Education 4.0 is a purposeful approach to learning that lines up the fourth industrial revolution and about transforming the future of education using advanced technology and automation. This presentation slide explains the innovative practices of incorporating advanced technology in our classroom practice.
Education 4.0 - Teacher for the Future (Teacher 4.0)
1. Education 4.0
Teachers for Future
K.THIYAGU, Assistant Professor, Department of Education,
Central University of Kerala, Kasaragod
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4. The cyber-world and the physical
world arenât separate entities
anymore.
Theyâve coalesced together into
one homogenous landscape.
Cyber-world
Physical
World
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6. Education 4.0
is a
desired approach
to learning
that aligns itself
with
emerging
fourth industrial
revolution.
Education 4.0
is a purposeful approach
to learning
that lines up with the
fourth industrial revolution
and about transforming the
future of education
using
advanced technology
and
automation.
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8. Industry 1.0
(Mechanical
Production/ Water
and Stem Power)
Industry 2.0
(Mass Production
/ Electrical
Energy)
Industry 3.0
(Automate
Production / Use
of Electronics and
IT )
Industry 4.0
(Cyber-Physical
Systems)
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10. Education 4.0 is a commingling of AI, robotics, AR,
Flipped Classroom and BYOD
Education
4.0
AI
Robotics
AR
FC
BYOD
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11. Education 4.0 will require gradual paradigm sift.
Demand-led
instead of
Supply-led
Education
Competency-
based instead
of Knowledge-
based
Lifelong
learning
instead of front
loaded learning
Modular Degree
instead of one-
shot going
Emphasis on
EQ than IQ
alone
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12. McKinsey Quarterly
Where machines could replace
humansâand where they canât (yet)
https://www.mckinsey.com/business-functions/mckinsey-digital/our-
insights/where-machines-could-replace-humans-and-where-they-cant-yet
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18. This rock-paper-scissors game illustrates the basic principles of an adaptive artificial intelligence technology.
Here, the artificially intelligent system learns to identify patterns of a personâs behavior by analyzing their decision
strategies in order to predict future behavior. This game is based on the domain Data for AI where the machine collects
and analyzes data to predict future outcomes.
Rock, Paper Scissors
Link to the game: https://www.afiniti.com/corporate/rock-paper-scissors
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19. Artificial Intelligence (AI) refers to the
ability of machines to perform cognitive
tasks like thinking, perceiving, learning,
problem solving and decision making; it
is inspired by the ways people use their
brains to perceive, learn, reason out and
decide the action.
NITI Aayog
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20. Artificial intelligence (AI) is the software
engine that drives the Fourth Industrial
Revolution.
In its embodied form of robots, it will soon
be driving cars, stocking warehouses and
caring for the young and elderly.
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37. Clicbot : Educational Robot
It can listen, think and even react.
It can climb, dance, crawl or even serve morning coffee
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48. https://autodraw.com
Activity I: Autodraw!
⢠For this activity, ask the students to go to
https://autodraw.com.
⢠Once they land on this website, ask the students to
select the first icon from the left side toolbar.
⢠This icon activates the AI element of the tool.
⢠Now, ask the students to draw any shape and let the AI
algorithm detect and predict the possible drawings
similar to it.
⢠The predictions will appear in the top row. After
looking at the predictions and analyzing how accurate
the machine is, ask them to keep an image in mind (say
of a monument or a vehicle or thing etc.) and then start
drawing it roughly.
⢠Ask them to notice, at what step the machine is able to
predict the image. Once the correct image comes on the
screen, ask the students to observe the line of symmetry
in it and describe it to the whole class
Autodraw.com is an AI enabled tool
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60. Automated Feedback and Grading
The Open University UKâs Open essayist
1) reflect on the draft text
2) review how the essay is organized
3) understand how the key terms are being used
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61. Intelligent Tutoring
The University of California, San Diego The University of California
⢠To lead students through a personal learning pathway, allowing evaluation at every stage of the studentâs
learning, the course has incorporated quizzes and âjust in timeâ exercises to assess if the student has understood
the content.
⢠If a student answers incorrectly, they are directed to a remedial site to assist with content understanding and
attainment.
⢠The course also provides coding challenges to assess each studentâs progress and to replace the basic multiple-
choice quizzes prevalent in most MOOCs. CC-BY-SA (Education 4.0) 61
62. Learning
Analytics
@ The Arab University (Kuwait)
⢠Arab Open Universityâs (AOU) can identify vulnerable students by pinpointing key drivers of student attrition.
⢠One of the most promising outcomes is the decision support dashboards, such as the one related to Student Risk Factor
(SRF), a score which is composed of the studentâs current GPA, progression rate, and the number of warnings received.
⢠By identifying at risk students, the dashboard acts as an early alert system, enabling the AOU management to take
corrective actions and targeted initiatives to help struggling students get back on track for success â increasing
retention and boosting student numbers.
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63. Student
Support
Services
@ Deakin University
⢠Cognitive-computing technology, available 24/7, allows students at Deakin University
to ask IBM Watson questions about administrative and course information in natural
language in place of searching through
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64. Virtual Agents
@ Georgia Tech A
⢠Georgia Tech computer science professor created a virtual teaching assistant (TA) named Jill Watson,
based on the IBM Watson platform, to help answer the more than 10,000 forum posts in his online
course of over 300 students.
⢠The virtual TA takes routine essential questions , such as queries about proper file formats, data usage,
and the schedule of office hours - questions with firm, objective answers, while the human TAs handle
the more complex questions.. CC-BY-SA (Education 4.0) 64
65. Virtual Reality
@ Queens University (Canada)
⢠Queenâs University is using Ametros Learningâs intelligent simulations powered by IBM Watsonâs cognitive-
computing tool to focus on case-based teaching through simulations of real-world challenges, allowing
students to develop and hone decision-making and problem- solving abilities.
⢠Students use textual, visual and oral communication on the platform to practice ârealâ communication
interactions with artificially intelligent characters. The simulation platform creates a rich, risk-free
simulated environment in their chosen field, where students learn through experience
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66. Personalized Adaptive Learning Environment
@ University of Zagreb
⢠Spaced repetition is a learning technique that uses increasing intervals of time between learning new content and
the review of previously learned content.
⢠It is usually applied in language learning to accommodate the large amount of content to be retained in the
studentâs long-term memory.
⢠Software can adapt to the studentâs prior knowledge and use that information to help the student memorize
characters, vocabulary, and phrases by determining how frequently the student must review content so it stays in
their long-term memory. CC-BY-SA (Education 4.0) 66
67. Online Proctoring
@ Stevens Institute of Technology
⢠A team from Stevens Institute of Technologyâs School of
Engineering and Science piloted a virtual laboratory tool
with biometric authentication used to identify the
student and monitor their actions via remote proctoring
using facial recognition techniques to an undergraduate
mechanical engineering course.
⢠When using the virtual laboratory tool, the students log
in by scanning their faces with a web camera. While
performing a laboratory assessment, the student sits in
front of the camera and the virtual laboratory tool
monitors their facial expressions and head motions in
order to identify suspicious behaviours. Upon detection
of such behaviours, the tool records a video for further
analysis by the laboratory administrator. The virtual lab
tool with a virtual proctor works well and provides a
high degree of accuracy in detecting suspicious
behaviour during assessments.
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