Презентация на тему MOOC and Pedagogy Where are we heading?

Презентация на тему MOOC and Pedagogy Where are we heading?, предмет презентации: Образование. Этот материал содержит 42 слайдов. Красочные слайды и илюстрации помогут Вам заинтересовать свою аудиторию. Для просмотра воспользуйтесь проигрывателем, если материал оказался полезным для Вас - поделитесь им с друзьями с помощью социальных кнопок и добавьте наш сайт презентаций ThePresentation.ru в закладки!

Слайды и текст этой презентации

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MOOC and Pedagogy
Where are we heading?

Yves Epelboin
Professor Emeritus UPMC-Sorbonne-Universités, Paris
Yves.Epelboin@impmc.upmc.fr


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Agenda

A very slow tsunami
MOOC and pedagogy
MOOCs and technology

MOOCs for Europe

A user-centric approach
Driving students to success

EUNIS 2015 June 10-12 2015 Y.Epelboin


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A very slow tsunami

Educause 2012: # 1
Educause 2013: on the side
Educause 2014: ?


On line course

M

O

O

C


EUNIS 2015 June 10-12 2015 Y.Epelboin


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A very slow tsunami

MOOC is not a technology;
It is a means to teach and to learn using established technologies.

Thus it is moving at the same path as pedagogy

On line course

M

O

O

C

EUNIS 2015 June 10-12 2015 Y.Epelboin


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Growth of MOOCs

https://www.edsurge.com/n/2014-12-26-moocs-in-2014-breaking-down-the-numbers

EUNIS 2015 June 10-12 2015 Y.Epelboin

A very slow tsunami! Peak not yet reached!


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MOOC and student retention

Success as not the same meaning in a MOOC than in a class

P. Hill e-Literate, March 2013
http://mfeldstein.com/emerging-student- patterns-in-moocs-a-revised-graphical-view/

EUNIS 2015 June 10-12 2015 Y.Epelboin


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MOOC
and pedagogy


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MOOC in the university

Blended learning
SPOC: a MOOC with controlled registration
Distance and face to face personalized interaction
Face to face application lectures

The most efficient way of learning

EUNIS 2015 June 10-12 2015 Y.Epelboin


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Blended learning Can we afford?

Example of a 6 weeks MOOC (SPOC)
Base: Sciences with Maths equations and graphics
MOOC being used internally at least 3 times
Human resources
Teachers
Academic support
Technical support

EUNIS 2015 June 10-12 2015 Y.Epelboin


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Do you have the budget?

Base: 6-8 weeks
Teachers: 75 k€/y, support teachers: 60 k€/y, tech: 47 k€/y

Pomerol, Epelboin & Thoury MOOCs, Design, Use and Business Models, Wiley 2015

EUNIS 2015 June 10-12 2015 Y.Epelboin


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Cost comparizon


EUNIS 2015 June 10-12 2015 Y.Epelboin


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MOOC economy

Less expensive solution:
MOOC valid only above 200-300 students
Below 200 – 300 students: classic approach
Above 500 students blended approach versus classic approach
Staff environment not taken into account


EUNIS 2015 June 10-12 2015 Y.Epelboin

Most universities do not possess neither the manpower nor the budget to massively invest in MOOCs and SPOCS


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Blended learning economy

Blended learning and distance learning for freshmen
Cheaper way to handle large classes
Efficient means to attract distant students
A method to increase the participation of minorities?
Rare studies and small classes
If universities are able to work together

EdTech June 2-3 2015 London Y.Epelboin


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MOOCs economy

Communication:
Recruiting more students without additional investment (staff, building): MOOC
Reputation
Recruiting students
Attracting students
Testing incoming students


EUNIS 2015 June 10-12 2015 Y.Epelboin


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The MIT Model

https://formation.unpidf.fr/fr/mediatheque/media-51

Free MOOCs can only be a by-product of SPOCs and blended learning

EUNIS 2015 June 10-12 2015 Y.Epelboin

Communication C. De Oliveira MIT


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MOOC and technology


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Closed LMS

EUNIS 2015 June 10-12 2015 Y.Epelboin

Closed systems:
Only tools from the same origin available
Pedagogic approach defined by the platform


