Gamified Learning Applications for Children
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Date
2025-09
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UENR
Abstract
This research addresses the critical challenge of personalization in early childhood educational
applications through the design, development, and empirical evaluation of QuestKids, a gamified
learning application featuring a novel Dynamic Difficulty Adjustment (DDA) algorithm. While
gamification has demonstrated potential for enhancing engagement in learning environments, most
existing applications for young learners (ages 5-6) lack robust technical mechanisms for real-time,
performance-driven adaptation, resulting in either frustration or boredom due to static content
progression. The primary contribution of this work is the implementation and validation of a
rulebased DDA algorithm that dynamically modulates question difficulty based on a rolling
average of user performance, maintaining learners within an optimal "flow zone" of 65-85%
success rate. Developed using the Flutter framework with a V-Model methodology, QuestKids
integrates adaptive learning modules for mathematics and reading with a comprehensive
gamification engine featuring badges, virtual currency, and progression systems. A comparative
evaluation study was conducted with 85 children over six weeks, benchmarking QuestKids against
two established educational applications (Duolingo Kids and Khan Academy Kids). Results
demonstrated that QuestKids achieved significantly higher engagement metrics, with 56% longer
average session duration and 78% daily return rate compared to benchmark applications. Learning
outcomes showed a 30% higher knowledge gain and 85% retention rate after one week. Statistical
analysis confirmed the superiority of the adaptive approach, with significant differences in both
engagement (p < 0.01) and learning gains (F=6.34, p=0.002). The study concludes that a carefully
engineered DDA algorithm, integrated within a gamified learning framework, can effectively
enhance both engagement and educational outcomes in early childhood education. This research
contributes to educational technology by providing a validated technical model for adaptive
learning systems and offering practical insights for developers and educators seeking to create
more personalized, effective digital learning tools.
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Keywords
QuestKids, Gamified, Learning