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Recent Blogs

Enabling effective reskilling, efficient reskilling and employee engagement

January 25, 2021
By Maury Shenk

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Any Content, Any Skills Framework, Any Platform

December 24, 2020
By Maury Shenk

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LSGraph, an open source project for workforce reskilling

November 17, 2020
By Dr Jonathan Street

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LearnerShape and Ethical AI

November 2, 2020
By Dr Fintan Nagle, Dr Selin Nugent, and Prof. Kevin Maynard

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.

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How AI Allows for Reskilling To Be Flexible

October 16, 2020
By Dr Jonathan Street

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.

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How to reskill your workforce at scale in the age of AI

September 28, 2020
By Maury Shenk

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.

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Remote working and mental health

August 31, 2020
By Chris Hall and Dr Fintan Nagle

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.

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The LearnerShape skill map: seeing skills dynamically

July 30, 2020
By Dr Fintan Nagle

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.

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Reskilling and Upskilling for a Post-Covid Era

June 16, 2020
By Sir David Brown

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.

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Collaborative Learning: Using AI to Make Online Learning More Human

May 30, 2020
By Maury Shenk and James Fleck

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.

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Start-Ups in the Crisis: Looking to the Future

April 21, 2020
By Maury Shenk

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.

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Recreating the Traditional Learning Ecosystem Online

March 19, 2020
By Maury Shenk

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).

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The Reskilling Pipeline

February 24, 2020
By Maury Shenk

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”

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LearnerShape and the Future of Work

January 28, 2020
By Maury Shenk

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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