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SUMMER SCHOOL ON PERSONALISED E-LEARNING
June 14-17, 2006
National College of Ireland, Dublin
held in connection with AH2006
http://www.ncirl.ie/Research_&_Innovation/REALT/Summer_School_2006
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**
Call for Participation
**
Personalisation has emerged as one of the most promising features for next
generation e-Learning environments. Research in the area is progressing
quickly and commercial e-Learning providers are starting to integrate
technologies for personalisation into their products.
This summer school aims to introduce students to the state-of-the-art in
e-Learning personalisation enabling them to undertake high-quality research
on relevant topics.
Lectures, tutorials and practical session, given by experts in the field,
will explain the basic concepts and outline the latest research in
personalisation.
adaptive hypermedia 2006The summer school takes place before the Adaptive
Hypermedia Conference – June 20-23, 2006 (AH2006). Both events are being
held in the National College of Ireland, Dublin , Ireland . The AH2006
conference is the premier research event for personalisation and dynamic
adaptivity in hypermedia and web-based applications.
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Provisory List of Instructors
**
* Peter Brusilovsky , University of Pittsburgh, USA
* Paul de Bra, Eindhoven University of Technology, NL
* Susan Bull, University of Birmingham, UK
* Declan Kelly, National College of Ireland, IE
* Brent Martin, University of Canterbury, NZ
* Vincent Wade, Trinity College Dublin, IE
* Stephan Weibelzahl, National College of Ireland, IE
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Proposed Course Topics
**
Please find below a tentative list of topics to be covered by the summer
school on personalised e-Learning.
* Adaptive and Intelligent Educational Systems : Overview of the field
including adaptive systems, personalised e-Learning, adaptive hypermedia,
strategies for adaptation, adaptive knowledge sharing, adaptive learning
design, reusable adaptive patterns, intelligent Web agents for
personalization and adaptivity, adaptive information filtering and
personalized information retrieval
* Student Modelling : Inference techniques (neural networks, machine
learning, numerical uncertainty management, logic-based formalisms),
consistency checking, modelling user knowledge, beliefs, goals, plan
recognition, modelling of affective factors, social aspects and attitudes,
machine learning/data mining, empirical methods to observe user behaviour,
user modelling agents
* Intelligent Tutoring Systems : Architecture, types of learning
environments, standards, human factors and interface design, teaching with
robots and agents, Bayesian networks in ITS, natural language processing in
ITS, motivational and affective issues in ITS, assessment, speech and dialog
systems, case-based reasoning systems, cognitive modelling, knowledge
representation, knowledge construction.
* Authoring : Authoring tools, design, implementation of general
Adaptive and Adaptable Hypermedia, formalisms and tools that support and
facilitate the description of reusable adaptive websites, how adaptive
hypermedia can be created in an easier, more systematic way, based on reuse,
automation, flexible models and on emerging standards, authoring rich user
models and pedagogic models for adaptive educational hypermedia
* Semantic Web and personalized e-learning : Current state-of-the-art of
the applications of semantic web technologies, standards in adaptive
educational hypermedia, data mining for Web personalization, using
ontologies and context for adaptation and personalization of e-learning
applications, semantic web-based educational AH architectures, using
semantic web standards and tools in adaptive Web-based educational systems,
Web standards and metadata specifications for educational AHS.
* Evaluation : Efficiency and effectiveness of adaptive educational
systems, criteria and methods for evaluating adaptation, e valuation of
authoring tools for adaptive hypermedia, evaluation of adaptive hypermedia
design patterns, adaptation metrics – quantitative/ qualitative measures,
metrics to facilitate the comparison between systems.
* Individual differences : Learning styles, cognitive styles related to
browsing, image and text processing, assessment from individual differences
perspectives, systems that support individual differences, implications for
online instruction.
* e-Learning in Industry : Organizational learning, corporate training,
institutional change strategies, knowledge sharing, learning and competence
development on-the-job, workplace-related e-learning
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Important Dates
**
The Summer School takes place June 14 -17, 2006, at National College of
Ireland, Dublin . Participants are encouraged to also attend the 4th
International Conference on Adaptive Hypermedia, AH2006, June 20-23, 2006 .
* May 19, 2006: deadline for applications (later applications may not be
considered)
* June 14 -17, 2006: summer school
* June 20-23, 2006: AH2006 conference
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Programme
**
A complete programme for the four days of the summer school will be included
soon.
Participants
Students at postgraduate level (graduate programs, early PhD or Masters) and
undergraduate students in their final year considering to enter a graduate
program are kindly invited to participate to the summer school.
Students should summit
* a short CV,
* a brief summary of their dissertation or their dissertation proposal
(1 page) and
* a personal statement outlining the motivation for participation (1
page max.)
to [log in to unmask] by May 19, 2006. Applications will be reviewed
on a continuous basis.
To guarantee interactive learning and discussions the number of participants
is limited to 20.
**
Fees
**
The fee for participation in the Summer School is 100 Euro.
Registration for the AH2006 conference for students is 200 Euro (early bird,
before May 15, 2006).
Accommodation is not included in the summer school fee. Students are
expected to look for accommodation by themselves. A list of facilities is
available on request.
A limited number of grants for support on travel and accommodation expenses
will be available. To apply for one of these grants just follow the
procedures for student grant applications on the AH2006 website and indicate
that you intend to attend the summer school.
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