Intelligence 4.0: the power behind the Revolution Luckin [email protected] Evidence-based A.I. platform that monitors child’s early development and generates

Intelligence 4.0: the power behind the Revolution

[email protected]

capable of actions and behaviours “requiring intelligence when done by humans” (2018)

1956 Dartmouth College Conference. 10-man, 2 month study built on the premise that:

“every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be

made to simulate it. ”

“use language, form abstractions and concepts, solve [the] kinds of problems now reserved for humans, and improve themselves”

”The 2 month, 10-man study would make: “a significant advance” in finding out how to make machines that could do at least one

of the following:

• “The risk is that the education system will be churning out humans who are no more than second-rate computers, so if the focus of education continues to be on transferring explicit knowledge across the generations, we will be in trouble.” (Financial Times 2017)

Intelligence

Psychology

Computer Science

Philosophy

Linguistics

AI techniques

Neuroscience

1956 Dartmouth College Conference. 10-man, 2 month study built on the premise that:

“every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be

made to simulate it. ”

“use language, form abstractions and concepts, solve [the] kinds of problems now reserved for humans, and improve themselves”

”The 2 month, 10-man study would make: “a significant advance” in finding out how to make machines that could do at least one

of the following:

Artificial Intelligence (AI) is intelligent in a particular sort of way, Humans are intelligent in many ways. AI and HI

are not the same and the differences are extremely important.

Blending Human and Machine Intelligence for Education and Training

Tackling Educational Challenges

Global Teacher Shortages

Balanced teacher workload

Achievement Gaps

Exam Anxiety

Educating the world

Personal Scaffolding

More effective Teaching

Lifelong Learning

L3 Engage educators, trainers, researchers and AI developers

in the co-development and application of AI technology

that is specifically designed for education and training.

L1 Train educators and trainers to

work effectively with AI and AI

developers

L2 Train AIdevelopers to work

effectively with educators and trainers and to

understand more about teaching and

learningData,

evidence and research

L3 Tackle Educational Challenges using AI

L1 Prioritize the development of

our own non-automatable

human intelligence

L2 Educate people about

AI

E.g. Attention

Algorithms automatically increase the number

of training loops for the domains where you

have the greatest need…

PS EF

WM

EM

If attention is your greatest need you will receive more Attention loops → building resilience in AttentionAs you progress the loops become more challenging

A A A A A

Cognitive sciences

We create learning routes

of activities on K12 Core

Subjects (math, science,

language) based on the

outcomes of Cognitive

Science research: « how

brain learns ?»

Artificial Intelligence

We strengthen those

activities through

an AI engine:

« what are the successful

paths for a student to

understand ?»

EvidenceB AI engine:

1. Identifies student profiles based on their skills in different types of exercises

(clustering, biclustering)

2. Offers recommendations based on the history collected by their profiles

(collaborative filtering), then based on the

3. history of each child (reinforcement learning)

4. Constantly adapts to new students and to new content (multi-armed bandit

algorithm)

5. Answers to open questions asked by students through fitted activities or with the

help of answers from the data base (deep learning)

Questions

Answers

Data AI

Activity

+ previous data

Success / Failure

Activity (next part)

Teacher

dashboard

Adaptiv learning

routes

Next activity

student

teacher

[email protected],

co-founder&CEO

[email protected],

co-founder&GM

www.EvidenceB.com

m - Sensei makes a

unique learner profi le based

on each student ’s current

knowledge and learning

needs

Passed Fai led Assum ed knowledge Ready to Learn Next

m- Sensei

Based on per f or m ance on Mangahigh, our al gor i t hm gener at es

un ique r ecom m endat i ons f or each st udent t o suppor t t hei r l ear n i ng

Adaptive Math Tutor

Fai l

8 t im es

table

Pass

EXAMPLE: i f a st udent f ai l s an act i v i t y such as ‘8 Tim es Tabl e’ ,

he/ she m ight be r ecom m ended ‘4 Tim es Table’

Wor k assigned

by the Teacher

4 times

table

Fai l Fai l

Count ing in

4s

Pass

• Assess• Train• Monitor• Repeat

AI analyses our cognitive data and automatically produces a recipe for the training programme to improve resilience and improve performance

PS EF WM EMA A A A A

[email protected]

Evidence-based A.I. platform that monitors child’s early development and

generates personalised parenting and content recommendations

We’re at FutureBooks!

Sandra Sobanska, [email protected]

01 MONITOR 02 ANALYSE 03 IMPROVE

Shaping positive parenting habits

VISUAL

PROGRESS

SHAREABLE

REPORTS

GAMIFICATION

PERSONALISED:

Activity ideas

Books

Toys

Expert consultations

Thank you