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When AI Meets Education: Opportunities and
Innovations
Brad Zdenek
Innovation Strategist
November 2, 2017
•Provide Context
•Answer “What is AI?”
•Detail Opportunities
•Examples of the How
•Glimpse of what’s ahead
Our Goals
90%of the data in the world today
was created in the last 2 years
(IBM Industry Insights 2017)
Internet Age
to an
Innovation Age
What is AI?
Intelligence can be generally
described as the ability to
perceive information, and
retain it as knowledge to be
applied towards adaptive
behaviors within an
environment or context.
“Intelligence," Wikipedia: The Free Encyclopedia
Artificial Intelligence
•An artificial device capable of perceiving its
environment and taking actions that maximize its
chance of success at some goal.
KeyTerms
Machine Learning
•An artificial device capable of learning from its
environment without being explicitly programmed.
KeyTerms
Neural Networks & Deep Learning
•Biologically-inspired programming paradigm which
enables a computer to learn from observational
data.
KeyTerms
https://blogs.nvidia.com/blog/2016/07/29/whats-difference-
artificial-intelligence-machine-learning-deep-learning-ai/
Black Box vs. Open
•Natural Language
Processing
•Speech Recognition
•Image Processing
•Data Mining
•Pattern Recognition
•Analytics
Components
SoWhat?
85%of customer interactions will be
managed without a human by
2020
(Gartner Report 2017)
45%of the fastest growing
companies will employ more
virtual assistants than humans
by the end of 2018
(Gartner Report 2017)
38%of jobs in the U.S. could be
vulnerable to AI by the early
2030s
(PwC’s Global Artificial Intelligence Study 2017)
“Innovation is the ability
to see change as an
opportunity – not a
threat.”
- Steve Jobs
Opportunity
Student Experience
Support Teaching
Boost Efficiency
Boost Efficiency
Augment Learning
Environments
A Strategic Perspective
Closing Thoughts
edtechnetwork.psu.edu
Brad Zdenek
baz122@psu.edu

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When AI Meets Education: Opportunities and Innovations 2017.11.02

Editor's Notes

  1. Introduce Myself Very short background
  2. This is what we will attempt to do today
  3. Moore’s Law = number of transistors in a dense integrated circuit doubles approximately every two years Geometric expansion of computing capability We are in an age of amazing progress in computing capability, driven by advancements in GPUs That’s great, but so what if my cat video loads a bit faster?
  4. Freely given data combined with massive storage capabilities 100gb/day in 1992 50,000gb/day in 2018
  5. We are moving from an Internet Age to an Innovation Age. Starting in the mid 1990’s, the Internet connected the globe and sparked unprecedented innovation and unleashed a pace of change that had never been experienced. It is the Internet that enabled new paradigms for education. It has allowed us to challenge the status quo and open up new opportunities for learners and our educational. The Internet has created exciting innovations that has impacted all of us personally and professionally. The past 2 decades have been truly life changing – news is instantaneous, social connections are made online, information on any subject is at our finger tips, we can store and stream millions of songs from our smart phones, and we can buy just about anything at a click of a button. While as impactful as the Internet has been, it will pale in comparison to what lays just over the horizon in an Innovation Age. The innovation age will be characterized by a combination of rapid advancements in technology, including the Internet of Things (IoT), Block Chain, 5G communication, wearable computing, self-driving cars, energy storage, nanotechnology, machine intelligence, and the list goes on. These advancements are combining to spawn an era of innovation like no other in history and likely to be the greatest era of technological change in our lifetime. Change will occur an exponential pace and have the capability of mass disruption of entire industry structures. And behind much of that advancement … Artificial Intelligence
  6. Artificial Intelligence? Augmented Intelligence? Machine Learning? Watson, Alexa, Google Now, Siri, Cortana? Your car?
  7. Intelligence can be generally described as the ability to perceive information, and retain it as knowledge to be applied towards adaptive behaviors within an environment or context.
  8. This is a hotly debated area amongst academics in these fields, but since I am not one of those, I’ll simplify it this way.
  9. It gets complicated fast though …
  10. There are a few key things to keep in mind when navigating through the world of applied AI.
  11. Many AI platforms offer services and tools in these principle areas
  12. Also, By 2020, 30% of all companies will employ AI to augment at least one of their primary sales processes. Gartner Predicts 2017: CRM Sales
  13. Also, Sixty-one percent (61%) of those who have an innovation strategy say they are using AI to identify opportunities in data that would otherwise be missed.
  14. By 2020 the artificial intelligence market will surpass $40 billion By 2020, insights-driven businesses will steal $1.2 trillion per annum from their less-informed peers. Forrester Predictions The question we must face is “How to we respond”
  15. So what are the opportunities?
  16. Deakin University uses AI for student support services Georgia State University has seen great benefits from using AI for GSU admissions University of Michigan ‘Project Sapphire’ Cognitive & conversational technology to provide academic advising. System will automated allow flow of conversation based on prior human/human interactions University of Telecommunications Leipzig (Germany) Need to increase job placement rates for graduates. Analyze job postings to align employment trends with university curriculum. New degree program launched in 2.5 months instead of 12 months (76% improvement)
  17. Georgia Tech professor is now in his third semester with “Jill Watson”, an artificial intelligence teaching assistant that answers questions for online students. Stories of students asking Jill for a recommendation. Students that figured it out were tipped off by how efficient Jill was
  18. MOOCs, for all their faults, brought a spotlight onto the potential, demand, and affordances of learning at scale. We cannot accomplish even moderate scaling of our institutions without significantly either boosting the efficiency of our operations or diminishing our quality.
  19. Transfer Credit, finance, HR. We need to augment the expertise we currently have and free up our skilled personnel to do what they are truly good at. Dallas County Community College, real time Closed Captioning for all students across multiple languages
  20. Place learners in control of their learning and help Faculty serve the individual student. Ethical issues abound. Colorado State University - intelligent learning and assessment engine
  21. How do we accelerate innovation? Leverage students Hackathons, student support programs, grants Partner with Industry Bring together Faculty, Staff, and Students
  22. What’s ahead? There is hype Leverage AI where it makes sense, it is not a panacea Focus on data strategies