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Page 1: Artificial Intelligence & Global Education....Artificial Intelligence & Global Education. Artificial Intelligence is the fastest growing advanced technology category in education.

Artificial Intelligence & Global Education. Artificial Intelligence is the fastest growing advanced technology category in education. AI is being deployed across all parts of the education value chain, with the greatest value being delivered in learning processes, student support and identity/security. Greatest potential for AI is predicted in assessment and language learning.

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Page 3: Artificial Intelligence & Global Education....Artificial Intelligence & Global Education. Artificial Intelligence is the fastest growing advanced technology category in education.

ARTIFICIAL INTELLIGENCE & GLOBAL EDUCATION

Table of ContentsExecutive Summary 4

Core Applications 6

AI in Education Market Map 7

AI in Education Adoption 8

Adoption Intensity 9

AI Strategy Landscape 10

AI Definitions and Growth 11

Defining Artificial Intelligence 12

Elements of AI 13

Human Level Performance Milestones 14

AI Job Openings 15

AI Patents 16

Earnings Call Mentions 17

Research 18

Research Focus by Geography 19

AU Conferences Attendance 20

AI & ML Enrolments 21

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This report is an executive briefing on innovation and technology in the global education market.

This report is issued by HolonIQ to clients only. It is for general informational purposes and is not guaranteed as to accuracy or completeness. The analysis and forecasts are subject to change without notice. All figures are in USD unless otherwise stated. HolonIQ does not accept any liability arising from the use of this report. For more information and press enquiries please contact [email protected].

Copyright 2019 HolonIQ. All rights reserved. Intended for recipient only and not for further distribution or web loading without the consent of HolonIQ.

AI in the Education Market 23

Market Size and Growth 24

Impact 25

Value Creation 26

Learning Processes 27

Assessment & Feedback 28

Learner & Talent Acquisition 29

Administration & Business Processes 30

Language Learning 31

Corporate Training 32

AI Adoption and Development 33

Adoption 34

Deployment Reasons 35

Capability Development 36

Reasons Adopted 37

Enablers 38

Challenges 39

AI Applications 40

Core AI Applications 41

AI’s Impact by Technology 42

Case Studies 43

Vision 44

Voice 46

NLP 51

Algorithms 55

Hardware 61

Global AI Strategy Landscape 65

Country Profiles 67

AI Glossary 79

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Core AI Applications

VisionVision-base AI is being used in learning and

administrative contexts. Emotion recognition can

assist in detecting learners’ confusion or

engagement while face detection can be used for attendance management,

parent/carer access or identity management for

testing.

AI applications have been categorised into five areas that help map the underlying technology to specific use-cases. Generally, uses of artificial intelligence will deploy in one or more of the following categories.

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ARTIFICIAL INTELLIGENCE & GLOBAL EDUCATION

VoiceCampuses and classrooms are starting to use speech to text and voice interface

to support campus life and learning activities. Applications for literacy

development and language learning are some of the first to use

voice recognition in education settings.

Natural LanguageDeciphering human

language is still one of the most difficult AI problems

due to its complexity. However, advances over the past few years have seen applications of NLP into educational contexts such assessing levels of

understanding, providing feedback and plagiarism

detection.

AlgorithmsDeep learning and

machine learning are most prevalent in ‘personalized learning’ systems. Content

intelligence and automation, behavioural

recommendations provide notifications, intelligent

content delivery and personalized learning

pathways.

HardwareAt the intersection of AI,

Robotics and IoT, hardware-based AI is being deployed on a variety of devices to

reduce latency and lower networking costs. Smart

devices on campus, in labs and classrooms connect

software systems, data for learning and the physical environment in new and

smart ways.

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ARTIFICIAL INTELLIGENCE & GLOBAL EDUCATION

How is adoption of AI progressing? 1 in 10 organizations have invested in and deployed artificial intelligence. 1 in 5 are conducting a pilot, and 1 in 3 have no current plans for AI.

39%

20%

14%

17%

7%

Institutions EdTech Services Enablers

13%

26%

19%

21%

20%

20%

20%

20%

18%

16%

34%

26%

18%

16%

5%

No Interest

On the radar, no action planned

In medium or long-term planning

In short-term planning

Pilot in progress or complete

Have already invested and deployed

n = 103 n = 140 n = 91 n = 39

Source: HolonIQ Global Executive Panel, April 2019. n = 3778

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AI adoption intensity in education

Source: HolonIQ, www.globallearninglandscape.org9

ARTIFICIAL INTELLIGENCE & GLOBAL EDUCATION

AI adoption spans the global learning landscape. Use in language, testing knowledge, experiential, tutoring and talent acquisition the most intense.

Very Low Low Medium High Very High

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Research Activity Focus by Region

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ARTIFICIAL INTELLIGENCE & GLOBAL EDUCATION

Relative activity focus, by region and AI research sector (2000) Relative activity focus, by region and AI research sector (2017)

AI papers in China are more focused on Engineering, Technology and Agricultural Sciences, while AI papers in the U.S. and Europe tend to focus on Humanities and Medical and Health Sciences.

Source: Elsevier. The graphs above show the Relative Activity Index (RAI) of the U.S., Europe, and China. RAI approximates a region’s specialization by comparing it to global research activity in AI. RAI is defined as the share of a country’s publication output in AI relative to the global share of publications in AI. A value of 1.0 indicates that a country’s research activity in AI corresponds exactly with the global activity in AI. A value higher than 1.0 implies a greater emphasis, while a value lower than 1.0 suggests a lesser focus.

