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  4. Designing and Evaluating Malinowski's Lens: An AI-Native Educational Game for Ethnographic Learning
 
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November 10, 2025
Paper (Preprint, Research Paper, Review Paper, White Paper, etc.)
Title

Designing and Evaluating Malinowski's Lens: An AI-Native Educational Game for Ethnographic Learning

Title Supplement
Published on arXiv
Abstract
This study introduces 'Malinowski's Lens', the first AI-native educational game for anthropology that transforms Bronislaw Malinowski's 'Argonauts of the Western Pacific' (1922) into an interactive learning experience. The system combines Retrieval-Augmented Generation with DALL-E 3 text-to-image generation, creating consistent VGA-style visuals as players embody Malinowski during his Trobriand Islands fieldwork (1915-1918). To address ethical concerns, indigenous peoples appear as silhouettes while Malinowski is detailed, prompting reflection on anthropological representation. Two validation studies confirmed effectiveness: Study 1 with 10 non-specialists showed strong learning outcomes (average quiz score 7.5/10) and excellent usability (SUS: 83/100). Study 2 with 4 expert anthropologists confirmed pedagogical value, with one senior researcher discovering "new aspects" of Malinowski's work through gameplay. The findings demonstrate that AI-driven educational games can effectively convey complex anthropological concepts while sparking disciplinary curiosity. This study advances AI-native educational game design and provides a replicable model for transforming academic texts into engaging interactive experiences.
Author(s)
Hoffmann, Michael
John, Jophin
Fillies, Jan
Paschke, Adrian  
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Open Access
File(s)
Download (12.28 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.48550/arXiv.2511.07682
10.24406/publica-7189
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Keyword(s)
  • Interactive Storytelling

  • Generative AI

  • Human-Computer Interaction

  • LLM

  • Educational Gaming

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