What Learning Patterns are Effective for a Learner’s Growth? An ontological support for designing collaborative learning

The aim of our research includes constructing a guideline to help users select a form of learning appropriate for learning goals and learning tasks. To fulfill the aim we propose Learner’s Growth Model (GM) and two types of augmented GM: Form-augmented GM and Task-augmented GM. In this paper we describe these three types of models and a mechanism to generate learning pattern recommendations based on the models. At present, we prepare eighteen types of Form-augmented GM and each Form-augmented GM is inspired by Learning Theories. The validities of these Form-augmented GMs are supported by the learning theories. Concerning Task-augmented GM, we have eight types, and their validities are supported by the data collecting from CSCL researches.