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PALE 2016 : 6th International Workshop on Personalization Approaches in Learning Environments


When Jul 13, 2016 - Jul 17, 2016
Where Halifax (Canada)
Submission Deadline May 7, 2016
Notification Due Jun 1, 2016
Final Version Due Jun 7, 2016
Categories    personalization   adaptivity   learner modeling   learning environment

Call For Papers

PALE 2016 Workshop is held in conjunction with ACM UMAP 2016 Conference ( It is a follow-up of the five previous PALE editions.

The focus of this workshop series is on the different perspectives, in which personalization can be addressed in learning environments. Its aim is to share and discuss the new trends in current research on how user modeling and associated artificial intelligent techniques are able to contextualize and manage the increasing amount of information coming from the task at hand and its surrounding environment, in order to provide personalized learning support, which is sensitive to learners and their context. This covers many interrelated fields, including intelligent tutoring systems, learning management systems, personal learning environments, serious games, agent-based learning environments, and informal workplace learning settings. Moreover, we are especially interested in the enhanced sensitivity towards the management of vast data coming from learners’ interactions (like sensor detection of affect in context) and technological deployment (including web, mobiles, tablets, tabletops, wearable technology), and how can this wide range of situations and features impact on modeling the learner context and interaction. Furthermore, we aim to cover the need of personalized learning in various settings, ranging from formal to informal ones.


The higher-level research question to be addressed in the workshop is: “How to deal with the increasing amount of information available from various resources and contexts, in order to provide effective personalized assistance in learning situations?” PALE workshop includes (but is not limited to) the following topics:
• Learner and context modeling
• Affective computing
• Big data and visual narratives in education
• Adaptive mobile learning
• Learning recommendation and explanations
• Wearable devices for sensing and acting in ubiquitous learning scenarios
• Personalization in MOOCs
• Cognitive and meta-cognitive scaffolding
• Open-corpus educational systems
• Social issues in personalized learning environments
• Reusability, interoperability, scalability
• Evaluation of adaptive learning environments

Workshop Format

Following the experience from previous editions of this and related workshops, PALE
combines the classic 'mini-conferences' approach with working group meetings around
a specific problem. It follows the Learning Cafe methodology to promote discussions on
some of the open issues coming from the presented papers. Each Learning Cafe consists
of brief presentations of the key questions posed and small group discussions with
participants randomly grouped at tables. Each table is moderated by one expert in the
topic under discussion (mostly the presenter of the paper who has addressed the issue)
and participants change tables during the discussion with the aim to share ideas among
the groups.

Submission Details and Publication

To keep the focus on the key issues to be discussed in the workshop, contributions are
suggested to be prepared in 5 page limit (excluding references). Nonetheless, if authors
require additional space, the paper length can be extended.

Submissions should be single blinded, i.e. authors’ names should be included in the
submissions. Papers must be formatted using the ACM SIG proceedings template and
submitted via EasyChair. Each submission will be reviewed by at least 3 PC members.

Submission templates:
Easychair submission site:

Accepted papers will be included in the UMAP extended proceedings, published on
CEUR-WS. PALE workshop papers will be available also at the workshop webpage.

Organizing Committee

Milos Kravcik, RWTH Aachen University, Germany
Olga C. Santos, aDeNu Research Group, UNED, Spain
Jesus G. Boticario, aDeNu Research Group, UNED, Spain
Maria Bielikova, Slovak University of Technology, Slovakia

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