Vision: 
Learning Journey of Two Young Kids in a Remote Village
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Vision: Learning Journey of Two Young Kids in a Remote Village

Vision Story

Sheena and Rohit are two four-year old’s living in a remote village which doesn’t have electricity or internet connectivity.?There is a one room schoolhouse in the village.?

One day some learning aid people appear to talk with the village elders.?They study the area and propose bringing on some technology which will give the village a renewable source of electricity and internet connectivity.?The elders agree.?A few months later, the village now has electricity and internet access.?

A remote learning specialist then appears.?They bring with them a physical bot which is used for learning assessment. Both Sheena and Rohit work with the bot and the learning specialist.?

The bot takes in all sorts of different information, assessing their eyesight, sound, smell, hand-eye coordination abilities, their ability to communicate with others, ability to learn, eye blinks per second, where they look, etc.?For each child, the bot then produces a DLT (Digital Learning Twin), as well as an IEP (Individualized Education Plan).

The bot and the learning specialist realize:

  • Sheena is very gifted in mathematics
  • Rohit is on the ADHD spectrum

Thus, they create very different IEP’s for each child.?

The learning specialist brings with them a learning assistant bot.?This is a physical bot able to work with kids of various learning styles and abilities.?They also bring in some AI/AR/VR plus laptop technology.?Both the bot and the tech have been specially designed for remote locations.

In the early days, there’s only one learning assistant bot per village, and a limited number of AI/AR/VR and laptop tech.?So, the teacher is taught how to use the learning assistant bot and the tech by the learning specialist, as well as other learning specialists online, using the AI/AR/VR environment.?

Sheena, at age four, is given a few hours a week, individualized learning, leveraging the laptop and AI/AR/VR environments allowing her mathematical abilities to flourish.?

The DLT/IEP realize Rohit learns best by physically doing things.?Thus, Rohit is also given specialized learning, leveraging a few hours a week with the learning assistant as well as the AI/AR/VR environments. Rohit can physically/digitally do things in this environment.?

In the AI/AR/VR environments they’re introduced to Sally Goodteacher, a remote learning teacher located somewhere else on the planet.?She’s assisted in the environment by PattyBot and BobBot, two virtual teaching assistants.?

One day, some criminals with guns appear in the village, taking all the tech.?They want to use it themselves.?However, when they go to their base, they find out the tech doesn’t work. It’s tied to the physical location of the remote school as well as to each learner.?

A few months later, the same criminals return to the village which now has a replacement set of technology.?They dump the tech in the village outhouse.?Once the criminals leave, the villagers take the tech out of the urine and shit, clean it up, and it works!?The tech has been designed for just this disaster scenario.

As the years pass, Sheena can do university level maths while still in primary/secondary age groups. She goes on to attending university, initially from the village, and then physically going to it.??She’s also made a friend with one of the online students in the AI/AR/VR environments, Eve.?They become lifelong friends.

Rohit has learnt he likes growing things.?The DLT/IEP, plus the learning specialist and his physical teacher in the village, work with Rohit to learn biology, agriculture, genetics, applying this to growing things.?With global warming affecting their local crops. Rohit becomes a leader in the village with respect to selecting genetically modified crops able to withstand the increase in temperature and different growing seasons.

As the price points drop for the technology used in the village, more learning assistant bot and AI/AR/VR tech appears.?Adults too can now have a learning assessment done on them.?Rohit’s mother, Aanya, wants to go back to school to learn. She does so leveraging the same learning infrastructure her son used.?Over time, she becomes an engineer.?

It’s transformational, over time, not overnight.?The village plugs into the global learning revolution.?It changes their economy, how they live, and their view of the planet on which they live.?They’re not left behind.

To Learn More

Skim this paper which contains diagrams, discussion about the challenges in implementing this, etc.

About Guy Huntington

I'm an identity trailblazing problem solver. My past clients include Boeing, Capital One and the Government of Alberta's Digital Citizen Identity & Authentication project. Many of my past projects were leading edge at the time in the identity/security space. I've spent the last eight years working my way through creating a new legal identity architecture and leveraging this to then rethink learning.

I've also done a lot in education as a volunteer over my lifetime.?This included chairing my school district's technology committee in the 90's - which resulted in wiring most of the schools with optic fiber, behind building a technology leveraged school, and past president of Skills Canada BC and Skills Canada.

I do short term consulting for Boards, C-suites and Governments, assisting them in readying themselves for the arrival of AI systems, bots and AI leveraged, smart digital identities of humans.

I've written LOTS about the change coming. Skim the?over 100 LinkedIn articles?I've written,?or my webpage?with lots of papers.

