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From “Sandbox” to “Arena”: A Comparative Study of CodeCombat

2026-08-17 · Stanford Digital Repository

One-line summary

An AI research paper on From “Sandbox” to “Arena”: A Comparative Study of CodeCombat.

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Chinese explanation / 中文解读

中文解读待补充:本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。

Original abstract

This study asks how the same game-based coding platform, CodeCombat, is recontextualized through social-media marketing in the United States and China from 2020 to 2026. Drawing on critical glocalization and Van Leeuwen’s legitimation framework, I analyze stratified samples of CodeCombat’s U.S.-facing Twitter posts (n = 121) and Chinese-facing WeChat articles (n = 250) coded through twelve themes. The findings document a mirror inversion: interest-driven themes appear in 74 percent of Twitter posts but only 25 percent of WeChat articles, while achievement-driven themes appear in 62 percent of WeChat articles but only 15 percent of Twitter posts. The two contexts construct opposite ideal learners: an autonomous Maker on Twitter and a Diligent Competitor on WeChat, sustained by systematically different legitimation strategies; the post-ChatGPT moment has hardened this divergence. The case suggests that glocalization can substitute one educational discourse for another, with the marketing wrapper consenting to each system’s stratifying logic.

5.0Engineering value
7.0Research novelty
4.0Business relevance

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