Learner Model of Knowledge Grounding in Discovery Learning

Abstract

Discovery learning is a learning method for acquiring new knowledge and utilizing such knowledge in the real world. As a framework for support discovery learning, several exploratory learning environments (ELEs) have been developed, which aim to acquire and utilize knowledge within such environments. However, some learners cannot utilize their knowledge because it is weakly linked to entities in the real world. Few ELEs aim at using learning to strengthen the connection of the learner’s knowledge with real-world entities. In view of the insufficient framework for supporting a discovery learning that links knowledge with entities, this study identifies the cognitive state of errors in the grounding of discovery learning, and internal representations of information necessary to detect such errors in an ELE.