Self-Learning Support System about Learning Patent Act Based on the Problem-Solving Process Model Using Logical Structure of Legal Texts

Abstract

In this paper, we propose a model of the problem-solving process for learning Patent Act, noting that legal texts can be expressed as propositional logical structures. We also develop a learning support system that uses this model. For problems that consider combinations of legal statements, the developed learning support system retains propositional logic representations that can allow direct calculation of problem structures with restrictions. Learners using the support system can likewise assemble solutions using propositional logic. Namely, differences between correct and incorrect answers can be calculated and used as feedback to learners. In an evaluation experiment of the system, it was suggested that the learner highly evaluated the stepwise feedback and it might be possible to enhance the awareness of solving the problem based on the model proposed in this study.