Presentation Schedule
Designing a Game-Based Learning Platform for Network Science and Strategic Decision-Making (106762)
Session Chair: Teresa Handy
This presentation will be live-streamed via Zoom (Online Access)
Monday, 20 April 2026 22:05
Session: Session 3
Room: Live-Stream Room 2
Presentation Type: Live-Stream Presentation
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This paper presents Network Battle, an interactive (two-player or human vs. computer) educational game designed to support teaching and learning network science concepts, diffusion processes, and strategic decision-making. Understanding networked systems (including social, biological, infrastructure, and information networks) and cascading behaviors is increasingly important across disciplines; however, these topics are often challenging for learners due to their abstract, dynamic, and emergent nature. Grounded primarily in experiential learning theory and supported by constructivist and game-based learning principles, Network Battle addresses this challenge by enabling learners to actively explore network dynamics through direct interaction and reflection. Players configure key network parameters and assume adversarial roles as either a Villain or a Hero, infecting or immunizing nodes within a visual network to observe how local decisions can lead to global cascading effects. The platform integrates Gemini 3, a large language model, which analyzes each player’s move and provides formative, strategy-focused feedback during gameplay, as well as a post-game explanation of how player strategies, network structure, and threshold dynamics influenced outcomes. A pilot study is conducted with 15 participants, including faculty from computer science and applied mathematics, and students with no prior experience in network science. Using a mixed-methods approach, quantitative and qualitative data are collected through post-game surveys and structured observation. Initial findings indicate high usability and engagement, and suggest that participants perceived the game as helpful for understanding cause-and-effect relationships and network science concepts. As a pilot study, this work establishes feasibility and concludes by discussing future applications for instruction and research.
Authors:
Sherif Abdelhamid, Virginia Military Institute, United States
Gunnar Romsland, Virginia Military Institute, United States
About the Presenter(s)
Dr. Sherif E. Abdelhamid is an Assistant Professor of Computer and Information Sciences at Virginia Military Institute. His interests include computer science education, digital learning tools, high-performance computing, and interdisciplinary collab
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