Quotes I REALLY LIKE!!!!!!:

  • We cannot solve our problems with the same thinking we used when we created them” – Albert Einstein
  • “Change is hard at first, messy in the middle and gorgeous at the end.” – Robin Sharma
  • “Change is the law of life. And those who look only to the past or present are certain to miss the future” – John F. Kennedy

Reference Links:

An Identity Day in The Life:

My Message To Government & Industry Leaders:

National Security:

Rethinking Legal Identity, Credentials & Learning:

Learning Vision:

Creativity:

AI Agents:

Architecture:

AI/Human Legal Identity/Learning Cost References

AI Leveraged, Smart Digital Identities of Humans:

CISO's:

Companies, C-Suites and Boards:

Legal Identity & TODA:

Enterprise Articles:

Rethinking Enterprise Architecture In The Age of AI:

LLC's & AI:

Challenges With AI:

New Security Model:

DAO:

Kids:

Sex:

Schools:

Biometrics:

Legal Identity:

Identity, Death, Laws & Processes:

Open Source:

Notaries:

Climate Change, Migration & Legal Identity:

"Human Migration, Physical and Digital Legal Identity - A Thought Paper

Fraud/Crime:

Behavioral Marketing:

AI Systems and Bots:

Contract Law:

Insurance:

Health:

AI/AR/VR Metaverse Type Environments:

SOLICT:

EMP/HEMP Data Centre Protection:

Climate:

A 100,000-Foot Level Summary Of Legal Human Identity

  • Each person when they’re born has their legal identity data plus their forensic biometrics (fingerprints, and later when they can keep their eyes open – their iris) entered into a new age CRVS system (Civil Registration Vital Statistics - birth, name/gender change, marriage/divorce and death registry) with data standards
  • The CRVS writes to an external database, per single person, the identity data plus their forensic biometrics called a SOLICT “Source of Legal Identity & Credential Truth).?The person now controls this
  • As well, the CRVS also writes to the SOLICT legal identity relationships e.g. child/parent, cryptographically linking the SOLICTs.?So Jane Doe and her son John will have cryptographic digitally signed links showing their parent/child.?The same methodology can be used for power of attorney/person, executor of estate/deceased, etc.
  • The SOLICT in turn then pushes out the information to four different types of LSSI Devices “Legal Self-Sovereign Identity”; physical ID card, digital legal identity app, biometrically tied physical wristband containing identity information or a chip inserted into each person
  • The person is now able, with their consent, to release legal identity information about themselves.?This ranges from being able to legally, anonymously prove they’re a human (and not a bot), above or below age of consent, Covid vaccinated, etc.?It also means they can, at their discretion, release portions of their identity like gender, first name, legal name, address, etc.
  • NOTE: All consents granted by the person are stored in their SOLICT
  • Consent management for each person will be managed by their PIAM “Personal Identity Access Management) system.?This is AI leveraged, allowing the person, at their discretion, to automatically create consent legal agreements on the fly
  • It works both locally and globally, physically and digitally anywhere on the planet
  • AI systems/bots are also registered, where risk requires it, in the new age CRVS system
  • Governance and continual threat assessment, is done by a new, global, independent, non-profit funded by a very small charge per CRVS event to a jurisdiction to a maximum yearly amount.

A 100,000-Foot Level Summary Of The Learning Vision:

  • When the learner is a toddler, with their parents’ consent, they’ll be assessed by a physical bot for their learning abilities.?This will include sight, sound, hearing and smell, as well as hand-eye coordination, how they work or don’t work with others, learning abilities, all leveraging biometric and behavioral data
  • All consents given on behalf of the learner or, later in the learner’s life by the learner themselves, are stored in the learner’s SOLICT “Source of Legal Identity & Credential Truth
  • This is fed into a DLT “Digital Learning Twin”, which is created and legally bound to the learner
  • The DLT the produces its first IEP “Individualized Education Plan”, for the learner
  • The parents take home with them a learning assistant bot to assist the learner, each day, in learning.?The bot updates the DLT, which in turn continually refines the learner’s IEP
  • All learning data from the learner is stored in their LDV “Learner Data Vault”
  • When the learner’s first day of school comes, the parents prove the learner and their identities and legal relationship with the learner, via their LSSI devices (Legal Self-Sovereign Identity)
  • With their consent, they approve how the learner’s identity information will be used not only within the school, but also in AI/AR/VR learning environments
  • As well, the parents give their consent for the learner’s DLT, IEP and learning assistant bot to be used, via their PIAM (Personal Identity Access Management) and the learner’s PIAM
  • The schools LMS “Learning Management System” instantly takes the legal consent agreements, plus the learner’s identity and learning information, and integrates this with the school’s learning systems
  • From the first day, each learner is delivered a customized learning program, continually updated by both human and AI system/bot learning specialists, as well as sensors, learning assessments, etc.
  • All learner data collected in the school, is stored in the learner’s LDV
  • If the learner enters any AI/AR/VR type learning environment, consent agreements are created instantly on the fly with the learner, school, school districts, learning specialists, etc.?
  • These specify how the learner will be identified, learning data use, storage, deletion, etc.
  • When the learner acquires learning credentials, these are digitally signed by the authoritative learning authority, and written to the learner’s SOLICT.
  • The SOLICT in turn pushes these out to the learner’s LSSI devices
  • The learner is now in control of their learning credentials
  • When the learner graduates, they’ll be able, with their consent, to offer use of their DLT, IEP and LDV to employers, post-secondary, etc.?This significantly reduces time and costs to train or help the learner learn
  • The learner continually leverages their DLT/IEP/LDV until their die i.e., it’s a lifelong learning system
  • IT’S TRANSFORMATIONAL OVER TIME, NOT OVERNIGHT




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