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VISION OF EDUCATION IN 2030
BY
Kanishka Ashok Kumar Singh
Karan Kishor
Kartik Balaji
Kartik Garg
Kartik Yadav
ROBOTICS
SENSORS
INFINITE COMPUTING
AUGUMENTED
REALITY AND
VIRTUAL
REALITY
DIGITISATION
TECHNOLOGICAL GAME CHANGERS
ARTIFICIAL
INTELLIGENCE
Networking
DIGITISATION
• It is the use of any digital type of technology to teach students.
• Education accessible to everyone
• Decrease in the size of schools, taking us back to the pre expansion period .
• More than 70% of the student population to pursue online degree programmes
• Educomp was one of the pioneers in collaborating education with technology.
NETWORKS – ULTRA HIGH SPEED DATA TRANSFER
• Two-way interactive virtual video conferencing, which allows for distance learning opportunities
• Students can share interactive experiences with their virtual classes rather than just video – all with
practically no latency.
• With fast mobile internet, students would be able to attend virtual lectures and seminars in real time
with other students
• Medical students would also perform virtual dissections and procedures with guidance from a real
tutor.
• Real time translation in video conferencing.
• 5G & 6G’s superior bandwidth will enable the transmission of haptic feedback.
VIRTUAL REALITY
&
AUGMENTED REALITY
• With AR/VR coming into the game, Education will not be limited to books and lectures.
• As Visual learning is the best way to learn.
• VR will introduce a complete different way of learning.
• We Can virtually travel to
• With Augmented Reality we can get hands on practical experience
• Science Experiments
• Interactive learning
• Showcasing ideas
ARTIFICIAL INTELLIGENCE
• Performing task independently and intelligently like humans.
• Brain wave tracker used to analyze the concentration levels of students.
• Chat bots
• Al based language translator.
• Increases in competition.
• Robots capable of answering questions.
• Students become interested in Al.
INFINITE COMPUTING, SENSORS AND
ROBOTICS.
• Infinite computing is the confluence of three trends: an exponential increase in
available computing power; access to that power; and the precipitous fall in the cost of
that power.
• It’s connected to the cloud and enables near-infinite computing. Combined with sensors,
this allows robots to have situational awareness and contextual information in real time.
• Infinite computing will enhance the unsupervised learning which in return will help a
better robot human interaction in future(auto cars, security, etc).
• STEM is an example of Future education through robots in four specific disciplines —
science, technology, engineering and mathematics.
.
• In Future, Robots will teach STEM to students in their classrooms and helps in critical thinking, increasing
science literacy, and enables the next generation of innovators.
• Different types of robots are being used like M bot, Cubelets, Dash & Dots, etc. for different education
purposes and in future it is expected that these robots will be teaching larger number of students in
universities, schools & in sports.
• A sensor is a device that measures a physical quantity and converts it into a 'signal' which can be read by
an observer or by an instrument.
• Different sensors tracking biometrics that allow augmented reality activities, actuators, hardware, like
wearables, and different software applications will improve the expected results. These sensors will
improve the quality of the online education paradigm.
THANK YOU!

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Vision of Education in 2030 with Digitization, AR/VR, AI and Robotics

  • 1. VISION OF EDUCATION IN 2030 BY Kanishka Ashok Kumar Singh Karan Kishor Kartik Balaji Kartik Garg Kartik Yadav
  • 3. DIGITISATION • It is the use of any digital type of technology to teach students. • Education accessible to everyone • Decrease in the size of schools, taking us back to the pre expansion period . • More than 70% of the student population to pursue online degree programmes • Educomp was one of the pioneers in collaborating education with technology.
  • 4. NETWORKS – ULTRA HIGH SPEED DATA TRANSFER • Two-way interactive virtual video conferencing, which allows for distance learning opportunities • Students can share interactive experiences with their virtual classes rather than just video – all with practically no latency. • With fast mobile internet, students would be able to attend virtual lectures and seminars in real time with other students • Medical students would also perform virtual dissections and procedures with guidance from a real tutor. • Real time translation in video conferencing. • 5G & 6G’s superior bandwidth will enable the transmission of haptic feedback.
  • 5. VIRTUAL REALITY & AUGMENTED REALITY • With AR/VR coming into the game, Education will not be limited to books and lectures. • As Visual learning is the best way to learn. • VR will introduce a complete different way of learning. • We Can virtually travel to
  • 6. • With Augmented Reality we can get hands on practical experience • Science Experiments • Interactive learning • Showcasing ideas
  • 7. ARTIFICIAL INTELLIGENCE • Performing task independently and intelligently like humans. • Brain wave tracker used to analyze the concentration levels of students. • Chat bots • Al based language translator. • Increases in competition. • Robots capable of answering questions. • Students become interested in Al.
  • 8. INFINITE COMPUTING, SENSORS AND ROBOTICS. • Infinite computing is the confluence of three trends: an exponential increase in available computing power; access to that power; and the precipitous fall in the cost of that power. • It’s connected to the cloud and enables near-infinite computing. Combined with sensors, this allows robots to have situational awareness and contextual information in real time. • Infinite computing will enhance the unsupervised learning which in return will help a better robot human interaction in future(auto cars, security, etc). • STEM is an example of Future education through robots in four specific disciplines — science, technology, engineering and mathematics.
  • 9. . • In Future, Robots will teach STEM to students in their classrooms and helps in critical thinking, increasing science literacy, and enables the next generation of innovators. • Different types of robots are being used like M bot, Cubelets, Dash & Dots, etc. for different education purposes and in future it is expected that these robots will be teaching larger number of students in universities, schools & in sports. • A sensor is a device that measures a physical quantity and converts it into a 'signal' which can be read by an observer or by an instrument. • Different sensors tracking biometrics that allow augmented reality activities, actuators, hardware, like wearables, and different software applications will improve the expected results. These sensors will improve the quality of the online education paradigm.