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Every module has an AI generated audio introduction (text to speech), that explains what you have to do and to relax about getting things wrong, as it is OK to make mistakes while learning. Staff then read the standards and, rather than click on multiple-choice questions, have to bring to mind and type in the behavioural standards. This ‘effortful’ learning was inspired by recent research in learning that shows recall, with open input, is superior for retention to simply recognising answers from a list.

The six modules were literally created in a day, as the AI created the content, by identifying the relevant learning points and automatically creating the learning experiences. anoxia neonatal causas This superfast production process meant that quality assurance could be done on the real modules, without the need for design documents and scripts.


There was no need for multiple iterations by SMEs, as the original document contained all the necessary knowledge. The look and feel, logo, images, palette numbers for screen features were quickly agreed. Everything from brief to final delivery was done through Skype. Not a single face-to-face meeting was necessary.

I work in AI in learning, have an AI learning company, invest in AI EdTech companies, am on the board of two other AI learning companies, speak on the subject all over the world, write constantly on the subject . You’d expect me to be a big fan of data analytics and recommendation engines – I’m not. Not yet. I’d never say never but so much of this seems like playing around with the problem, rather than facing up to solving the problem. hypoxic brain damage after cardiac arrest That’s not to say you should ignore its uses – just don’t get sucked into data analytics projects in learning that promise lots but deliver little. Far better to focus on the use of data in adaptive learning or small scale teaching and learning projects where relatively small amounts of data can be put to good use.

AI is many things and a far better use of AI in learning, is, in my opinion, to improve teaching through engagement, support, personalised, adaptive learning, better feedback, student support, active learning, content creation ( WildFire) and assessment. All of these are available right now. They address the REAL problem – teaching and learning.

This, I think, will be an area of huge change as the limited forms of MCQ start to be replaced by open input; of words, numbers and short text answers. NLP allows us to interpret this text. We do all three in WildFire with little interactive design (only editing out which ones we want). phobic anxiety disorder icd 10 There is also voice interaction to consider, which we have been implementing, so that the entire learning experience, all navigation and interaction, is voice-driven. This needs some extra skills in terms of managing expectations and dealing with the vagaries of speech recognition software. Personalisation may also have to be considered. social phobia meaning in hindi I’m an investor and Director in one of the word’s most sophisticated adaptive learning companies CogBooks, believe me this software is sophisticated and the sequencing has to be handled by software not designers, that’s what makes personalisation on scale possible. With chatbots, where we’ve been designing everything from invisible LSM bots to tutorbots, the whole form of interaction changes and you need to see how they fit into workflow through existing collaborative tools such as Slack or Microsoft teams. there’s a lot of opportunities out there.

As online learning became trapped in ‘media production’ most of the effort and budget went into the production of graphics (often illustrative and not meaningfully instructive), animation (often overworked) and video ( not enough in itself). M edia rich is not necessarily mind rich and the research from Mayer and others, showing that the excessive use of media can inhibit learning is often ignored. We will see this change as the balance shifts towards effortful and more efficient learning. There will still be the need for good media production but it will lessen as AI can produce text from audio, create text and dialogue. Video is never enough in learning and needs to be supplemented by other forms of active learning. diffuse hypoxic ischemic brain injury AI can do this, making video an even stronger medium. Curation strategies are also important. We often produce content that is already there but AI helps automatically link to content or provides tools for curating content. Lastly, a word on design thinking. The danger is in seeing every learning experience as a uniquely designed thing, to be subjected to an expensive design thinking process, when design can be embodied in good interface design, use A/B testing and avoid the trap of seeing learning as all about look and feel. Design matters but learning matters more.

AI is here. nanoxia project s midi Few argue that it will change the very nature of employment and therefore it will change what you learn, how you learn and even why you learn. We are, at last, emerging from a 30 year paradigm of media production and multiple choice questions, in largely flat and unintelligent learning experiences, towards smart, intelligent online learning, that behaves more like a good teacher, where you are taught as an individual with a personalised experience, challenged and, rather than endlessly choosing from lists, engage in effortful learning, using dialogue, even voice. As a Learning designer, Interactive designer, project Manager, Producer, whatever, this is the most exciting thing to have happened in the last 30 years of learning.

Most of the Interactive Designers I have known, worked with and hired over the last 30 plus years have been skilled people, sensitive to the needs of learners but we must always be willing to ‘learn’, for that is our vocation. To stop learning is to do learning a disservice. So make the leap!

In addition, those in HR and L&D will have to get to grips with AI. It will change the very nature of the workforce, which is our business. This means it will change WHY we learn WHAT we learn and HOW we learn. Almost all online experiences are now mediated by AI – Facebook, Twitter, Instagram, Amazon, Netflix…. except in learning! But that is about to change.