Optional Finer Granularity in an Open Learner Model

Authors: 

Matthew D. Johnson and Susan Bull

Paper type: 
Poster

Abstract: 

Open learner models (OLMs) available independently from specific tutoring or guidance, such as an intelligent tutoring system may provide, can encourage learners to take greater responsibility for learning., Our results suggest that finer grained OLM information, in this context, can support learners in identifying strengths/weaknesses, planning and focussing learning, when different OLM granularities exist. Learners drew regular comparison between OLM and domain information, showing the flexibility of interaction to be important.

Keywords: 

Open Learner Model. Domain Information