agent-based systems for human learning
(abshl) workshop

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Elizabeth Sklar
 

 

We invite submissions that describe and/or demonstrate:

  • innovative applications of MAS in human learning activities,
  • development of new agent technologies to support human learning tasks,
  • development of cognitive, social and emotion models to support human learning,
  • development of believable and engaging agent-based environments for human learning,
  • evaluation methodologies for agent-based systems for human learning,
  • pilot/user/formative studies of agent-based systems for human learning, and
  • use of agents within virtual human learning environments, applying approaches such as game technology and virtual reality which can provide more engagement and motivation to enhance the learning experience.
The interdisciplinary nature of this workshop involves research into human vision, cognition, intelligent systems, user interface design and machine learning. This workshop is potentially of interest to researchers and developers from, but not restricted to, the following fields, within the context of human learning:
  • Knowledge Acquisition
  • Knowledge Based Reasoning
  • Human Computer Interaction
  • Case-Based Reasoning
  • User Modelling
  • Storytelling/Narrative Engines
  • Scenario Analysis
  • Game Development
  • (immersive) Virtual Reality/Environment
  • Cognitive, Emotion and Personality Modelling
  • Embodied Agents
  • Language Technology including Speech, Linguistics, Dialogue
  • Multiagent Environments and Social Systems
We anticipate acceptance of papers to be evenly split between the theoretical and applied communities, addressing human learners of various ages (from children to adults) and in various settings (from workplace and military training programs to formal classrooms in schools and universities to informal after-school and community center environments). The format will provide ample time for discussion of each presentation. Since the goal is to help ABSHL researchers find and identify each other, reviewing emphasis will be based more on appropriateness of material rather than maturity of work.