Computer-based systems for automating instructional design of collaborative learning scenarios: a systematic literature review

Background: In computer-supported collaborative learning (CSCL), the implementation of instructional design (ID) of collaborative learning (CL) scenarios is a complex task that requires practice and experience. To solve this problem, many computer-based systems have been proposed for automating the ID of these scenarios. Aims: This study identifies, classifies and compares the current computer-based systems for automating ID of CL scenarios. To perform this classification and comparison, we also propose a framework based on the specialisation of existing ID models for the case of CL scenarios. Method: The standard systematic literature review (SLR) method was used with searches in three electronic scientific databases. Results: Of 39 selected studies, we identify 18 computer-based systems and 2 plugins, where the two most evaluated, adaptable and with high coverage of authoring activities that are automated are the systems WebCollage (including the plugins AP and MAPIS3) with GluePS and CHOCOLATO.