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Smart learning for education: transformation life, business, and the global economy
- 1. Smart learning foreducation: transformation life, business, and the global economy Prof. Alexander Ryjov Lomonosov Moscow State University Russian Presidential Academy of National Economy and Public Administration, School of IT Management, Russia alexander.ryjov@gmail.com 11th International Academy of CIO (IAC) Annual Meeting and Forum Forum 2: IAC Conference on E-government, CIO and ICT June 27-28, 2016 Bocconi University, Milan Italy
- 2. http://www.mckinsey.com/business-functions/business-technology/our- insights/disruptive-technologies • Scope: • startedwith more than 100 possible candidates • Sources: • academic journals, • business and technology press, • analysis of published venture capital portfolios, • hundreds of interviews with relevant experts and thought leaders. • Сriteria: • the technology is rapidly advancing or experiencing breakthroughs • the potential scope of impact is broad • significant economic value could be affected • economic impact is potentially disruptive
- 7. Why now? • Technologiesare moving so quickly, and in so many directions, that economy needs in mass education and retraining for millions of peoples • Learning technologies are not changing during last 500 years • «Pythagoras» • «Monastery» • «Parochial school» • Result: modern learning technologies for education is a real stopper/ brake for modern economy
- 9. «Pythagoras» - TheTeacher/ «Pythagoras» is here Greece Sumerians Rome India China
- 10. «Monastery» - TheTeacher/ «Supervisor + Book» are here. Book is unique and is VERY expensive.
- 11. «Parochial school» -The Teacher/ «Supervisor + schoolbook» are here. Schoolbook is standard and is cheap. No difference with modern school: • schoolbook —> iPad • woody board —> plastic board • piece of chalk —> felt pen That’s all !
- 12. Why now? • Technologiesare moving so quickly, and in so many directions, that economy needs in mass education and retraining for millions of peoples • Learning technologies are not changing during last 500 years • «Pythagoras» • «Monastery» • «Parochial school» • Result: modern learning technologies for education is a real stopper/ brake for modern economy
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- 20. EdTech geo E-Learning ($USBillions) Ref: Edxus Group, IBIS Capital, GSMA, McKinsey & Company, Doceba North America $23,8B 2013 Revenues 4,4% Annual growth rate 9,0% Cloud based authoring tools and learning platforms growth rate $27,1B Revenue by 2016 Western Europe $6,8B 2013 Revenues 5,8% Annual growth rate $8,1B Revenue by 2016 Eastern Europe $728,8M 2013 Revenues 16,9% Annual growth rate $1,2B Revenue by 2016 Asia $7,1B 2013 Revenues 17,3% Annual growth rate $11,5B Revenue by 2016 Middle East $443M 2013 Revenues 8,2% Annual growth rate $560,7M Revenue by 2016 Africa $332,9M 2013 Revenues 15,2% Annual growth rate $512,7M Revenue by 2016 South America $1,4B 2013 Revenues 14,6% Annual growth rate $2,2B Revenue by 2016
- 21. EdTech trends and challenges •Dying of old/ appearance of new professions; the time is compressing • The nature of learning technology has no changed since the 17th - 18th centuries • The development of ICT/ Internet, the possibility of storing and processing large amounts of data (big data) • The success of data sciences/ machine learning in finance, manufacturing, etc • Main Challenge: adaptivity/ personalization/ individualization of learning
- 22. Mindset for smartlearning • The control system • The control object • Environment • Criteria 22
- 23. Mindset for smartlearning • The control system (CS) • The control object (CO) • Environment (E) • Criteria (C) 23 Goal/ Criteria
- 24. Mindset for smartlearning • The control system (CS) • The control object (CO) • Environment (E) • Criteria (C) 24 Goal/ Criteria
- 25. Tracking/ Measurement 25 Goal/ Criteria Thereis no smart learning without measurement • What we can measure? • Time • Number of right/ wrong answers • Style (playing with mouse, etc) • Gadgets, health trackers *) • Audio/ video environment • …
