Calls for papers


International Journal of Knowledge and Web Intelligence
International Journal of Knowledge and Web Intelligence


Special Issue on: "Intelligence in Teaching/Learning Support Environments and Functionality"

Guest Editors:
Prof. Tomoko Kojiri, Kansai University, Japan
Prof. Yuki Hayashi, Osaka Prefecture University, Japan
Dr. Toyohide Watanabe, Nagoya Industrial Science Research Institute, Japan

This special issue will focus on intelligence in teaching/learning support environments and functionality from the viewpoint of promoting and encouraging human activities. Our IT-based environment provides various kinds of computing and networking systems, and it has become clear that their roles and effects are too complex and diverse in terms of information sharing, knowledge exchange, virtual communication/discussion, etc. for effective evaluation.

From a viewpoint of promoting the learning process effectively it is important to observe the learning situation from the actions and reactions of individual learners step by step, and to instruct them by using appropriate teaching resources or functional learning tools. Well-defined or well-formed environments for teaching and learning play important roles in making the teaching and learning process effective.

Subject Coverage
Suitable topics include, but are not limited to, the following:

  • Intelligent tutoring systems
  • E-learning
  • Skill management
  • Strategic contents composition
  • Interoperability in teaching and learning
  • Data mining for instructing learners smartly
  • Innovation-specific teaching strategies
  • Advanced intelligence support functionality
  • Intelligent learning environment
  • New viewpoints in future teaching and learning
  • Coordination and collaboration in learning
  • New interaction frameworks in distributed personal learning

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper, please read our Submitting articles page.

If you have any questions, please do not hesitate to contact Prof. Tomoko Kojiri at
kojiri [@]

Important Dates

Submission of papers: 30 November, 2015

Notification of acceptance: 25 January, 2016

Re-submission of papers: 29 February, 2016