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Digital Human Teachers with Personalized Identity: Enhancing Accessibility and Long-Term Engagement in Sustainable Language Education

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Listed:
  • Qi Deng

    (School of Foreign Studies, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China)

  • Yixuan Zhang

    (Sydney Smart Technology College, Northeastern University, Qinhuangdao 066004, China)

  • Yuehan Xiao

    (Sydney Smart Technology College, Northeastern University, Qinhuangdao 066004, China)

  • Changzeng Fu

    (Sydney Smart Technology College, Northeastern University, Qinhuangdao 066004, China
    Hebei Key Laboratory of Marine Perception Network and Data Processing, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China
    Intelligent Robotics Lab, Osaka University, Osaka 565-0871, Japan)

Abstract

Sustainable language education necessitates scalable, accessible learning environments that foster long-term learner autonomy and reduce educational inequality. While online courses have democratized access to language learning globally, persistent deficiencies in instructor-student interaction and learner engagement compromise their sustainability. The “face effect,” denoting the influence of instructor facial appearance on learning outcomes, remains underexplored as a resource-efficient mechanism for enhancing engagement in digital environments. Furthermore, effective measures linking psychological engagement to sustained learning experiences are notably absent. This study addresses three research questions within a sustainable education framework: (1) How does instructor identity, particularly facial appearance, affect second language learners’ outcomes and interactivity in scalable online environments? (2) How can digital human technology dynamically personalize instructor appearance to support diverse learner populations in resource-efficient ways? (3) How does instructor identity influence learners’ flow state, a critical indicator of intrinsic motivation and self-directed learning capacity? Two controlled experiments with Japanese language learners examined three instructor identity conditions: real teacher identity, learner self-identity, and idol-inspired identity. Results demonstrated that the self-identity condition significantly enhanced oral performance and flow state dimensions, particularly concentration and weakened self-awareness. These findings indicate that identity-adaptive digital human instructors cultivate intrinsic motivation and learner autonomy, which are essential competencies for lifelong learning. This research advances Sustainable Development Goal 4 (Quality Education) by demonstrating that adaptive educational technology can simultaneously improve learning outcomes and psychological engagement in scalable, cost-effective online environments. The personalization capabilities of digital human instructors provide a sustainable pathway to reduce educational disparities while maintaining high-quality, engaging instruction accessible to diverse global populations.

Suggested Citation

  • Qi Deng & Yixuan Zhang & Yuehan Xiao & Changzeng Fu, 2025. "Digital Human Teachers with Personalized Identity: Enhancing Accessibility and Long-Term Engagement in Sustainable Language Education," Sustainability, MDPI, vol. 18(1), pages 1-32, December.
  • Handle: RePEc:gam:jsusta:v:18:y:2025:i:1:p:220-:d:1826064
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