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Call for Papers

The conference program consists of high quality technical papers that are reviewed and selected by an international program committee. Papers are solicited on all technical aspects of web-based learning and related technologies, including but not limited to the following topics:

  • Personalized and Adaptive Learning
  • Computer Support for Intelligent Tutoring
  • Intelligent Tools for Visual Learning
  • Web-based Learning for Oriental Languages Learning
  • Game-based Learning
  • Personal Learning Environments (PLE)
  • Computer Supported Collaborative Learning
  • Web 2.0 and Social Learning Environments
  • HTML5 Web-based Learning
  • Intelligent Learner and Group Modeling
  • Learning Analytics
  • Human Factors and Affective Computing for Learning
  • E-Learning Platforms and Tools
  • Design, Model and Framework of e-Learning Systems
  • Deployment, Organization and Management of Learning Objects
  • E-Learning Metadata and Standards
  • Semantic Web and Ontologies for E-learning
  • Mobile, Situated and Blended Learning
  • Cloud-based Learning
  • Pedagogical Issues
  • Practice and Experience Sharing

Paper Submission & Publication
Authors are invited to submit original papers reporting on research results or novel applications in technology-enhanced learning. All accepted papers presented at the conference will be published as a volume in Springer Lecture Notes in Computer Science (LNCS).

Papers for submission should be formatted according to the Springer LNCS Authors Guidelinesand have maximum 10 pages. Since the review process will be double-blind, the submitted manuscript should not contain the authors' names, affiliations, or any information that may disclose the authors' identity. All papers should be submitted in PDF format. The submission web page is: http://www.easychair.org/conferences/?conf=icwl2013.

According to last years' tradition, a Best Paper Award and a Best Student Paper Award will be granted. Furthermore, authors of the best papers presented in the conference will be invited to submit extended versions of their papers for further review and possible publication in IEEE Transactions on Learning Technologies.