Premises For Rethinking Learning

?

1. All learners on the planet, starting when they're a toddler, deserve to have a learning assessment on them (done by a physical bot) which assesses how they learn or don't learn, how they work with others or don't work with others, their aptitudes etc.
2. All this data is fed into a Learner Data Vault (LDV) which the learner controls through their lifetime until their death (and via their parents/legal guardians while they're a legal minor)
3. On top of the LDV sits a Digital Learning Twin (DLT) which is registered against the learner's legal identity. It takes the data and produces the learner's first Individualized Education Plan (IEP), which is quite different than IEP's today. It takes in the learner's learning style, and leverages creativity, within the learner, whenever and wherever possible.
4. In the not-so-distant future, the learner is sent home with their own learning assistant bot (AssistBot). This is a physical and digital bot which is registered against the learner's legal identity. To see early days of this, look at QT Robot (https://luxai.com/humanoid-social-robot-for-research-and-teaching/ ) These bots require learning credentials which are assigned to the bot by reputable government and learning agencies. Over time, not overnight, leveraging the learner's LDV and DLT, the bots will assess how the learner plays, struggles, etc. They might decide to bring in a human learning specialist (rethought teachers). This might be done physically or digitally leveraging tech like AI/AR/VR etc.
5. When the learner shows up for their first day of school, it's radically different than when I showed up six decades ago. The parent or legal guardian gives their consent for the learner's LDV, DLT and IEP's to be used by the school's now rethought LMS (Learning Management System). The learner's AssistBot might go to school with them. This changes the way that schools will operate in the not-so-distant future. They'll no longer work by the factory model that Sir Ken Robinson so eloquently spoke to in his Ted talks. So, let's say Mary Doe, daughter of Jane Doe, is autistic yet very academically gifted. The school's teacher might be Mary GoodTeacher located within the school or someplace else on the planet. She'll be assisted by her two teaching assistant bots, PattyBot and BobBot. All three of them will have credentials issued by reputable agencies and easily checked by Jane Doe. Mary might be able to do university level courses while she's in elementary.
6. Mary and her AssistBot will be in a learning hive. This comprises her other fellow learners and their learning assistant bots, Mary Goodteacher, SallyBot and BobBot, other AI learning systems, etc. I suggest readers skim these two articles to see what's coming: ?“The Coming Classroom Revolution – Privacy & Internet of Things In A Classroom” – https://www.dhirubhai.net/pulse/coming-classroom-revolution-guy-huntington/ ?“Hives, AI, Agents/Bots & Humans - Another Whopper Sized Problem”- https://www.dhirubhai.net/pulse/hives-ai-bots-humans-another-whopper-sized-problem-guy-huntington

I can easily see times when little or no tech is used with a learner, to other times when it's heavily used. Human interactions are a key part of our life. However, when and how they're used will be different than today's model of having 20-30 kids sitting in a classroom getting taught be their teacher. Creativity, allowing kids to make mistakes, fostering collaborative behaviours, etc. will be learnt differently, depending on the learner, their circumstances, and the desired learning outcomes.

Food for thought, Guy ??