Clicking some of the silly options: Exploring Player Motivation in Static and Dynamic Educational Interactive Narratives

2025-05-13

AI Summary

This study investigates how dynamic (AI-driven, real-time generated) versus static branching narratives impact learner motivation in the ethics education game *Academical*. Method: A controlled dual-version experiment was conducted—the first empirical comparison of these narrative structures regarding trade-offs between instructional goal attainment and learner engagement. Contribution/Results: Dynamic narration significantly enhanced players’ choice intention and immersion, with responsive content generation and choice diversity identified as key drivers of engagement. However, to prevent dilution of learning objectives, narrative freedom must be carefully calibrated via behavior-driven adaptation mechanisms and pedagogically consistent design patterns. The study empirically validates the feasibility of lightweight AI-powered dynamic narration in educational games and delineates its effective boundaries and evidence-informed design principles for optimizing motivational outcomes.

Technology Category

• Humans and AI: Game Design — Procedural Content Generation & Storytelling
• Game Theory and Economic Paradigms: Behavioral Game Theory
• Philosophy and Ethics of AI: Safety, Robustness & Trustworthiness

Application Category

• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization
• Economics, Online Markets and Human Computation: Fairness and ethical considerations in crowd work and in human-in-the-loop AI systems
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

Motivation is an important factor underlying successful learning. Previous research has demonstrated the positive effects that static interactive narrative games can have on motivation. Concurrently, advances in AI have made dynamic and adaptive approaches to interactive narrative increasingly accessible. However, limited work has explored the impact that dynamic narratives can have on learner motivation. In this paper, we compare two versions of Academical, a choice-based educational interactive narrative game about research ethics. One version employs a traditional hand-authored branching plot (i.e., static narrative) while the other dynamically sequences plots during play (i.e., dynamic narrative). Results highlight the importance of responsive content and a variety of choices for player engagement, while also illustrating the challenge of balancing pedagogical goals with the dynamic aspects of narrative. We also discuss design implications that arise from these findings. Ultimately, this work provides initial steps to illuminate the emerging potential of AI-driven dynamic narrative in educational games.

Problem

• Comparing static vs dynamic narratives in educational games
• Assessing impact of dynamic narratives on learner motivation
• Balancing pedagogy with dynamic narrative adaptability

Innovation

• Dynamic narrative sequencing during gameplay
• AI-driven adaptive educational interactive narratives
• Balancing pedagogy with dynamic storytelling