Remove 2000 Remove Brain Remove Gamification Remove Pattern
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Recommended Reading Summary: A Chapter from “How People Learn: Brain, Mind, Experience, and School”

Adobe Captivate

I recently posted some recommended reading that relates to a virtual class I recently taught on gamification. It was written in 2000 but it contains some great foundational information. Here is the recording.). This is my own summary of the first chapter on the list.

Summary 66
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AI in Education Startups: Pioneering the Future of Learning

Hurix Digital

Gamification and Learning Through Play AI can power engaging and interactive learning experiences through game-based elements. Data-Driven Insights: AI generates valuable data on student performance, learning patterns, and engagement levels. This allows startups to reach a wider audience and scale their impact with relative ease.

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Keynote Resources from #LUC2017

Kapp Notes

Research indicates that our brains grow when we make a mistake because it is a time of struggle. Our brains react with greater electrical activity when we make a mistake than when we are correct. Also see Create Autonomy in Gamification and Other Learning Environments. Gamification of Learning by Karl Kapp.

Resources 114
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70:20:10 – Above All Else It’s a Change Agent

Performance Learning Productivity

The idea that companies could neatly slice the learning patterns of their people into three carefully-defined and carefully analysed buckets like this belies belief. L&D professionals need to have tattooed onto their brains that “ 70:20:10 is a reference model and not a ''rule'' ”.

Change 100
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Clark Quinn – Crystal Balling with Learnnovators

Learnnovators

Learnnovators: You were involved in the design and development of an intelligently adaptive learning system as early as the year 2000. We were not only embedding the best research into our rules, but were adding machine learning to look for emergent patterns and tune our rules. What would future (organizational) learning look like?

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CLARK QUINN – CRYSTAL BALLING WITH LEARNNOVATORS

Learnnovators

Learnnovators: You were involved in the design and development of an intelligently adaptive learning system as early as the year 2000. We were not only embedding the best research into our rules, but were adding machine learning to look for emergent patterns and tune our rules. What would future (organizational) learning look like?

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JOE GANCI – CRYSTAL BALLING WITH LEARNNOVATORS

Learnnovators

Tool vendors that allow for social collaboration to be built into eLearning lessons, thereby giving learners the ability to converse with each other, build teams, and collaborate on projects, help to establish a lifelong pattern of continuous learning. How encouraging is the new learning landscape?