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Face value: How avatar identity shapes epistemic trust in AI-mediated learning

● high · 2026-08-10algorithmic-bias, agent, language-learning, epistemic-agency, ai-education, ai-tutoring

Synthesis: Two experiments examined how avatar race, gender, and age shape trust in AI-mediated education. Study 1 (N=102) used a within-subjects laboratory design; Study 2 (N=294) adopted a between-subjects online design. Across both studies, social identity cues strongly influenced evaluations and behavior: White avatars and Asian male avatars in STEM contexts were rated more credible and competent, while older Black female avatars faced compounded penalties. Domain moderated these effects, with STEM tasks amplifying bias while reflective tasks attenuated it.

Key Findings

Two experiments examined how avatar race, gender, and age shape trust in AI-mediated education. Study 1 (N=102) used a within-subjects laboratory design; Study 2 (N=294) adopted a between-subjects online design. Across both studies, social identity cues strongly influenced evaluations and behavior: White avatars and Asian male avatars in STEM contexts were rated more credible and competent, while older Black female avatars faced compounded penalties. Domain moderated these effects, with STEM tasks amplifying bias while reflective tasks attenuated it.

Connected Concepts

  • Language Learning
  • Intelligent Tutoring
  • Socratic Method
  • Math Education
  • Higher Ed
  • Accessible Learning
  • Human In The Loop AI
  • Formative Assessment

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    • Citation

    Anthis, Z., & Kyriakidou-Zacharoudiou, A. (2026). Face value: How avatar identity shapes epistemic trust in AI-mediated learning. Computers and Education: Artificial Intelligence.