November 17, 2024
My most recent blog on Substack is about Gustave Le Bon’s 1895 book The Crowd: A Study of the Popular Mind, and what it means for ensuring that AI products have a human dimension. Sounds historical and esoteric? Not at all — these are current issues that we all should care about, informed by the […]
July 24, 2024
In an excellent essay Exorcising us of the Primer published earlier this month, Andy Matuschak explores the seductive appeal, and advantages and disadvantages as a model for edtech applications, of “The Young Lady’s Illustrated Primer” from Neal Stephenson’s prescient 1995 novel The Diamond Age. The Primer is a versatile audiovisual device that educates the novel’s […]
June 30, 2024
A debate is raging in the AI community between those who believe that large language models (LLMs) and their offspring can or will be able to do (more or less) anything, and those who believe that a wider diversity of AI methods are likely to be needed. Similarly but much less visibly, in the edtech […]
April 23, 2024
What a difference a few months can make! In my last blog in December, I wrote confidently about LearnerShape’s “steady progress”. Now it’s time for us to shift into a higher gear. The reason for our acceleration is our new PlaylistBuilder application, which offers efficient AI-driven curation of video content for learning, targeted at higher-education […]
December 10, 2023
LearnerShape is supporting the adoption of Verifiable Credentials in education through technology development and multiple pilot studies
August 31, 2023
Changing needs and newly emerging capabilities support an open vision for learning infrastructure
June 12, 2023
With concerns around AI safety focusing on regulation are we missing practical solutions to address specific risks?
March 3, 2023
ChatGPT is a powerful tool, if we use it wisely it can have a positive impact on education
November 27, 2022
With the capabilities of AI advancing rapidly in the past decade attention is turning to regulation
November 10, 2022
Learnershape is pleased to have participated in an Open Loop study of the proposed EU AI Act
September 6, 2022
There is a huge opportunity for a new paradigm of Internet authentication based on blockchain technology with many of the technologies already here
June 16, 2022
We are delighted to announce the LearnerShape SkillsGraph project, a standards-based, open-source application for authentication of skills on the Cardano blockchain
March 27, 2022
We believe that this award validates the quality of our technology and the innovative vision of our open source business model
March 21, 2022
Although learning is a complex process, simple systems can be used to support and enhance the complex user interactions crucial for learning success
January 20, 2022
The potential of AI and blockchain technology, already demonstrated individually, is just beginning to be explored
November 11, 2021
With funding approved through Project Catalyst, we are applying our open source technology to skills authentication on the Cardano blockchain
October 14, 2021
With a new role in solving education challenges blockchain is proving to be more than hype
August 31, 2021
A major update to lsgraph, our open source learning infrastructure library, brings new concepts and a cleaner interface
July 26, 2021
Questions are a powerful tool – able both to elicit information and, when used fully, to expand the space for dialog and understanding
June 22, 2021
Complex organizational learning needs are poorly handled by existing skills taxonomies – AI can bridge the gap and bring precision and responsiveness
May 25, 2021
Learning resource recommendation is more than relevance – the correct level is also vital. Conceptual and machine learning advances enable this exciting new feature
April 6, 2021
Useful job recommendation requires more than simply counting missing skills. Our new approach uses neural embeddings to include the interdependence between skills.
March 11, 2021
The educational needs of people and organizations are complicated. Building AI-powered open source learning infrastructure delivers the diverse and tailored solutions needed.
February 23, 2021
Education is complex – really complex. We humans struggle with both the scale and the granularity of educational options for content, targets, and skills. We are building LearnerShape based on the idea that AI can help address this problem. But AI is a tool. The solution needs to work for humans
January 25, 2021
With rapid changes in the workforce organizations need to be continuously learning to avoid skill gaps. Reskilling needs to be effective, efficient, and maintain employee engagement over the long term.
December 24, 2020
The central reason why LearnerShape’s AI-based technology is disruptive is its flexibility. The exciting part is when this flexible vision delivers results for customers.
November 17, 2020
Today, we are delighted to announce the lsgraph project, an open source API to support decisions around reskilling and upskilling. LearnerShape has been privately developing lsgraph as a core part of our infrastructure and are now publicly releasing our codebase under the LGPL license.
November 2, 2020
It’s vital for AI and machine learning to develop into constructive, helpful members of society. LearnerShape’s mission – to help learners find useful courses and learning pathways – means that we are especially responsible for getting this right.
October 16, 2020
LearnerShape is focused on using artificial intelligence (AI) to improve reskilling for future jobs. In this blog post I discuss why AI matters for reskilling — it’s all about flexibility — and give a basic explanation of how we use AI.
September 28, 2020
When we were developing the ideas that have become LearnerShape, we were highly motivated by very visible examples of large companies investing in reskilling and upskilling — AT&T and Amazon in particular.
August 31, 2020
Over the last few months, the world has seen a sudden and unexpected shift from working in the office to working from home. The workplace support structures and routines we relied on are no more and this left us with not as much opportunity for collaboration and feedback.
July 30, 2020
How do we describe the skills someone has, the competences required for a particular job, or the knowledge someone is planning to acquire? Learning and reskilling are key processes, and the education and employment sectors have always looked for clear frameworks to list and describe skills.
June 16, 2020
Every company has a strategy. It may be explicit, formally stated and running to many written pages, charts and spreadsheets; it may be so implicit as to lead the company to believe that it has no strategy and no need of one – that its actions are guided by nothing more sophisticated than experience, insights and common sense; or it may lie somewhere between these two extremes. Whichever, all companies do have a strategy.
May 30, 2020
Enabling collaborative learning is a key focus of LearnerShape. In this post, our CEO Maury Shenk and lead advisor on collaborative learning Prof. James Fleck explain why.
April 21, 2020
COVID-19 has already seen a strong response from the technology community, ranging from Google and Apple joining forces to develop a contact tracing protocol to Sam Altman leading crowd-funding for a billion face masks to Jack Dorsey donating $1 billion (almost a third of his wealth) to relief programs.
March 19, 2020
What do cavemen and cavewomen, blacksmiths and babies have in common? For one thing, they learn “on the job” (so to speak … we don’t actually want to put babies to work) in the traditional learning ecosystem involving learners, teachers, content and jobs/trades (babies do have important jobs to learn like attracting attention, eating, crawling, etc).
February 24, 2020
LearnerShape is building a solution for computing individualized reskilling pathways, so we pay close attention to what other companies are doing in this space. Increasingly, we are observing that the market is coalescing around a reskilling “pipeline”
January 28, 2020
Hello, world! This is the LearnerShape blog. LearnerShape was founded in 2019 (based upon ideas developed since 2017) to compute learning pathways for future jobs, using robust data science. We are funded by a grant from Innovate UK (the UK government innovation funding body) and private investors.
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