Title: Computer-based systems for automating instructional design of collaborative learning scenarios: a systematic literature review
Authors: Geiser C. Challco; Ig I. Bittencourt; Seiji Isotani
Addresses: University of São Paulo (ICMC-USP), Av. Trabalhador Sao Carlense, 400, 13566-590, Sao Carlos – SP, Brazil ' Federal University of Alagoas (IC-UFAL), Av. Lourival Melo Mota, s/n, 57072-900, Maceió – AL, Brazil ' University of São Paulo (ICMC-USP), Av. Trabalhador Sao Carlense, 400, 13566-590, Sao Carlos – SP, Brazil
Abstract: 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.
Keywords: SLR; systematic literature review; automating instructional design; collaborative learning scenario; CSCL; computer-supported collaborative learning.
International Journal of Knowledge and Learning, 2016 Vol.11 No.4, pp.273 - 297
Received: 04 Mar 2016
Accepted: 14 Oct 2016
Published online: 25 Jun 2017 *