Minimax Optimization Of Gamification Strategies In University Educational Software

Authors

  • Jaime Amado Rosero Rojas, Luis Octavio Ávila Guamán, Marcos A. Gutiérrez Díaz, Nestor Eduardo Figueroa Cardona Author

Keywords:

Gamification; Higher education; Minimax optimization; Game theory; Educational software; Student engagement

Abstract

The increasing adoption of educational software in higher education has intensified interest in gamification as a strategy to enhance student engagement and academic performance. However, the effectiveness of gamification largely depends on the strategic selection of game elements under conditions of uncertainty regarding student responses. This study proposes and empirically validates a minimax optimization approach, grounded in game theory, to design robust gamification strategies for university-level educational
software.

Downloads

Download data is not yet available.

Downloads

Published

2026-01-18

How to Cite

Minimax Optimization Of Gamification Strategies In University Educational Software. (2026). Minimax Theory and Its Applications, 11(1), 18-35. https://journalmta.com/index.php/jmta/article/view/224