Digital and AI literacy for social mobility #1. I am a gamekeeper’s son who has travelled a long way! But I am slightly ashamed to say that I unconsciously hid my northern roots and accent when I joined academia in the 1988


Figure 1 (top). Ian Miller and John Cook (me, right) circa 1984. Hammersmith and Fulham Playbus Scheme HQ


Overview:
I am a gamekeeper's son who has travelled a long way! From using Logo driven robots with young people in the early 1980s (on the Hammersmith and Fulham Playbus Scheme), to leading a project in 2012-2016 that developed technologies to support informal learning in the workplace (as part of a European project). For example, in the latter we developed an app with help from Chris Chalkley, the founder of the Peoples Republic of Stokes Croft, for urban regeneration through culture, activism and risk taking. This post takes a personal view. In fact, I am slightly ashamed to say that I unconsciously hid my northern roots and accent when I joined full-time academia in the 1988. My personal story tells me that for social mobility, we need to foster a common language, or common ground, that sows the seeds for building wider understanding of digital and AI tools that takes in: ethics, social mobility and justice, literacies, competencies and power. We also need to scaffold hands-on partnership with AI tools.


Keywords: Personal story, Digital literacy, AI literacy, social mobility, hierarchy of accent, Zone of Possibility, social justice


Comments welcome


I am a gamekeeper's son who has travelled a long way, both figuratively and literally. I lived in ten different places up to the age of fourteen. It all started when I was nine months old, in early 1959. Dad got a job as a farm labourer and moved Mum and I from Leeds in West Yorkshire to Newmarket in Suffolk. Here Dad eventually became a gamekeeper. The new home was an eight-sided house with a chemical toilet outside and no running water at first, we used a pump. Mum was far from impressed as she had my nappies to clean. Fast forward, I gained a degree in Computing Science from Sheffield Poly in the 1979; Mum and Dad at this point were running a pub and restaurant in West Yorkshire. From 1984-6 I worked part-time on the Hammersmith and Fulham Playbus Scheme with Ian Miller (Figure 1 above) coaching the use of the programming language Logo. This involved us carting ZX Spectrums around play centres and youth clubs in West London. As Ian put it in a 1984 Your Computer Magazine article (Bond, 1984, also Figure 2):


"Logo is useful for learning about graphics and programming by the back door, without [students] realising that they're doing it. It's good for handicapped kids - teaches the[m] about direction and length and space".


Screenshot
Figure 2. Paul Bond (1984). Computer Club. Your Computer Magazine (July), p. 43. That is Ian Miller in top photo, top right.


The idea was that young people could be encouraged to learn graphical drawing in a hands-on way by using programmable Turtle robots that drew shapes on the floor. This approach is based around Seymour Papert's Constructionism, which advocates discovery learning. Basically, students actively use what they already know to acquire more knowledge.


This experience eventually contributed to my career as academic and research professor of people centred technology for learning. But, I am slightly ashamed to say that I unconsciously hid my northern roots and accent when I joined full-time academia in the 1988. Instead, I chose to project the arty, musician, middle class values I had picked up from rubbing shoulders with creative people whilst in Camden Town in the early 1980s (squatting and generally being an indie musician). Indeed, a survey by the Sutton Trust (2022), conducted by academics from the Accent Bias in Britain project, has found that one in four have accents mocked at work. The BBC (2022) have summarised the report:


"The Sutton Trust found 46% of workers have faced jibes about their accents, with 25% reporting jokes at work. An entrenched "hierarchy of accent" caused social anxiety throughout some people's lives, researchers said. They said those with northern English or Midlands accents were more likely to worry about the way they spoke".


Travelling from being a gamekeeper's son, via indie music, to being a professor does give a personal story of the social mobility that seemed possible in the 1970s & 1980s. However, Lee Major (a professor of social mobility at the University of Exeter and Sutton Trust Chief Executive), in a recent Guardian opinion piece (Major, 2026) talks about ‘reverse discrimination’ and declining levels of social mobility that seem to be happening today:


"No, private schools aren’t victims of ‘reverse discrimination’ – and Cambridge should know better. It seems Trinity Hall’s plan to target elite schools sends the message that privilege equals talent, when the reality is that poorer students are already on the back foot."
"It is little surprise that battles over talent are intensifying at a time of declining levels of social mobility, widening wealth divides and an increasingly detached and powerful elite. Yet the profound generational opportunity divides we face seem beyond the scope of today’s politicians, many of whom would not now dare name, let alone challenge, a class system in which advantage and power are being systemically hoarded by elites".
"For others, this is a classic case of what the French sociologist Pierre Bourdieu would term "misrecognition": mistaking polished performance and extra preparation, which is so often shaped by privilege, for greater underlying talent – and sincerely believing this to be fair."


