Bots in the Classroom
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Bots in the Classroom

December 27, 2023 update - I strongly suggest readers skim How Do I Trust Entities??? Different Levels of Identity & Credential Assurance - A Thought Paper”. and “My Learning Journey”.

June 13, 2023 update - I strongly advise readers to skim these recent articles:

There's a wave of change beginning to lap at school doors...bots. This post will examine:

  • Today's use of both physical and virtual bots in schools
  • Costs associated with the new technology
  • Propose a rethink of the current system
  • Digital learning twin
  • New age identity & privacy framework
  • Roles, data privacy & liability
  • Virtual students
  • Human and bot teachers
  • Teaching bot singularity
  • Ethics & schools
  • Assessments
  • Wind of change

Bots Are Here

Physical and virtual bots are now entering classrooms. Examples include but aren't limited to:

Chipping Away at Education

All of the above examples are, what I call in my head, "using technology to chip away" at portions of the current education system. From many different perspectives, they're trying to rethink portions of the system.

Some of them are producing measurable learning results BUT, from an educational administrator's perspective, many of them aren't reducing costs to the existing system's budgets. Instead, in addition to the teachers, the largest cost centre in schools, they're adding new capital/operating costs to the budget.

My premise? The school system needs to be rethought such that each student is equally addressed, while costs are reduced.

Rethinking the Education System

Several years ago, I went out for a coffee with the former superintendent of my school district. Together, leveraging technology, we had implemented many different changes. I told him we had failed. He looked at me like I was a dummy, rattling off the many things we had done, asking why I would say such a thing?

I replied that we hadn't changed the underlying system. The first day of school, a student shows up together with 20-30 other students. The teacher at the front doesn't know them, their learning strengths and weaknesses. The conveyor belt of the system begins to move, i.e. time. Students, like myself, who can easily learn, thrive. Others, who have different learning challenges begin to fall of the wagon, so to speak.

After some thought, he asked me what I was proposing? I stated before a child enters a classroom, the first requirement is to do a in-depth assessment of them. This includes their physical abilities (e.g. motor, sight, sound skills, etc.), aptitudes, learning abilities, abilities to work with others, etc.

Take this, and then begin to create a learning plan per child. It would likely involve a wide variety of different techniques, resources, humans and technology, at different times, for different subjects, etc. Then do continual assessments.

At the time of our conversation, digital twins, AI, technology to monitor/predict people's behavioral/biometrics, and bots, both physical and virtual, was all in its early days.

Digital Learning Twin

Before any technology is used, or any teacher begins to teach, the first thing is to understand the learner. In "Digital Identities, Students & Privacy" I lay out the idea of creating a learning digital twin. The technology is emerging, allowing creation of what I told my friend about.

Vision:

Skim these three papers to see a new learning vision:

New Learning Architecture:

Skim this new learning architecture which lays out the vision:

New Age Identity & Privacy Architecture For Humans and AI Systems/Bots

Skim these two architecture docs:

Humans:

AI Systems/Bots:

Roles, Data Privacy & Liability

This paper "Humanoid Robots as Teachers and a Proposed Code of Practice", examines the role of bots and teachers in the classroom moving forward, suggesting a code of practice. It also touches on privacy of student data and liability.

In "Digital Identities, Students & Privacy", I dive into the same waters. Bots, of any type, bring with them AI, plus the ability of continual behavioral/biometric monitoring. All of which leads to whopper sized databases, which can be used to predict a student's behavior, long after they've graduated. Note that in most of the above examples, this topic isn't mentioned.

Virtual Students

In "Digital Twins/Virtual Selves, Identity, Security & Death", I discuss the rapid emergence of virtual selves. With the advent of AI/AR glasses, it merges formerly online and offline worlds. All I can see in my head, is a confusing world of entities, both physical and virtual, heading towards the classroom. As an old guy, I see it as the coming to life of this old scene from Star Wars, where Princess Leia sends a message.

Skim these articles to see the world of privacy as we know it in a classroom is coming to an end:

Human and Bot Teachers

The digital learning twin will constantly recommend customized learning pathways for each student. Going back to my prior point about budgets, the new system must be able to deliver, for each student, the best learning for them, at a lower cost. Thus, different degrees of automation will be used, at different points along a student's learning pathway, as and when it works.

As the research paper noted above states, teaching roles will change. A teacher may still teach to some students, some of the time. The teacher might physically be in the same classroom as the student, or located on the other side of the planet. It's a mind-shift most educators aren't thinking of.

Bots, both physical and virtual, will be used, at the right place and time, for each student, given each student's learning plan. The bots may facilitate group work, teach independently, etc.

Teaching Bot Singularity

In the thought paper "Artificial Intelligence & Legal Identification", I discuss bots working together in singularity. The ability to work together in singularity isn't here yet, but it's coming. What was once the age of science fiction is now on our doorstep.

To see an example of 2,300 physical bots working together in a modern warehouse watch this video:

Thus, it begs the question on how teaching bots will be able or unable to collectively work together? Much thought needs to be put into this, since the effects on privacy, over time, will be stunning.

Ethics & Schools

Into all of the above enters ethics. In a fast changing planet due to this curve, what ethics need to be taught in our schools? There's currently much debate about ethics for AI, gender, race, et al. Pushing aside for the moment what ethics needs to be taught, can bots "teach it" in an unbiased way?

Today, the likely answer is no. BUT, with the rapid pace of change, it's not inconceivable, in the not so distant future, they could. The proposed code of practice referred to above, needs to be adjusted to include standards for teaching of ethics.

Assessments

In "AI, Cheating & Future of Schools/Work", I examine the current arms race leveraging AI, wireless et al to cheat. At the end it states "Given the rapid change, instead of trying to prevent Jane Doe from cheating on an exam, essay or HR assessment, why not consider?rethinking schools?and business with new age tools to rethink learning, assessment and work? Leverage the technology, rather than try to swim against it."

Wind of Change

In the 90's Scorpion song "Wind of Change", it contains the words "Take me to the magic of the moment, on a glory night, where the children of tomorrow dream away, in the wind of change." The video ends with the statement of a female astronaut, "When you look at it up here, you get an appreciation of our world is a beautiful place, and we do need to take care of it."

We have choices. We can let technology lead us or, we can lead it, to leverage our children's lives, such that they may live their dreams. It's time to rethink our learning systems, from the child learner's perspective, planet wide.

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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