APTeL

Track 2. Adaptive and Personalised Technology-Enhanced Learning (APTeL@ICALT2017)

Track Program Chairs

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 which offer 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 an effective education through technology-enhanced learning processes. The challenge concerns providing an alternative to the “one-size-fits-all” approach, taking into consideration individual differences among learners and the application of emerging technologies to enhance the provision of personalized learning. The aim is to maximize learner satisfaction, learning retention and efficiency of the learning process. Adaptation can take place both at individual level and group/community level whereby intelligent and adaptive technologies are integrated to empower socially-grounded online learning.

APTeL@ICALT2017 explores different dimensions of adaptation and personalization, including learner modeling, adaptation mechanisms and techniques, design and implementation challenges, and experimental validations. A main issue addressed in this forum is the impact of adaptive and personalised learning environments in real educational (formal or informal) contexts, and how these environments can be integrated in the educational process in order to enhance and promote 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 you support users develop personalized content and courses?”, “How can interaction data collection, analysis and/or visualization be adapted to user needs?” 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
  • Context-aware models for personalized learning
  • Adaptive learning in pervasive computing environments

Track Program Committee

Marie-Helene Abel, University of Technology of Compiègne, France

Rachid Benlamri, Lakehead University, Canada

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

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, RWTH Aachen University, Germany

Mart Laanpere, Tallinn University, Estonia

Jean-Marc Labat, University Pierre et Marie Curie, France

Elise Lavoué, University Jean Moulin Lyon 3, France

Antonija Mitrovic, University of Christchurch, New Zealand

Alexander Nussbaumer, Graz University of Technology, Austria

Alexandros Paramythis, Contexity AG, Switzerland

Kai Pata, Tallinn University, Estonia

Vasile Rus, The University of Memphis, 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

Vincent Wade, Trinity College Dublin, Ireland

Dunwei Wen, Athabasca University, Canada

Carrie Demmans Epp, University of Pittsburgh, USA

Carolina Mejia Corredor, EAN University, Colombia

Pedro José Muñoz Merino, Universidad Carlos III de Madrid, Spain

Darina Dicheva, Winston-Salem State University, USA

Shaghayegh Sahebi, University at Albany, USA


Important Dates about ICALT 2017 can be found here.

The ICALT 2017 Author Guidelines can be found here.

The ICALT 2017 CfP can be found here.