Practical Use and Analysis of a Knowledge Sharing Platform to Refine Learner's Code for Virtual Robot Programming

Abstract

Refining code to make it better is important in learning programming. To support this refinement activity, previous studies proposed a quality indicator using robot programming and a mechanism for ranking these indicators. The ranking function shares others code, however, limits the sharing of codes to those that are close to learners' level. In this way, a platform has been developed that allows step-by-step learning by sharing codes that are close to the learners' level. In this paper, we have used the platform in an actual programming class for university students who are learning programming. From the experiment, the learning effect of this platform will be clarified.