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EUNIS 2015 June 10-12 2015 Y.Epelboin

Choice of alternative services only from the same origin

Closed LMS


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Closed LMS

EUNIS 2015 June 10-12 2015 Y.Epelboin

Choice of alternative services only from the same origin


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Coming: an open model

EUNIS 2015 June 10-12 2015 Y.Epelboin


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Coming: an open model

The best of two or more solutions, according to the views of the teacher

EUNIS 2015 June 10-12 2015 Y.Epelboin


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Coming: an open model

Each service = a virtual server

Intercommunication and exchanges:
Learning Tools Interoperability (LTI)

EUNIS 2015 June 10-12 2015 Y.Epelboin


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www.imsglobal.org

EUNIS 2015 June 10-12 2015 Y.Epelboin


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New skills to come

Instructional designers: a mix of pedagogy and IT skills
Teachers: a mix of knowledge and instructional design
Prebuild models
LMS on demand
Richer but more complex systems!

EUNIS 2015 June 10-12 2015 Y.Epelboin


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A user-centric approach


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2010: the digital university

Organization centric


EUNIS 2015 June 10-12 2015 Y.Epelboin


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2015: the digital university

EUNIS 2015 June 10-12 2015 Y.Epelboin

User centric:
Diversification: integration of many services around the user space


My space


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The user-centric university

Siemens & al. « Preparing for the digital university »

http://linkresearchlab.org/PreparingDigitalUniversity.pdf
p. 199

EUNIS 2015 June 10-12 2015 Y.Epelboin


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Apereo

Siemens & al. « Preparing for the digital university » already cited

EUNIS 2015 June 10-12 2015 Y.Epelboin

www.apereo.org


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ProSolo

Siemens & al. « Preparing for the digital university » already cited

www.prosolo.ca


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Next: the digital university

EUNIS 2015 June 10-12 2015 Y.Epelboin

A galaxy of related services with the user in the center

All services as add-on of the personal social space


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Driving students to success


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Learning analytics

EUNIS 2015 June 10-12 2015 Y.Epelboin

Well coordinated services provide huge amounts of data about the students
Activity
Learning

A well of information for a user-centric support


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Learning analytics

« Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs »
G. Siemens http://fr.slideshare.net/gsiemens/learning-analytics-educause (2011)

EUNIS 2015 June 10-12 2015 Y.Epelboin


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Learning analytics

High potential impact to improve students success
Definition of indicators still in progress
Limitations
Lack of valid data from many systems
Privacy of data
Definition of predictive indicators

EUNIS 2015 June 10-12 2015 Y.Epelboin


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Adaptive learning

Adaptive learning is an educational method which uses computers as interactive teaching devices, and to orchestrate the allocation of human and mediated resources according to the unique needs of each learner. Computers adapt the presentation of educational material according to students' learning needs, as indicated by their responses to questions, tasks and experiences.
Wikipedia

EUNIS 2015 June 10-12 2015 Y.Epelboin


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Adaptive learning

Dreambox: http://www.dreambox.com/ white-papers/intelligent-adaptive-learning -an-essential-element-of-21st-century- teaching-and-learning

EUNIS 2015 June 10-12 2015 Y.Epelboin

More and more complex systems!


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Driving students to success

Blended learning does not rise the rate of success: “Those who succeed succeed better”
Adaptive learning allows to best adapt learning to the capacities and feelings of each person
Learning analytics is the method to introduce individual mentoring at a time of mass education

EUNIS 2015 June 10-12 2015 Y.Epelboin


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Summary


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Conclusion

An important challenge for the digital university in the coming years:
True blended learning must be generalized
Tools and services will be more and more user-centric
The digital environment will be more and more complex

EUNIS 2015 June 10-12 2015 Y.Epelboin

Will the universities have the human and financial resources?


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Yves.epelboin@impmc.upmc.fr
LinkedIn: https://www.linkedin.com/in/yepelboin Twitter: @yepelboin Blogs: http://blog.educpros.fr/yves-epelboin/ (French)          http://www.eunis.org/blog/category/erai-2/blogs/ (English)


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Discussion


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