arrow
Return

Developing and validating interoperable ontology-driven game-based assessments

delete2024-08-01
delete0
delete
OA
AI
M
Manuel J. Marchena Gómez *
J
José A. Ruipérez‐Valiente
F
Félix J. García Clemente
DOI:10.1016/j.eswa.2024.123370delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Video games have assumed an important place in our daily lives. This has led to an increasing interest on the use of games for non -entertainment purposes, introducing the concept of Serious Games (SGs). In particular, SGs are being explored because of their potential to provide reliable assessments, but also because they can measure competences that would be difficult to measure using traditional forms of assessment. However, one of the key issues is that assessment machinery has to be designed specifically for each game, increasing the time and effort when designing and implementing Game -Based Assessments (GBAs). In this research, we introduce a novel approach to develop interoperable GBAs by: (1) designing and creating an ontology that can standardize the GBA area; (2) conducting a validation study on literature metrics to replicate them and designing novel metrics using data from different SGs; (3) conducting a case study that illustrates how our approach can be used in a real life scenario with real data. Our results confirm that the designed ontology can be used to effectively perform GBAs, along with the metrics replicated and designed in the system. We expect our work to solve the current limitations regarding GBA interoperability, thus allowing the deployment of Game -Based Assessments as a Service (GBAaaS).
Keywords:
Serious games
Game-based assessment
Interoperability
Ontologies
Data mining
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Expert Systems with Applications cover
Expert Systems with Applications
IF:
7.5
Papers:
2.9W
Citations:
10.2W

Organization

U
University of Murcia
Scholars:
9.2K
Papers: 8.1K
Citations: 8