Developing a web application for RBSC-based solution of the subset selection problem

In this article, we introduce an application, which implements the RBSC-SubGen algorithm on a web platform in an easy-to-use manner. Originally, Furuya et al. proposed this algorithm and demonstrated it on an sample scenario, where a pair of vocabulary decks are constructed with a desired difficulty relation out of a large corpus. In addition to such applications, RBSC-SubGen can be used in a broad range of applications. For instance, studies which require the recruitment of a representative set of human subjects (e.g. drug testing, consumer surveys) may benefit from this method in sampling from the population. However, the deployment of the algorithm in non-technical fields such as medicine or social science may be difficult, since the publicly available algorithm implementation target users skilled in software development. In that respect, with the proposed web application the accessibility and disponibility of the algorithm by users from non-technical fields are expected to be facilitated considerably.