基于生成式人工智能的师范生批判性数字素养测评OA
Assessment of Pre-service Teachers'Critical Digital Literacy Assessment Based on Generative Artificial Intelligence
批判性数字素养作为数字素养的重要组成部分,近年来备受关注.为了解生成式人工智能评价批判性数字素养的精准度和稳定性,文章依据批判性数字素养评价标准,采用生成式人工智能对 66 名师范生在文本、图片和视频三种模态下展现的批判性数字素养水平进行评价,并与数字素养专家的评价结果进行对比.结果显示,生成式人工智能在批判性数字素养评价中表现了精准度低、稳定性高的特征,但随着信息模态复杂程度的提高,其评价的精准度不断提高.这一结果表明,生成式人工智能评价批判性数字素养的能力有待提升,未来教师利用GenAI开展评价时要对评价结果谨慎对待.文章为生成式人工智能参与复杂模态素养评价的适用边界提供了实践参考.
As an important component of digital literacy,critical digital literacy has garnered significant attention in recent years.To examine the accuracy and reliability of generative artificial intelligence(GenAI)in assessing critical digital literacy,this study employs GenAI to evaluate the critical digital literacy demonstrated by 66 pre-service teachers across three information modalities:text,images,and videos,according to the critical digital literacy assessment standards,and compares the evaluation results with those by digital literacy experts.The results show that GenAI achieves low accuracy and high stability in critical digital literacy evaluation,but its assessment accuracy improves as the complexity of information modalities increases.This findings indicate that the capacity of GenAI to evaluate critical digital literacy needs further enhancement.Future teachers should interpret evaluation results cautiously when utilizing GenAI for evaluations.This paper provides practical references for defining the applicable boundaries of GenAI in literacy assessment involving complex multimodal information.
汪向征;张一航
安阳师范学院 文化传播学院,河南 安阳 455000华东师范大学 教育信息技术学系,上海 200062
社会科学
批判性数字素养生成式人工智能多模态信息师范生
critical digital literacygenerative artificial intelligencemultimodal informationnormal university student
《现代教育技术》 2026 (9)
56-65,10
本文受2023年度教育部人文社会科学研究一般项目"教育人工智能伦理风险感知的影响因素及其作用机制研究"(项目编号:23YJA880007)、2026年度河南省高等教育教学改革研究与实践项目"甲骨文赋能计算机专业AI特色课程群建设与实践"(项目编号:2026SJGLX150)的资助.
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