An edited volume by<\/p>\n\n\n\n
Christian Sebastian Loh (Southern Illinois University Carbondale, USA), Yanyan Sheng (University of Chicago, USA) and Dirk Ifenthaler (University of Mannheim, Germany and Curtin University, Australia)<\/strong><\/p>\n\n\n\n to be published by Springer, Cham<\/p>\n\n\n\n We invite chapter proposals for an upcoming edited volume that explores the evolving intersection of Serious Games Analytics (SGA) and Artificial Intelligence (AI). Building on the foundational work of Serious Games Analytics: Methodologies for Performance Measurement, Assessment, and Improvement (Loh, Sheng, & Ifenthaler, 2015), this volume expands the conversation to how various iterations of AI \u2014 including machine learning (ML) and large language models (LLMs) \u2014 are reshaping the research and development of serious games. Topics span serious game design, player\/learner modeling, performance assessment, and AI-driven analytics towards training and performance improvement.<\/p>\n\n\n\n The goal of this volume is to gather rigorous, research-informed contributions that highlight emerging trends, practical applications, and methodological innovations across sectors where serious games are actively used \u2014 including education, healthcare, military, emergency response, public safety, and workforce development. Submissions grounded in empirical research, applied studies, or technical implementation are welcome. Purely conceptual or speculative chapters will not be prioritized.<\/p>\n\n\n\n TOPICS OF INTEREST INCLUDE (BUT ARE NOT LIMITED TO)<\/strong>:<\/p>\n\n\n\n \u2022 Integration of AI into serious game systems (e.g., AI-driven game design, data collection and analytics pipelines, machine learning models for player assessment and adaptation)<\/p>\n\n\n\n \u2022 Player behavior and performance analytics (e.g., AI-enhanced expert-novice modeling, in-situ action tracking, adaptive learning systems, real-time feedback)<\/p>\n\n\n\n \u2022 Agentic AI and simulation-based instruction (e.g., conversational AI and NPCs, intelligent tutoring systems, simulation-based decision environments with human-AI collaboration)<\/p>\n\n\n\n \u2022 Visualization and engagement modeling (e.g., AI-powered dashboards, personalized feedback systems, motivation and engagement metrics in serious games)<\/p>\n\n\n\n \u2022\u00a0Ethical and responsible AI use (e.g., privacy and surveillance concerns, fairness, bias mitigation, responsible design, transparency in analytics)<\/p>\n\n\n\n TENTATIVE SECTIONS:<\/strong><\/p>\n\n\n\n Section 2: Analytics for Behavior, Learning, and Performance<\/strong><\/p>\n\n\n\n Section 3: AI-Enabled Interactions, Agents, and Adaptive Instruction<\/strong><\/p>\n\n\n\n Section 4: Visualization, Engagement, and Learning Experience Design<\/strong><\/p>\n\n\n\n Section 5: Ethical Considerations and Applications Across Domains<\/strong><\/p>\n\n\n\n Section 6: Future Directions and Research Frontiers<\/strong><\/p>\n\n\n\n SUBMISSION GUIDELINES:<\/strong><\/p>\n\n\n\n Prospective authors (co-authors are welcome) are invited to submit a one-page chapter proposal, including title, authors, affiliations, abstract describing main objectives and motivation, methodology or perspective, expected contribution to the volume, five keywords, and three key references, no later than 01 August 2025.<\/p>\n\n\n\n All submissions will undergo a rigorous double-blind peer review which will recommend full submissions from among the proposals. Accepted chapters shall not exceed 8,000 words and shall be completed no later than 15 March 2026. Specific guidelines will be made available after 01 October 2025.<\/p>\n\n\n\nSection 1: Foundations of Serious Games Analytics in the Age of AI<\/strong><\/h4>\n\n\n\n
\n
\n
\n
\n
\n
\n