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Updated: Jan 7, 2026

Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity
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基准测试ChatGPT生成的多选题与牙科教育中教师撰写的项目进行比较

Amber Kiyani1, Fariha Hanif2, Muhammad Muhammad2

  • 1Qatar University, Doha, Qatar. a.kiyani@qu.edu.qa.

Scientific reports
|December 29, 2025
PubMed
概括

这项研究比较了ChatGPT生成的多选择题 (MCQ) 与指导员为牙科学生撰写的多选择题. 导师项目表现更好,但人工智能生成的问题显示了教育评估的未来潜力.

关键词:
评估 评估 评估聊天GPT 聊天 在GPT 聊天牙科教育 牙科教育大型语言模型.学生 学生 学生 学生 学生大学 大学的大学.

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