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AI & ML International Enrolments

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ARTIFICIAL INTELLIGENCE & GLOBAL EDUCATION

1

1.1

1.2

1.3

1.4

1.5

1.6

1.7

1.8

1.9

2

2016 2017 2018

University of Edinburgh USTC (China) SJTU (China) PUC (Chile)

Growth of AI course enrolment (2016-2018)

0

2

4

6

8

10

12

14

16

18

2010 2011 2012 2013 2014 2015 2016 2017

Tsinghua (China) INAOE (Mexico) UBC (Canada)

Toronto (Canada) TU Wien (Austria) Hebrew University (Israel)

EPFL (Switzerland) MILA (Quebec, Canada)

Growth in AL + ML course enrolment – Non US (2010 – 2017)

Combined AI + ML 2017 course enrolment at Tsinghua University was 16x that of 2010. Across the schools studied, growth in AI course enrolment was found to be relatively school dependent, and not particularly influenced by geography. The first graph shows relative growth for international schools that provided data for academic years 2010 — 2017. The second graph shows relative growth for international schools that provided data for academic years 2016 — 2018.

Source: AIIndex, University Provided Data

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Global AI Strategy LandscapeARTIFICIAL INTELLIGENCE & GLOBAL EDUCATION

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Australia. ‘Prosperity Through Innovation’Four-year, $21m investment from national budget to support development of AI.

Austria. ‘Robot Council’Established a Robot Council in August 2017, with a one million euros working budget from the Ministry of Infrastructure.

Brazil. ‘E-Digital Strategy’E-Digital Strategy addresses digital transformation including AI

Canada. ‘Pan-Canadian AI Strategy’Five-year, $125m plan announced in 2017 federal budget. Led by CIFAR. Research and talent focus.

China. ‘Next Generation AI’Launched July 2017, the most comprehensive AI strategy globally with 2030 targets for a $1T RMB AI industry

Denmark. ‘Digital Growth Strategy’Broader policy focused on Big Data and IoT launched Jan 2018.

Estonia. AI Task ForceE-governance forerunner, initially focused on autonomous cars, now building a broader AI strategy.

Finland. Steering GroupSteering Group appointed May 17 releasing two interim reports. Full strategy expected very soon.

France. ‘AI for Humanity’€1.5 billion plan announced in 2018 in the ‘Villani Report’ to transform France into a global leader in AI.

Germany. €3 billion plan announced Nov 2018 with a dedicated AI strategy to make Germany & Europe a global leader in AI.

India. ‘Social Inclusion and AI Garage’Jun 2018 working paper on using AI to ensure social growth, inclusion and positioning the country as a leader in AI

IndonesiaLeading Asia-Pacific market in the adoption of and plans for AI however no dedicated AI strategy as yet

Ireland. ‘AI Island’Irish Economic Development Agency led process. AI Master program launched in 2018 and is 100% industry driven.

Israel. ’StartUp Nation needs AI Policy’Innovation Authority, tasked with AI policies, has warned that a strategy is needed to prevent falling behind.

Italy. ‘At the Service of Citizens’Interdisciplinary AI Task Force launched by ‘Digital Italy’. White paper March 2018, ‘AI: At the Service of Citizens”.

Japan. ‘Society 5.0’Strategy launched in 2017 to create sustainable solutions for better human life in Japan.

Kenya. Blockchain and AI Task ForceTask Force established Feb 2018 with a five-year planning horizon.

Malaysia. National AI FrameworkNational AI Framework launched in 2018 led by MDEC, expanding the National Big Data Analytics Framework.

Malta. ‘Malta.ai’Malta.ai launched Mar 2019 to share vision and process towards an AI strategy.

Mexico. ‘Towards an AI Strategy’Commissioned by the British Embassy in Mexico and released in June 2018. Sets foundations for a national AI strategy.

New Zealand. AI ForumMay 2018, AI Forum released a report titled, “Artificial Intelligence: Shaping a Future New Zealand.”

Poland. RoundtableMay 2018 Roundtable on AI Strategy focused on healthcare, public administration, education & cybersecurity

Qatar. Feb 19 BlueprintQatar Center for Artificial Intelligence (QCAI) launched National AI Strategy for Qatar. Announced on 7 February 2019.

Russia. Mar 18 ConferenceMarch 2018 conference made 10 policy recommendations. National Strategy expected very soon.

Singapore. ‘AI Singapore’S$150m, five-year national program launched May 2017.

Saudi Arabia. ‘Robot Citizenship’Became the first country to grant citizenship to a robot in October 2017. No dedicated AI strategy yet.

South Africa. ‘IFPTI considers AI’Intsimbi Future Production Technologies Initiative” launched in 2018 with aim to advancing manufacturing sector.

South KoreaFive-year AI development plan launched May 2018 with $1.95B budget.

Sri LankaNational Expert Strategy Advisory Committee announced Aug 2018 working on AI Strategy for Sri Lanka

SwedenNational Approach for Artificial Intelligence launched in May 2018.

Taiwan. ‘Taiwan AI Action Plan’Four-year plan launched January 2018, with 350m annual budget.

TunisiaAI Task Force and Steering Committee appointed in April 2018. Strategy expected very soon

UAEAnnounced in Oct 2017. First country to create a Ministry of AI and first in the Middle East to launch an AI strategy

United Kingdom. ‘AI Sector Deal’Announced in April 2018. $1.24B funding as part of the UK’s larger industrial strategy.

United States. ‘American AI Initiative’Launched Feb 2019 by Executive Order promote and protect AI technology. AI.gov launched Mar 2019.

Source: HolonIQ, Government Publications and Announcements 10

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WHO WE ARE

We are building the world's smartest source of global education intelligence to power decisions that matter.

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GLOBAL EDUCATION INTELLIGENCE

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