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

Reading time: 1 minute
...

📝 Original Info

  • Title: Designing and Evaluating Malinowski’s Lens: An AI-Native Educational Game for Ethnographic Learning
  • ArXiv ID: 2511.07682
  • Date: 2025-11-10
  • Authors: ** 정보가 제공되지 않았습니다. (논문에 명시된 저자명을 입력해 주세요.) **

📝 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.

💡 Deep Analysis

Figure 1

📄 Full Content

📸 Image Gallery

MalinowskiArrival.png ScreenshotAsktoGPT.png Screenshotaskbook.png ScreenshotasktoGPT2.png Workflow4.png acm-jdslogo.png gameplayfinal.png interfaceNEWML.png quizzImproved.png

Reference

This content is AI-processed based on open access ArXiv data.

Start searching

Enter keywords to search articles

↑↓
ESC
⌘K Shortcut