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Game-Based Student Response System Applied to a Multidisciplinary Teaching Context

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 951)

Abstract

The prevailing need to promote the application of active methodologies to develop the teaching-learning process in an effective way led to this work. The aim was to evidence the efficiency of an Information and Communication Technologies (ICT) resource for the generation of a collaborative and multidisciplinary context in the university teaching activity within dissimilar fields of knowledge. A Game-based Student Response System (GSRS) was implemented as a common tool for different teachers of non-related fields of knowledge with a view to enhance critical thinking and engagement in the students. The outcomes showed that this methodology increased the involvement and reduced part of the degree of abstraction that complex contents entail. Thus, the environment varied significantly with respect to the traditional relationship between students and teachers, since the latter are in charge of generating student-centred experiences based on interaction. As a result, feedback information was gathered in order to rearrange contents and consider novel strategies. In addition, this work eased the acquisition of knowledge, competence development and the achievement of teaching objectives by the students.

Keywords

Game-based Student Response System (GSRS) Multidisciplinary context Teaching innovation Information and Communication Technologies (ICT) 

Notes

Acknowledgments

The authors would like to thank the University of Seville for funding the Second Own Plan for Teaching Innovation (2016) which has supported this research.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Graphic EngineeringUniversity of SevilleSevilleSpain
  2. 2.Department of Graphic Expression and Building EngineeringUniversity of SevilleSevilleSpain
  3. 3.The Creative and Virtual Technologies Research Laboratory, School of Architecture, Design and the Built EnvironmentNottingham Trent UniversityNottinghamUK
  4. 4.Department of Applied Economy IIIUniversity of SevilleSevilleSpain
  5. 5.Data Science & Big Data LabPablo de Olavide UniversitySevilleSpain

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