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Mon, 18 Nov 2019 15:04:35 +0200
Elvira Popescu <[log in to unmask]>
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Elvira Popescu <[log in to unmask]>
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The 20th IEEE International Conference on Advanced Learning Technologies 
ICALT 2020
Tartu, Estonia, July 6-9, 2020

* Submission Deadline: January 12, 2020

Track 2: Adaptive and Personalised Technology-Enhanced Learning

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

APTeL@ICALT2020 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 content and resources?", "How can interaction data
collection, analysis and/or visualization be adapted to identify learner
needs or enhance personalized learning experiences?", "How can learner
communities benefit from personalisation?" 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
* Personalized support for communities of learners
* 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
Sabine Graf, Athabasca University, Canada
Sharon I-Han Hsiao, Arizona State University, USA
Kyparisia Papanikolaou, School of Pedagogical & Technological Education,

The expected types of submissions include:
Full paper: 5 pages
Short paper: 3 pages
Posters: 2 pages

The ICALT 2020 Author Guidelines can be found at:

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