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This study examines the impact of anthropomorphic AI in enhancing English as a Foreign Language (EFL) training, by addressing the gap in how AI can mimic human-like interactions to improve students’ communication skills. Unfortunately, most AI-powered learning technologies still lack in terms of two of the most important factors in improving students’ confidence and proficiency: emotional engagement and contextual reactivity. Therefore, this study carefully combines the ideas of Education 7.0 with anthropomorphic AI to create an immersive and learner-cantered educational experience. This study combines AI Bot Cici, a conversational agent with human-like features. This research method is a mixed method using a combination of quantitative analysis and qualitative focus group interviews and a pre-experimental post-test strategy, this study examined the experiences of 45 first-year college students in Indonesia. The results showed that students’ English communication skills improved significantly after the intervention. Post-intervention scores showed a marked improvement, proving that the intervention was successful in improving undergraduate students’ communication skills. Thematic analysis of the interviews supported these results by showing an increase in students’ engagement, emotional comfort, and autonomy during AI-assisted learning. Participants saw improvements in their vocabulary, fluency, and comprehension. They praised AI’s adaptive learning capabilities and individualized feedback for their achievements. The researchers concluded that anthropomorphic AI could revolutionize English as a Foreign Language (EFL) classes for non-native (L2) learners by creating more interactive, personalized, and emotionally engaging lessons. Ethical issues, such as data protection, and the potential integration of gamification and competitive features into AI technology should inform future studies. To close the gap between human and AI interaction in education, this novel approach lays the groundwork for efficient, inclusive, and dynamic language learning strategies.

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Acknowledging Students’ Natural English Communication by Anthropomorphizing AI for Personalized Education 7.0: A Sustainable Mixed Method Study

  • 会议论文

  • 发表日期：

    2026年

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  • Muthmainnah Muthmainnah,
  • Ahmad Al Yakin,
  • Ahmad A. Elngar,
  • Misdi Misdi,
  • Luis Cardoso,
  • Ali Said Al Matari

摘要

This study examines the impact of anthropomorphic AI in enhancing English as a Foreign Language (EFL) training, by addressing the gap in how AI can mimic human-like interactions to improve students’ communication skills. Unfortunately, most AI-powered learning technologies still lack in terms of two of the most important factors in improving students’ confidence and proficiency: emotional engagement and contextual reactivity. Therefore, this study carefully combines the ideas of Education 7.0 with anthropomorphic AI to create an immersive and learner-cantered educational experience. This study combines AI Bot Cici, a conversational agent with human-like features. This research method is a mixed method using a combination of quantitative analysis and qualitative focus group interviews and a pre-experimental post-test strategy, this study examined the experiences of 45 first-year college students in Indonesia. The results showed that students’ English communication skills improved significantly after the intervention. Post-intervention scores showed a marked improvement, proving that the intervention was successful in improving undergraduate students’ communication skills. Thematic analysis of the interviews supported these results by showing an increase in students’ engagement, emotional comfort, and autonomy during AI-assisted learning. Participants saw improvements in their vocabulary, fluency, and comprehension. They praised AI’s adaptive learning capabilities and individualized feedback for their achievements. The researchers concluded that anthropomorphic AI could revolutionize English as a Foreign Language (EFL) classes for non-native (L2) learners by creating more interactive, personalized, and emotionally engaging lessons. Ethical issues, such as data protection, and the potential integration of gamification and competitive features into AI technology should inform future studies. To close the gap between human and AI interaction in education, this novel approach lays the groundwork for efficient, inclusive, and dynamic language learning strategies.