Abstract
In a world where students are increasing digitally tethered to powerful, ‘always on’ mobile devices, new models of engagement and approaches to teaching and learning are required from educators. Serious Games (SG) have proved to have instructional potential but there is still a lack of methodologies and tools not only for their design but also to support game analysis and assessment. This paper explores the use of SG to increase student engagement and retention. The development phase of the Circuit Warz game is presented to demonstrate how electronic engineering education can be radically reimagined to create immersive, highly engaging learning experiences that are problem-centered and pedagogically sound. The Learning Mechanics–Game Mechanics (LM-GM) framework for SG game analysis is introduced and its practical use in an educational game design scenario is shown as a case study.
| Original language | English |
|---|---|
| Pages (from-to) | 1-7 |
| Journal | IEEE Transactions on Emerging Topics in Computing |
| Volume | 99 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published (in print/issue) - 4 Dec 2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education
Keywords
- Engineering Education
- Learning Mechanics–Game Mechanics (LM-GM) model
- Game based learning
Fingerprint
Dive into the research topics of 'Mapping Learning and Game Mechanics for Serious Games Analysis in Engineering Education'. Together they form a unique fingerprint.Research output
- 68 Citations
- 1 Conference contribution
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Mapping Learning and Game Mechanics to Pedagogical Patterns for Serious Games Analysis and Design in Engineering Education
Callaghan, M., Jorge, R., Cenci, A., Dri, G. & Salaün-Penquer, R., 3 Jul 2025, (Published online) UK and Ireland Engineering Education Research Network Annual Symposium Proceedings 2025. p. 483 -499 16 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile17 Downloads (Pure)
Student theses
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Continuous tactile sensing for enhanced human-robot collaboration
Gomez Eguiluz, A. (Author), Coleman, S. (Supervisor), Mc Ginnity, T. M. (Supervisor) & Rano, I. (Supervisor), May 2018Student thesis: Doctoral Thesis
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