IoT Learning Tools and Technologies

and Preparing the Workforce of the FutureThank You to our Sponsors! #IoTWF

IoT Learning Tools and Technologies

and Preparing the Workforce of the Future

AJAY KRISHNANINCLUSIVE GROWTHCISCO

LEV GONICKCHIEF EXECUTIVE OFFICEROneCommunity

PAUL LEFREREPROFESSORKTH SWEDEN

Barcelona, Spain • October 29-31, 2013

Professor Paul Lefrere, KTH Sweden

IoT learning tools and technologies and preparing the workforce of the future

© 2013 Cisco and/or its affiliates. All rights reserved. 4

Coming revolution: IoT in Education

IoT Academy brings Maker culture to schools to find new uses fast

Technology Enhanced Learning will rely increasingly on IoT

Enabling Technologies: Memex, Tags, Mouse, ArpaNet, Ambient, IoT, …

Early revolutions: wired IT

1945: Bush – Memex, linked library

Jetsons vision, premature

1962: Engelbart – Augmenting Human

Intellect: A Conceptual Framework

Ignored until 1968’s “mother of all

demos”, of the first mouse, bitmapped

screen, hypertext, collaboration tools

Challenge of the Gartner Hype Cycle ™:

Technology trigger, Peak of inflated expectations, Trough of

disillusionment, Slope of enlightenment, Plateau of productivity

Avoidable in IoT through fast sharing of insights

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Can we agree on where we are now and where we can get to?

Technology road maps for IoT may contain assumptions and biases

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Mapping unknown futures – how IoT can help

unknown futures: “We are facing a paradox: we have to prepare students for situations that we can not even imagine, by means of learning that is a seeminglyinseparable aspect of the situations in which it is taking place... [and] to becomeable to deal with unknown situations in powerful ways the learner has to learn to tell apart one situation from another and one aspect of a situation from another aspect of the same situation”. (Ference Marton, ECER, 2008)

“The future is already here, just not distributed very well” – until IoT

IoT offers new ways to spot and track different possible futures, to spot the Next Big Thing early, to foster use of R&D, to accelerate learning, to augment humans

Analogy: city-level analytics can give us new ways to learn from other cities, eg to track how each city’s people use IoT and innovate in its use

© 2013 Cisco and/or its affiliates. All rights reserved. 7

Using IoT in libraries: new devices, old issues

OCLC’s Lorcan Dempsey quotes Fintan O’Toole on book-based studying in libraries, pre-IoT:

…the solitary pleasure of reading, as an arena in which you are free from outside interference

This pleasure is being experienced by many others in their own way… books… have biographies, they have passed through other hands. The private experience you are having is one that is also shared…

The book itself was [borrowed, hence] a temporary exotic guest… the awareness of a looming deadline for the return of the book, made you read more intensely” (2002)

© 2013 Cisco and/or its affiliates. All rights reserved. 8

IoT changes more than we know – the case of libraries

(pre-IoT, Dempsey/O’Toole, continued):

The struggle of libraries… has been to categorise knowledge in as comprehensive a manner as possible…. But every library user [challenges] the established order of knowledge…

The library should not provide an argument for a particular case, but demonstrate that there is always another case to be made… the library is a place that has no agenda other than allowing people to invent their own agendas…

How do those observations change when we use IoT to track each user and then data-mine what and how they do?

© 2013 Cisco and/or its affiliates. All rights reserved. 9

How IoT can help lifelong learning by blue-collar workers

EC lead project: “Technology Enhanced Learning Livinglab for Manufacturing Environments

IoT aspect of the project explores how the detailed and multi-faceted performance data that IoT can provide, can be analysed to lead to knowledge and expertise that can be codified and shared across industries.

IoT in such contexts needs ways to address needs from multiple fields

E.g., Product Design; Process Design; Production Engineering; Manufacturing Systems; the Management of Innovation; Supply Chains; Creativity in Manufacturing Environments; Change Management; Organizational Learning; Internet of Things; Web Sciences; Robotics

© 2013 Cisco and/or its affiliates. All rights reserved. 10

In applying ioT to blue-collar work, allow for unknown map elements

Known: perennial training needs

E.g., simple just-in-time methods to create effective and pertinent TEL material or to modify existing material and personalise it if required

Unknown: emergent training needs

E.g., methods to anticipate and address fast-changing training requirements or training needs arising from structural change or from participation in a vibrant innovation environment (such as a Living Lab)

© 2013 Cisco and/or its affiliates. All rights reserved. 11

Allow for new frameworks for IoT-based maps

Meta-methodology: mix-match-optimize, MMO

Extensions to OER, offering modifiable ways to select, modify and combine TEL methods/content

Biologically-inspired: cognitive efficiency models

Cognitive approaches (like Mental Models) vs Behavioralapproaches (like Precision Teaching)

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Examples of other challenges

Use IoT to track all learners, data-mine for career advice

Use IoT to gather evidence for accreditation

If the focus is “fit for purpose”, who decides?

If the focus is “to increase the resilience and flexibility of graduates”, monitor for novelty and innovation

© 2013 Cisco and/or its affiliates. All rights reserved. 13

“Education and the internet of everything – how ubiquitous connectedness can help transform pedagogy”

Michelle Selinger et al

The new Cisco white paper

Conclusion – set up a local IoTA, after reading these:

The state of the art in TEL

© 2013 Cisco and/or its affiliates. All rights reserved. 14

Barcelona, Spain • October 29-31, 2013

Lev GonickChief Executive OneCommunity

The Tower of BabelThe Internet of ThingsAnd the Future of Education (and Work)

Powering Connectionswww.onecommunity.org

THE CHALLENGE

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1 in 3

1 in 3Women in Cleveland have Type II Diabetes

57percent of those living at our below the poverty line live in our suburbs

THE PROMISE

THE PRACTICAL

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Internet of Things in Action

THE FUTURE

Wednesday, October 30 | 16:15 –17:00UP NEXT

Delivering the Internet of Everything

Fulfilling the Promise of IoT: A Data Perspective

IP Cameras: The Ultimate Intelligent IoT Sensors

IT's Role in Big Data

Gaudi 3

Gaudi 1

Pau Casals 1

Pau Casals 2

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