Generative learning object (glo) specialization: Teacher’s and learner’s view

Abstract

The paper introduces the stage-based specialization of the initial reusable GLOs treated as meta-programs. The aim is to support preprogrammed user-guided adaptation of the Computer Science (CS) teaching content within the educational robot environment. Specialization of GLOs by staging enables to flexibly (automatically) prepare the content at a higher level for the different contexts of use. We describe the approach along with the case study from the user’s perspective taking into account the specializer tool we have developed. The contribution of the paper is the staged specialization for the pre-programmed adaptation of the learning content.