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CALL FOR PAPERS
The 19th IEEE International Conference on Advanced Learning
Technologies –
ICALT 2019
Maceió, Brazil, July 15-18, 2019
http://www.ieee-icalt.org
* Submission Deadline: January 20, 2019
Track 2: Adaptive and Personalised Technology-Enhanced Learning
(APTeL@ICALT2019)
http://www.ic.ufal.br/evento/icalt2019/index.php/tracks/track-2-adaptive-and-personalised-technology-enhanced-learning-aptel/
Track Description and Topics of Interest
Advanced learning technologies keep transforming what people
learn, how
they learn it and the ways they access learning opportunities in
formal
and informal contexts. As the educational landscape evolves,
learning gets
more structured around flexible curricula that have to accommodate
the
needs of diverse student audiences, and educational organizations
which
offer services for accessing educational content and resources
through a
variety of platforms, devices, and learning contexts. In this
framework,
adapting the educational experience to learners' preferences,
needs and
background becomes critical. The challenge concerns providing an
alternative to the "one-size-fits-all" approach in designing
learning
technologies, taking into consideration individual differences
among
learners and the various contexts within which learning will take
place.
The aim is to maximize learner satisfaction, learning retention
and
efficiency of the learning process. Adaptation can take place both
at
individual and group/community levels, whereby intelligent and
adaptive
technologies are integrated to empower socially-grounded learning
experiences.
APTeL@ICALT2019 explores different dimensions of adaptation and
personalization, including learner modeling and adaptation
mechanisms, as
well as techniques, designs, implementation approaches, and
experimental
validations. A main issue that is expected to be addressed in this
forum
is the impact of adaptive and personalised learning environments
in real
educational (formal or informal) contexts, focusing on how these
environments can be integrated in the educational process in order
to
enhance and promote efficient personalised learning cycles. "What
can we
adapt to?", "What can be adapted?", "How can we collect and
process
relevant data?", "What is the impact of adaptation?", "How
technology-enhanced adaptive environments may promote personalized
learning in real contexts?", "How are learners profiled and how do
they
perceive personalization?", "How can we support educators develop
personalized contents and resources?", "How can interaction data
collection, analysis and/or visualization be adapted to identify
learner
needs or enhance personalized learning experiences?" are some
important
questions that need to be addressed.
Topics of interest cover various adaptivity and personalization
issues in
technology enhanced learning, in particular:
* Personal learning environments (PLE)
* Intelligent learner and group modeling
* Adaptive learning methods and techniques
* Adaptive collaborative learning
* Personalized mobile learning applications
* Adaptive educational games
* Adaptivity and personalization in MOOCs
* Cognitive, motivational and affective aspects for
personalization
* Measurement and evaluation in adaptive learning environments
* Practice and experience sharing
* Learning and teaching with adaptive and personalised learning
environments
* Personalized learning design
* Personalized learning/teaching analytics
* Context-aware models for personalized learning
* Adaptive learning in pervasive computing environments
Track Program Chairs
Elvira Popescu, University of Craiova, Romania [Coordinator]
Yacine Atif, University of Skovde, Sweden
Simone de Sousa Borges, UFTPR, Brazil
Sabine Graf, Athabasca University, Canada
Sharon I-Han Hsiao, Arizona State University, USA
Kyparisia Papanikolaou, School of Pedagogical & Technological
Education,
Greece
The expected types of submissions include:
Full paper: 5 pages
Short paper: 3 pages
Posters: 2 pages
The ICALT 2019 Author Guidelines can be found at:
http://www.ic.ufal.br/evento/icalt2019/index.php/author-guidelines/
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