OS-1

Learning and Teaching Support in Knowledge Management

Organizer: Tomoko Kojiri (Kansai University, Japan)

Abstract:
Teaching and learning activities are one of the important activities so as to lead successful knowledge management in organization. By instructing the knowledge, people assist their members of acquiring the knowledge. On the other hand, in the learning activity, people try to understand the given knowledge deeply and acquire them as their own knowledge. If these teaching and learning activities are accomplished effectively, knowledge transfer in the organization becomes smooth. This session focuses on the teaching and learning activities and discusses the support technologies for realizing successful knowledge management.

From a viewpoint of promoting the learning process effectively, it is important to observe the learning situation from the actions and reactions of individual members, and instruct them by using appropriate teaching resources. In addition, the well-designed teaching/learning environments, including the teaching and learning tools, also take important roles. This session focuses on the teaching/learning strategy, support tools/functions, experiments, experimental analysis, and so on with respect to effective teaching/learning support in the knowledge management.

Related Topics:

  • Collaborative knowledge building
  • Computer Supported Collaborative Learning (CSCL)
  • Data mining for learning
  • E-learning, knowledge management and their organizational management
  • E-testing and new test theories
  • Evaluation and evaluation methodologies
  • Game-based learning
  • Intelligent systems architecture
  • Knowledge modeling and representation
  • Learning analytics / Big data
  • Learning content retrieval
  • Learning systems platforms and architectures
  • Linked open data for learning
  • Mobile learning
  • Open platforms, open educational resources (OERs), Massive Open Online Courses (MOOCs), and open learning methods
  • Personalized educational and learning systems
  • Recommender systems
  • Semantic Web technology
  • Supporting meta-cognitive skills
  • Tutoring strategies
  • Ubiquitous learning
  • Web intelligence
  • Web 2.0 and social computing for learning

Important Dates:

  • Full / Short Papers due: May 31 June 20, 2015 (Extended)
  • Poster Papers due: May 31 June 20, 2015 (Extended)
  • Notification (Full / Short / Poster papers): June 30, July 15 July 27, 2015 (Extended)
  • Camera-ready papers due: July 15, July 31 August 10, 2015 (Extended)

Submissions:
You must follow the submission instructions of the general session.