A Systematic Review of Mobile Games for STEM Skill Development
Paul Young 2025-02-08

A Systematic Review of Mobile Games for STEM Skill Development

Thanks to Paul Young for contributing the article "A Systematic Review of Mobile Games for STEM Skill Development".

A Systematic Review of Mobile Games for STEM Skill Development

The gaming industry's commercial landscape is fiercely competitive, with companies employing diverse monetization strategies such as microtransactions, downloadable content (DLC), and subscription models to sustain and grow their player bases. Balancing player engagement with revenue generation is a delicate dance that requires thoughtful design and consideration of player feedback.

This research explores the relationship between mobile gaming habits and academic performance among students. It examines both positive aspects, such as improved cognitive skills, and negative aspects, such as decreased study time and attention.

This paper investigates how different motivational theories, such as self-determination theory (SDT) and the theory of planned behavior (TPB), are applied to mobile health games that aim to promote positive behavioral changes in health-related practices. The study compares various mobile health games and their design elements, including rewards, goal-setting, and social support mechanisms, to evaluate how these elements align with motivational frameworks and influence long-term health behavior change. The paper provides recommendations for designers on how to integrate motivational theory into mobile health games to maximize user engagement, retention, and sustained behavioral modification.

This paper offers a historical and theoretical analysis of the evolution of mobile game design, focusing on the technological advancements that have shaped gameplay mechanics, user interfaces, and game narratives over time. The research traces the development of mobile gaming from its inception to the present day, considering key milestones such as the advent of touchscreen interfaces, the rise of augmented reality (AR), and the integration of artificial intelligence (AI) in mobile games. Drawing on media studies and technology adoption theory, the paper examines how changing technological landscapes have influenced player expectations, industry trends, and game design practices.

This study leverages mobile game analytics and predictive modeling techniques to explore how player behavior data can be used to enhance monetization strategies and retention rates. The research employs machine learning algorithms to analyze patterns in player interactions, purchase behaviors, and in-game progression, with the goal of forecasting player lifetime value and identifying factors contributing to player churn. The paper offers insights into how game developers can optimize their revenue models through targeted in-game offers, personalized content, and adaptive difficulty settings, while also discussing the ethical implications of data collection and algorithmic decision-making in the gaming industry.

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