Track 2. Adaptive and Personalised Technology-Enhanced Learning (APTeL@ICALT2016)

Track Chairs

Arif Arif Altun, Hacettepe University, Turkey
Biswas Gautam Biswas, Vanderbilt University, USA
chen Chih-Ming Chen, National Chengchi University, Taiwan
Papanikolaou Kyparisia Papanikolaou, School of Pedagogical & Technological Education, Greece
Popescu Elvira Popescu, University of Craiova, Romania [Coordinator - popescu_elvira@software.ucv.ro]
Woolf Beverly Woolf, University of Massachusetts Amherst, USA
lai Chih-Hung Lai, National Dong Hwa University, Taiwan

 

Track Program Committee

  • Alexander Nussbaumer, Graz University of Technology, Austria
  • Alexandra Cristea, University of Warwick, UK
  • Alexandros Paramythis, Contexity AG, Switzerland
  • Arif Altun, Hacettepe University, Turkey
  • Beverly Woolf, University of Massachusetts Amherst, USA
  • Chih-Hung Lai, National Dong Hwa University, Taiwan
  • Chih-Ming Chen, National Chengchi University, Taiwan
  • Demetrius Georgiou, Democritus University of Thrace, Greece
  • Elise Lavoué, University Jean Moulin Lyon 3, France
  • Elvira Popescu, University of Craiova, Romania
  • Franka Grünewald, University of Potsdam, Germany
  • Gautam Biswas, Vanderbilt University, USA
  • Ioannis Kazanidis, Technological Educational Institute of Kavala, Greece
  • Jean-Marc Labat, University Pierre et Marie Curie, France
  • Kai Pata, Tallinn University, Estonia
  • Kyparisia Papanikolaou, School of Pedagogical & Technological Education, Greece
  • Malinka Ivanova, TU Sofia, Bulgaria
  • Maria Grigoriadou, University of Athens, Greece
  • Marie-Helene Abel, University of Technology of Compiègne, France
  • Mart Laanpere, Tallinn University, Estonia
  • Mihaela Cocea, University of Portsmouth, UK
  • Mihai Dascalu, Politehnica University of Bucharest, Romania
  • Mike Joy, University of Warwick, UK
  • Mirjana Ivanovic, University of Novi Sad, Serbia
  • Oscar Lin, School of Computing and Information Systems, Canada
  • Patricia Charlton, Institute of Education, UK
  • Petek Askar, TED University, Turkey
  • Tsukasa Hirashima, Hiroshima University, Japan
  • Ulrik Schroeder, RWTH Aachen University, Germany
  • Vasile Rus, The University of Memphis, USA

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 needs of diverse student audiences, and educational organizations are offering services for accessing courses, content, and resources through a variety of platforms, devices, and learning contexts. In this framework, adapting the educational experience to learners' preferences and needs becomes critical in order to deliver effective technology-enhanced learning. The challenge concerns providing an alternative to the "one-size-fits-all" approach, taking into consideration the individual differences between learners and the application of learning technologies in emerging learning contexts. The aim is to maximize the learner satisfaction, learning gain and efficiency of the learning process. Adaptation can take place both at individual level and group/community level; intelligent and adaptive technologies can be used to support socially-grounded online learning.

APTeL@ICALT2016 will explore different dimensions of adaptation and personalization, including the learner modeling phase, the adaptation mechanisms and techniques, the design and implementation challenges, the experimental validation. A main issue will also be the impact of adaptive and personalised learning environments in real educational (formal or informal) contexts, how such environments can be integrated in the educational process in order to enhance and promote learning. "What can we adapt to?", "What can be adapted?", "How can we collect and process the relevant data?", "What is the impact of adaptation?", "How adaptive and personalised learning environments may promote learning in real contexts?", "How learners of different profiles perceive personalization?", "How can you support users develop personalized content and courses?" 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

Important dates about ICALT 2017 submissions can be found here.

The ICALT 2017 Author Guidelines can be found here.

The Track 2 CfP can be downloaded from here:

  • .txt version
  • .doc version