- 26. Content management 26 Goal/ Criteria Thereis no smart learning without variety • What we can change? • Presentation of the content (color, etc.) • Sequence/ navigation of the content • Level of complexity • Time for break/ express-tests • Turbo-regime • …
- 27. Content management 27 Goal/ Criteria Thereis no smart learning without smart criteria • Different criteria are possible (for example, for different countries) • We use «Minimal time with minimal number of mistakes»
- 28. Smart learning ineducation: uchi.ru case
- 29. Minimal high-level architecture Measurements Testing System for evaluationand monitoring of classification System for evaluation and monitoring of learning process Very easy Regular Very difficult System for scenario generation Type of content Navigation … System for evaluation and monitoring of learning quality Very good Good Fair Poor Information processing: Audio/ Video Speed characteristics: fast/ slow Attentiveness Endurance
- 30. Extended high-level architecture Measurements Testing System for evaluationand monitoring of classification System for evaluation and monitoring of learning process Very easy Regular Very difficult System for scenario generation Type of content Navigation … System for evaluation and monitoring of learning quality Very good Good Fair Poor Information processing: Audio/ Video Speed characteristics: fast/ slow Attentiveness Endurance System for evaluation and monitoring of psychophysical status System for evaluation and monitoring of the environment Special devises Express tests Gadgets PC/ Tablet Sensors
- 31. Specification of minimal architecture Systemfor evaluation and monitoring of classification System for evaluation and monitoring of learning process Very easy Regular Very difficult System for scenario generation Type of content Navigation … System for evaluation and monitoring of learning quality Very good Good Fair Poor Information processing: Audio/ Video Speed characteristics: fast/ slow Attentiveness Endurance Initial measurements (numbers) Linguistic tier (membership functions) A X=x*; Y=y* Xx* small big If A=small и B=big then Z1 If С=medium then Z2 … Logical tier (fuzzy rules)
- 32. Education XIX vs.Education XXI
- 33. Summary Smart learning technologiesare changing dramatically the core functions of the society - education Using Smart learning systems we can solve the main challenge for modern economy - mass education and retraining people These technologies can reduce costs and improve quality of service, lifestyle for a number of people. The potential is enormous - but as in business, it will not be realized without substantial investments in capabilities.
- 34. References A gallery ofdisruptive technologies - http://www.mckinsey.com/assets/dotcom/mgi/slideshows/disruptive_tech/index.html# James Manyika, Michael Chui, Jacques Bughin, Richard Dobbs, Peter Bisson, Alex Marrs. Disruptive technologies: Advances that will transform life, business, and the global economy. McKinsey Global Institute (MGI), May 2013, 176 p. - http://www.mckinsey.com/insights/business_technology/disruptive_technologies James Manyika, Michael Chui, Peter Bisson, Jonathan Woetzel, Richard Dobbs, Jacques Bughin, Dan Aharon. THE INTERNET OF THINGS: MAPPING THE VALUE BEYOND THE HYPE. McKinsey Global Institute (MGI), June 2015, 144 p. - http://www.mckinsey.com/insights/business_technology/the_internet_of_things_the_value_of_digitizing_th e_physical_world Ryjov A. Basic principles and foundations of information monitoring systems. In: Monitoring, Security, and Rescue Techniques in Multi-agent Systems. Barbara Dunin-Keplicz, Andrzej Jankowski, etc. (Eds.). Springer-Verlag, 2005, ISBN 3-540-23245-1, ISSN 16-15-3871, pp. 147-160. Alexander Ryjov. Towards an optimal task-driven information granulation. In: Information Granularity, Big Data, and Computational Intelligence. Witold Pedrycz and Shyi-Ming Chen (Eds.). Springer International Publishing Switzerland 2015, pp. 191-208. Alexander Ryjov. Personalization of Social Networks: Adaptive Semantic Layer Approach. In: Social Networks: A Framework of Computational Intelligence. Witold Pedrycz and Shyi-Ming Chen (Eds.). Springer International Publishing Switzerland 2014, pp. 21-40.
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