Simulation-Based Evaluation of Rule-Based Dynamic Difficulty Adjustment for Game-Based Learning Using Synthetic Bot Agents
Jurnal Buana Teknologi Pendidikan · 2026
Abstract e pubblicazione originale
L’abstract è consultabile nella fonte originale. Non viene ripubblicato qui perché non risulta verificata una licenza compatibile.
Leggi nella fonte originale ↗Parole chiave
dynamic difficulty adjustmentgame-based learningrule-based controllersuccess ratecontroller performance comparisonEducational Games and GamificationIntelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Games
Come citare questo studio
Isabel Fàtima De Jesus, Khoirina Wulan Nurbianti. (2026). Simulation-Based Evaluation of Rule-Based Dynamic Difficulty Adjustment for Game-Based Learning Using Synthetic Bot Agents. Jurnal Buana Teknologi Pendidikan. DOI: 10.36456/nd6wdk02
Consulta la pubblicazione originale ↗