An Integrated Framework as a Foundation to Develop Meta-Learning Support Systems

Authors: 

Kazuhisa Seta, Hiroshi Maeno, Motohide Umano and Mitsuru Ikeda

Paper type: 
Poster

Abstract: 

It is difficult to generalize and accumulate experiences of system development as methodologies for building meta-learning support systems. Therefore, we need to build a framework that is useful to design and evaluate meta-learning support systems. Thus we propose a framework as a basis to design and evaluate meta-learning support systems.

Keywords: 

meta-cognition, model, model-based development