Pearson 2027 - An Education Revolution
Week 7
This week the team got a great energy boost by kickstarting our meeting with a delicious pasta lunch, and a fruit and spinach smoothie! Check out the recipe at the end of the post to get a taste of our gemutlich (cosy/hyggi) meeting ;)
Business Model Canvas
The team had a lot of material to share this week, one of the tasks we had been preparing was 1-3 business model canvases each for our digital platform concept. It was really helpful to share our proposals. The business model canvas is a framework that helps you pin down yey partners, activities, resources, channels, costs, relationships and of course the all important value proposition!
The team had some great proposals for revenue streams, which is always the tricky part for designers to pin down as we often put the concept and value proposition above all else.Ā
One team member had the brilliant idea of companies paying Pearson to appear highest in user feeds as an education provider. Another pointed out an alternative model where universities pay for subscription. All team members thought that having the classic freemium-premium model was one of the best, tried and tested business models. We concluded a free, trial version which could be used for 6 months would be appropriate for our platform - so users could try out all the features and see if it was motivating them to learn before committing.
We reflected that there could potentially be a lot of key partners linked to the platform to share great content, uniting with Pearson to grow their user base. It is important for Pearson to work with companies with common goals about learning, empowerment and accessibility. These partners could include youtube, TEDx and Linkedin for example.Ā
These partnerships are also necessary for the data collection which is needed to make a personalised learning journey. For instance, we envisage the Pearson Ai taking a lot of important content about user skills, interests and experience from their Linkedin profile - then using this to project their possible future careers.
Organic Learning
A*** talked us through a beautifully illustrated and metaphorically based outline of our value proposition she had been working hard on. The idea of linking learning to growth had come up a few times but A*** really made this metaphor blossom!
A*** visualised the learner path as a tree with roots, branches and nodes. Each node was a project, selected by the user to develop particular skills. Completing nodes moves the user forward on the timeline as their learning develops. There are side branches which the user may decide to go down to develop relevant but less necessary skills - skills that might lead them towards another career.
To summarise; the roots of the tree are made up of the core skills of the learner which are already well developed (the roots are generated from Linkedin data and user input). The trunk of the tree is the main skills path and branches are related learning options.Ā
A*** then divided our potential digital learning service into two distinct platforms:
1. Imagining Growth - Focuses on learning how you learn best and the joy of learning. The map of user peers is key, helping the user compare and discover different paths and methods. User learning and growth is something continuous, evolving and self-directed rather than happening in clear phases.
2. Imaginative learning -Ā Focuses on visualising the learnerās future, the user path and goal setting. The Ai directs the growth of the userās tree in phases based on completed tasks or projects.
Evolving Peer-to-Peer Support
We returned to our discussion of what features are most relevant to guided learners and what actually motivates learners. E*** explained her analysis of our qualitative research. She concluded milestones were one of the most important features for guided learners. This is because are confused about their direction or are so overwhelmed by where they are headed they struggle to stay motivated and structure their learning. Therefore, breaking learning and big goals down into manageable chunks is key.
After looking at the graph we also concluded that peer-to-peer support is really key. In many educational platforms there is a P2P community - thatās not new. However, a lot of communities do not work well at motivating users (MOOCās for instance, which have a huge dropout rate). What we need is a strong, connected community that is motivated to support each other and in turn motivates users to learn.
We decided there should be the potential for:
Learning buddies
Small learning groups (5-10)
Small groups may meet physically if they are local, but in most cases would interact online
The wider, extended community of 1,000ā²s of users that can be followed and connected with
Model / lead learners in your field
Mentor learners - who finished your track already and can be asked for advice
The Pearson Ai would connect users to their ideal learning groups based on learning patterns, availability and skills being developed. It would be possible to connect with learning groups for support, advice or collaboration and to see their projects and outcomes.
Roots and an underlying theme
The team concluded that generation Y rarely plans more than 6 months to 1 or 2 years ahead - although they may have a long term underlying goal such as to start their own company or do a PhD. However, theirĀ āconcreteā future vision is much more short term. Therefore our timeline should reflect that.
E*** pointed out that there should be a thread underpinning the learning that guides development and growth of the tree as time moves forward. This underlying thread would direct the Ai controlled tree using the interests, career goals and coreĀ ārootā skills of each user. The tree itself is adaptable, changing the learning ābranchesāĀ based on user choicesĀ and learning patterns. The Ai will also produce guidance and advice related to what it learns about each user.
Learning: Data, Methods, Strategies and Techniques
A*** reflected on our discussion and the fact that we had talked about a lot of content which should be categorised and clustered to focus our offering. We concluded that we shouldnāt try to cover every possible problem with our platform.
Therefore we divided the topics of our discussion into:
Learning Data - user skills, interests etc.
Learning Methods - project based learning, phenomenon learning, task based learning
Learning Strategies - visual learning, audio learning, mixed media learning
Learning Techniques - gamification, incentives, learning buddies
We summarised that our idea focused on an Ai generating targeted learning techniques for each user based on their data. Their learning would take place in a project based context with a unique p2p community.
Video Production and Smoothie Interruption!
The meeting came to an abrupt pause as the team refuelled on a delicious smoothie!
We then took a leap forward from concept development to the implementation phase! Deep breath - this means getting ready to make a video about our final proposal.Ā
K*** took pen in hand and fastidiously sketched out the first set of storyboards for our Organic Learning Platform. We thought it was important to have a clear, user-centred narrative with Has featured heavily in the video - showing the stresses and strains of being a transitional, as well as the great benefits and motivating features of using the 2027 Pearson platform! We aim to communicate this with a mix of live action and illustration, the illustrations will highlight all the key features of the platform in context.
Our homework for this week was to find video benchmarks, review data on learning motivators, write the video narrative script, visualise the storyboards in more detail and of course write this great blog!
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Smoothie Recipe:
2 apples
2 bananas
1 tablespoon of honey
handful of spinach leaves
Oat milk
pomegranets
Chuck into the blender and blender and blend away for a beautiful and drinkable green concoction! I look forward to seeing you next week.















