Emerging Technologies Andy Black Technology Research Manager,Becta

Thinking about the future In 10 years time we’ll be educating primary school children who will not leave school/college until 2033, and University until

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The more certain end of things: 8 key socio-technical trends The information and data landscape Creating the personal ‘cloud’ Working and living alongside machines Distance matters less, but geography still counts ‘Digital natives’ grow up and need to keep learning Weakening of institutional boundaries Rethinking the knowledge economy No ‘silver bullets’ for educational problems

The information and data landscape Capacity to ‘know more stuff about more stuff’ Increased digital storage capacity Range of information – bio, genetic, spatial etc. Ready availability of data through the cloud Digital tagging and matching, data analysis image: biopcrepairs

Personal ‘cloud’ creation Constant connection to a network Cloud-based services Mobility of devices Resources, communities and knowledge always at hand Personal information landscapes image: symtym.net

Life with machines – ‘human’ jobs Machines in roles previously occupied by humans Not artificial intelligence, but complex systems managing data and critical systems The more routine elements of some professional roles done by computer Machines and embedded computing supporting human actions Image: Gaea Times blog.taragana.com

Distance matters less, but geography still counts Information resources separated from physical location Greater ‘sense of presence’ in remote interactions Social norms for ‘being together apart’ Greater mobility within and between countries But physical proximity still important for specific interactions and for innovation and development

Digital natives grow up and need to keep on learning By 2030 over 50% of the population will be over 50, with 40 years additional life expectancy New adult-child relationships; care passed up the generations to a greater degree Working and learning across the lifecourse Engaging with technology across the lifecourse

Weaker boundaries: home, work, leisure, education Devices for learning and entertainment Disaggregation of information from the institution Adults combining working, caring and learning roles Technology supporting flexible working and learning Looser, more flexible institutions

Rethinking the knowledge economy Competitive R&D knowledge work will remain at a premium But digital technologies will enable: – greater ‘off-shoring’ of knowledge work – higher productivity in service/product development – standardisation of organisational management Rise in demand for caring, face-to- face and personal service roles image: the work foundation

No ‘silver bullets’ for educational problems Neuroscience, computing and bioscience won’t provide easy solutions to educational problems But advances in methods to address specific disabilities and difficulties Performance-enhancing technologies will present dilemmas image: tejasthumpcycles