future learning landscapes yvan peter – université lille 1 serge garlatti – telecom bretagne
TRANSCRIPT
Multiple innovations
A number of technologies and uses are emerging and developing Mobile & pervasive learning Web 2.0 Semantic web
What about convergence ?
Mobile learning Developing theory
Conversation theory, use of activity theory…
Emerging frameworks For software architecture & design
Context management To drive adaptation and the learning
situation
Challenge
Level of embeddedness
Level of mobility
Pervasive computing
Traditional computing
Ubiquitous computing
Mobile computing
HighLow
Low
High
Challenge From mobile to
pervasive/ubiquitous learning A seamless environment to keep
learning across context An easy and meaningful interaction
with the environment A localised accumulation of
knowledge and efficient retrieval according to the learner’s needs
Web 2.0 - features Switching from a traditional
publishing model to individual contributions Easy publishing (AJAX, blogs, wiki) Multiple media : text, photo, video
Leveraging collective intelligence Social bookmarking, tags & folksonomies
The web as a platform Everything through your browser
Web 2.0 - features The “long tail”
On any topic you could find a critical mass of people to contribute
Composability Open APIs, open formats, REST style
communication Enable mashups: data, services
Push model for information No more need to check every web site for
changes RSS & ATOM feeds
Types of applications
Blogs Personal publication + comments Linking facilities at the level of
information & people For education
Reflection, diary, assignment publishing Course information & follow up
(answering questions…)
Types of applications
Wikis Collaborative writing & content
organisation For education
Supporting group and project work Annotated reading list Practicing writing skills
Types of applications Social bookmarking
Keep reference of interesting material Organising information with tags Taking benefit from worthy resources found
by the others For education
Organisation of a corpus of useful references (reading list)
Supporting group gathering of information on a subject
Types of applications
Media-sharing facilities Sharing photos, videos,
presentations, recordings… For education
images & videos can be provided Annotation on the images or video can
support specific explanations
Types of applications
Social networking Keeping in touch with relations,
forming and supporting communities For education
Course animation outside the class
Types of applications
Syndication & notifications Easy notification of updates,
automatic media distribution (podcast episodes)
For education A way to keep an eye on learners’
progress A way to distribute course content
automatically
Divergent phenomenon Inclusion of web 2.0 services into learning
Teacher lead use / outside the learning environment
Integration of Web 2.0 into learning platforms (e.g., Moodle)
Institutional resistance & personal interest If it is not managed by the institution and/or
teacher, it is rejected Learners may already have their own spaces on
the web. Why use the institutional one ?
Emerging paradigm Personal Learning Environment
Learner led learning environment Built by the learner for a specific &
personal learning goal Mashing up the services that will support
best the goal No institutional drive or control
It is not technology but Web 2.0 technology enabled this and supports it.
Challenge How to combine the management of the
learning and freedom of support services? The teacher needs to be able to “deploy”
his/her learning design Learners may choose their personal
environments & services and must be directed in their activities
The teacher has to keep an eye on what is going on and to provide directions
Semantic Web The Semantic Web isn't just about putting data
on the web. It is about making links, so that a person or machine can explore the web of data.
With linked data, when you have some of it, you can find other, related, data through a network of RDF triples.
page 22
Semantic Web
Linked Data: Published data according to standards
RDF / RDFS / OWL SPARQL Access Point
Query language + Access protocol
The Web will be
a Tremendous Global Database
Opportunity
A global, distributed and open architecture perspective Composed of social web
environments, institutional learning environments and personal learning environments exposing, sharing, and connecting data on the Web.
Opportunity
It will be possible To reuse, analyze and manage
content across web application sources,
To monitor and analyze user activities and content production, to get user traces and to provide guidance and advices according to user activities and needs.
Opportunity
Combination of all these resources and techniques allow getting contextual data from web environments and sensors
Convergence
Can be used to conceptualize and design the next generation of learning landscapes relying on pervasive computing, social media and semantic web standards
Imagine... A natural interaction with
knowledge Related to the environment & across
all environments (class, home…) Mixing personal choice of environment
& institutional drive on the learning objectives & process
Enabling the learner & teacher to follow up the activities across services & environments