Call for Papers: Track 2

Adaptive and Personalised Technology-Enhanced Learning (APTeL@ICALT2018)

Track Program Chairs


Track2

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@ICALT2018 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:
  1. 1. Personal learning environments (PLE)
  2. 2. Intelligent learner and group modeling
  3. 3. Adaptive learning methods and techniques
  4. 4. Adaptive collaborative learning
  5. 5. Personalized mobile learning applications
  6. 6. Adaptive educational games
  7. 7. Adaptivity and personalization in MOOCs
  8. 8. Cognitive, motivational and affective aspects for personalization
  9. 9. Measurement and evaluation in adaptive learning environments
  10. 10. Practice and experience sharing
  11. 11. Learning and teaching with adaptive and personalised learning environments
  12. 12. Personalized learning design
  13. 13. Personalized learning/teaching analytics
  14. 14. Context-aware models for personalized learning
  15. 15. Adaptive learning in pervasive computing environments

Members of Track Program Committee

Marie-Helene Abel, University of Technology of Compiègne, France
Jawad Berri, King Saud University, KSA
Maria Bielikova, Slovak University of Technology, Slovakia
Patricia Charlton, Institute of Education, UK
Chih-Ming Chen, National Chengchi University, Taiwan
Mihaela Cocea, University of Portsmouth, UK
Mihai Dascalu, Politehnica University of Bucharest, Romania
Carrie Demmans Epp, University of Pittsburgh, USA
Darina Dicheva, Winston-Salem State University, USA
Fathi Essalmi, University of Kairouan, Tunisia
Tsukasa Hirashima, Hiroshima University, Japan
Malinka Ivanova, TU Sofia, Bulgaria
Mirjana Ivanovic, University of Novi Sad, Serbia
Mike Joy, University of Warwick, UK
Milos Kravcik, DFKI GmbH, Berlin, Germany
Mart Laanpere, Tallinn University, Estonia
Jean-Marc Labat, University Pierre et Marie Curie, France
Carolina Mejia Corredor, EAN University, Colombia
Antonija Mitrovic, University of Christchurch, New Zealand
Pedro José Muñoz Merino, Universidad Carlos III de Madrid, Spain
Alexander Nussbaumer, Graz University of Technology, Austria
Alexandros Paramythis, Contexity AG, Switzerland
Kai Pata, Tallinn University, Estonia
Vasile Rus, The University of Memphis, USA
Shaghayegh Sahebi, University at Albany, SUNY, USA
Ulrik Schroeder, RWTH Aachen University, Germany
Marco Temperini, Sapienza University of Rome, Italy
Maomi Ueno, University of Electro-Communications, Japan
Julita Vassileva, University of Saskatchewan, Canada
Dunwei Wen, School of Computing and Information Systems, Canada