners (in quantity and diversity) but is known to have high set up and maintenance costs. Traditional education business models are not appropriate to digital learning, and we need to consider how the education sector can respond to ensure sustainability as digital technology continues to disrupt traditional funding models, and how this can be supported by employers, government and learners themselves.
Findings from the Consultation include that while the main actors of digital learning (identified as learners, education and training providers and educators, government and businesses) have common needs and goals, they do not understand each other’s point of view and often work in isolation. Structured dialogue would facilitate this understanding and working together to achieve common goals such as bridging the skills gap and a more inclusive digital society. The Consultation also showed that while there are many examples of successful inclusive digital learning practices, evidence of effectiveness is scare and good practices are not scaled up to reach more people or more groups of disadvantaged learners, and enable them to appreciate the benefits in participating. Measuring effect and effectively disseminate good practices is vital in this area but still the exception rather than the rule. 4
Those who develop and support digital learning policies and programmes should: • Ensure effective and structured dialogue among stakeholders – involving learners, education and training providers, instructors, government and employers. This implies better understanding each other’s’ needs and defining joint priorities for the short term and long term policy development in relation to digital learning. • Keep the learning at the centre of the digital learning developments, taking into account the needs of vulnerable learners and remaining flexible to address the learning needs of each individual learner – this way only digital learning will be inclusive.
Rethink the role of each actor in the provision of digital learning, each actor taking responsibility in their new role. This may include taking ownership of their learning (learners), becoming a coach rather than an instructor (educator), involving learners in the design of learning offer (education and training providers), reflect on and identifying their skills needs and the best way to attract, maintain and keep these skills (employers) and incentivising investment and development of digital learning offer (government).
Those who design and support digital learning (governments and education and training providers) should define clear objectives and use evidence and good practice to improve and further develop digital learning strategies. Producing a narrative explaining the opportunities and evidencing the benefits of digital learning will encourage citizens of all ages and stages of life to become learners.
Further research is required in areas such as how to effectively measure acquisition of skills for the future through digital learning, how to use (big) data to better understand the dynamics of digital learning, the role of the regulator to monitor digital learning policies, better understand the (learning needs of the educators, help employers better identify the skills they need.