Replication data for: On evaluating social learning outcomes of serious games to collaboratively address sustainability problems

DOI:10.34894/SWV9WM
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.34894/SWV9WM

Datacite citation style

den Haan, Robert-Jan (2020): Replication data for: On evaluating social learning outcomes of serious games to collaboratively address sustainability problems. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.34894/SWV9WM
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Serious games are increasingly explored as collaborative tools to enhance social learning on sustainable management of land and natural resources. A systematic literature review was conducted to examine the current state of the art of the different methods and procedures used to assess social learning outcomes of collaborative serious games. 42 publications were identified and included in the review following study selection and quality assessment steps. Extracted data from the publications were categorized in relation to five research questions. The categorizations were subsequently used to identify approaches used to assess cognitive, normative and relational learning outcomes of collaborative serious games. As a result, these approaches distinguishes between the nature of learning in the assessment of collaborative serious games. Combined, these approaches provide an overview of how to assess social learning outcomes of collaborative serious games, including the methods and procedures that can be used, and may serve as a reference for scholars designing and evaluating collaborative serious games. (2018-11-26)

History

  • 2020-06-03 first online, published, posted

Publisher

4TU.ResearchData

Format

MS Excel Spreadsheet, *.xlsx

Organizations

University of Twente, Faculty of Engineering Technology, Department of Design, Production and Management

DATA

Files (2)