The Sutton Trust (https://www.suttontrust.com/) has a mission to improve social mobility through education. I intend to review their work and will post about it later. Bourdieu's work (on cultural and social capital) is of interest, and this crops up in my ZoP work. Indeed, one of Major's important concerns about social mobility reminds me of work I did whilst an academic on the ZoP or Zone of Possibility. My open access paper on some of this work was written with colleagues Yishay Mor and Patricia Santos (Cook, Mor and Santos, 2020; cited by 97 so far); it contributes to learning tools design discourse by drawing on work that has been conducted into what I call a Zone of Possibility (ZoP). I define a ZoP as a place where individuals can overcome the constraints of expectations and power structures to effect desired change. The paper is presented as 3 cases (EU funded Confer project, ZoP Stokes Croft and Google Lens in HE) that were used to provide insights to explore the concept of the ZoP. Confer comes from our work on the Learning Layers Project (http://learning-layers.eu/), which was funded by the EU FP7 programme and developed technologies to support informal learning in the workplace, specifically in the healthcare and construction sectors. See Figure 3 for an overview of the second case study that included the Peoples Republic of Stokes Croft: Urban regeneration within the Zone of Possibility. See also http://results.learning-layers.eu/scenarios/zone-of-possibility/. Our implications (Cook, Mor and Santos, 2020, p. 1156) for practice and/or policy was that bridging an understanding of social context will include an undertaking to develop “low flying” or “low overhead” mediational tools that address ethical and privacy concerns of citizens but that also sit easily in users’ learning cultural and work practices.


Urban regeneration within the Zone of Possibility
Figure 3: overview of he second case study: Urban regeneration through culture, activism and risk taking. Get in the Zone of Possibility and make stuff happen.


In my last lecture (Cook, 2022), at Goethe University in the Summer of 2022, I looked at 'AI in learning, leisure and work: ethical considerations'. In this course I helped undergrads build their own Chatbots (this was all pre-LLM, Large Language Model, AIs like ChatGPT) and I also got them to use Google Lens, an AI driven image recognition technology. I also went on to highlight that a key question for me in terms of social justice was: who are the invisible winners and losers? This remains true today in 2026. I believe digital and AI literacy needs to be mainstream and yes the stakes are high. For example, consider these recent examples/issues (the list could go on):


  • X's Grok represents the use of AI to harm women
  • Fears of LLMs like ChatGPT: "its potential to spread misinformation, facilitate cheating in education, replace jobs, erode critical thinking, perpetuate biases, and create over-reliance, leading to loss of human autonomy; some also fear it might develop human-like (even malevolent) traits, while others worry about data privacy and AI's unpredictable "hallucinations"." (Source Google AI!)
  • Fears about AI in the Arts and music. For example Paul McCartney thinks AI could "rip off" artists by using their work without permission to train AI models.
  • Generation fears of social divide: "Warnings of a “big split” in society between people who grasp how AIs work and are able to control them – challenging their increasing role in automating decisions in areas including housing, welfare, health, criminal justice and finance. On the other hand, there could be a cadre of AI illiterates who risk social disempowerment" (Booth, 2026).


    How do we make the winners and losers visible? First we need to foster a common language, or common ground, that sows the seeds for building a nuanced understanding and broad dialogue around: ethics, social mobility and justice, literacies, competencies and power. And, we need to scaffold hands-on experience of using these tools.


    I have avoided discussing the extensive literature on data, digital and AI literacies and will post about this down the line. AI raises many other concerns that I have dodged, particularly the 'singularity' idea and smart weapons. I still feel that the ZoP offers a grounded analytical tool that remains relevant for looking at social mobility and learning. Just like the Hammersmith and Fulham Playbus Scheme that Ian Miller championed, I also believe in getting your hands on tools and actively learning in partnership with these AI tools; in fact I once came up with a design principle for this.



    References
    BBC (2022). One in four have accents mocked at work - survey https://www.bbc.co.uk/news/uk-63494849. Accessed 2024.
    Bond, P. (1984). Computer Club. Your Computer Magazine (July), p. 43, accessed 14 Jan 2026, https://archive.org/details/your-computer-magazine-1984-07/page/42/mode/2up
    Booth, R. (2026). Generation AI: fears of ‘social divide’ unless all children learn computing skills. Guardian, 5th January. Available: https://www.theguardian.com/education/2026/jan/05/generation-ai-fears-of-social-divide-unless-all-children-learn-computing-skills. Accessed 14 Jan 2026.
    Cook, J. (2022). Lecture - AI in learning, leisure and work: ethical consideration. Faculty of Educational Sciences, Institute for Social Education and Adult Education, Goethe University Frankfurt. Available from: https://www.researchgate.net/publication/366685183_AI_in_learning_leisure_and_work_ethical_considerations
    Cook, J., Mor, Y. and Santos, P. (2020). Three cases of hybridity in learning spaces: Towards a design for a Zone of Possibility. British Journal of Educational Technology, Vol 51 No 4, p. 1155–1167. Available from: https://bera-journals.onlinelibrary.wiley.com/doi/10.1111/bjet.12945 (open access).
    Major, L. E. (2026). Opinion. No, private schools aren’t victims of ‘reverse discrimination’ – and Cambridge should know better. Guardian, Available: https://www.theguardian.com/commentisfree/2026/jan/10/private-schools-reverse-discrimination-cambridge-university-trinity-hall, Saturday 10 January. Accessed 14 Jan 2026.
    Sutton Trust (2022).Speaking Up. Social Mobility. Written by Erez Levon, Devyani Sharma, Christian Ilbury. Available from: https://www.suttontrust.com/our-research/speaking-up-accents-social-mobility/. Accessed 2024.

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