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PALE 2014 : Personalization Approaches in Learning Environments


When Jul 7, 2014 - Jul 11, 2014
Where Aalborg, Denmark
Submission Deadline Apr 10, 2014
Notification Due May 1, 2014
Final Version Due May 15, 2014
Categories    personalization   adaptivity   learning environment   learner modeling

Call For Papers

4th International Workshop on Personalization Approaches in Learning Environments (PALE 2014)

July 7-11, 2014, Aalborg (Denmark)
in conjunction with UMAP Conference (


The PALE 2014 workshop is a follow-up of the three previous editions of PALE. The focus of this workshop series is put on the different and complementary perspectives in which personalization can be addressed in learning environments. From the past experience we have identified new areas of interest in this research scope to complement the previous ones.

In this workshop we would like to share and discuss the current research on how user modeling and associated artificial intelligent techniques provide the personalization support in a wide range of learning environments, which are increasingly more sensitive to the learners and their context, such as: intelligent tutoring systems, learning management systems, personal learning environments, serious games, agent-based learning environments, and others. We are especially interested in the enhanced sensitivity towards learners’ interactions (e.g., sensor detection of affect in context) and technological deployment (including web, mobiles, tablets, tabletops), and how can this wide range of situations and features impact on modeling the learner interaction and context. Furthermore, we aim to cover the every time more demanding need of personalized learning in massive open online courses (MOOCs).

Workshop Format
PALE format moves away from the classic 'mini-conferences' approach and will follow the Learning Cafe methodology to promote discussions on some of the open issues regarding personalization in learning environments. Two Learning Cafes will be set up. Each one consists in brief presentations of the key questions posed and small group discussions with participants randomly grouped in tables. Each table will be moderated by one expert in the topic under discussion and participants will change tables during the discussion with the aim to share ideas among the groups.

Workshop Topics
The higher-level research question to be addressed in the workshop is: “Which approaches can be followed to personalize learning environments?” It will be considered in various contexts: interactive, personal, and inclusive learning environments. This workshop includes (but is not limited to) the following topics related to personalization of learning environments:
- Affective computing
- Ambient intelligence
- Personalization of MOOCs
- Learner and context awareness
- Social and educational issues to be addressed
- Open-corpus educational systems
- Adaptive mobile learning
- Successful methods and techniques
- Reusability, interoperability, scalability
- Evaluation of adaptive learning environments

Research papers must be prepared in 4-6 page LNCS format and submitted through EasyChair ( in PDF format. All papers will be reviewed by at least three independent reviewers with expertise in the area from the Program Committee. Accepted papers will be included in a centralized CEUR-WS (ISSN 1613-0073) volume of workshop papers and conference posters from UMAP, which will also be available on-line at the workshop webpage. Extended versions of selected papers will be considered for a special issue in a relevant journal (details to be announced).

Important dates
April 1, 2014: Submission of papers
May 1, 2014: Notification of acceptance
May 15, 2014: Camera-ready paper
July 7/11, 2014: PALE workshop (to be decided by UMAP organisers)

Workshop Organizing Committee
Milos Kravcik, RWTH Aachen University (Germany)
Olga C. Santos, aDeNu Research Group. Artificial Intelligence Dept. UNED (Spain)
Jesus G. Boticario, aDeNu Research Group. Artificial Intelligence Dept. UNED (Spain)

Workshop Program Committee
Miguel Arevalillo - University of Valencia, Spain
Maria Bielikova - Slovak University of Technology, Slovakia
Rafael Calvo - University of Sydney, Australia
Rosa Carro - Universidad Autonoma de Madrid, Spain
Cristina Conati - University of British Columbia, Canada
Owen Conlan - Trinity College Dublin, Irland
Dragan Gasevic - Athabasca University, Canada
Sabine Graf - Athabasca University, Canada
Tomáš Horváth - Pavol Jozef Šafárik University, Slovakia
Kinshuk - Athabasca University, Canada
Iolanda Leite - Yale University, USA
Noboru Matsuda - Carnegie Mellon University, USA
Alexander Nussbaumer - Graz University of Technology, Austria
Alexandros Paramythis - Contexity AG, Switzerland
Diana Perez Marín - Universidad Rey Juan Carlos, Spain
Elvira Popescu - University of Craiova Romania
Carsten Ullrich - DFKI, Germany

Related Resources

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IJCAI 2017   International Joint Conference on Artificial Intelligence
PALE 2016   6th International Workshop on Personalization Approaches in Learning Environments
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
CCML 2017   The 16th China Conference on Machine Learning
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ISMIS 2017   23rd International Symposium on Methodologies for Intelligent Systems
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