From Gretel to Strudelcity: Empowering Teachers Regarding Generative AI for Enhanced AI Literacy with CollectiveGPT

被引:0
作者
Bruenner, Benedikt [1 ]
Schoen, Sandra [1 ]
Ebner, Martin [2 ]
机构
[1] Graz Univ Technol, Inst Human Ctr Comp HCC, A-8010 Graz, Austria
[2] Graz Univ Technol, Educ Technol, A-8010 Graz, Austria
来源
EDUCATION SCIENCES | 2025年 / 15卷 / 02期
关键词
generative AI; AI literacy; teacher training; educational technology; design-based research; interactive workshops; AI in education; teacher empowerment;
D O I
10.3390/educsci15020206
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In the era of transformative technologies, generative artificial intelligence (genAI) offers profound opportunities and challenges for education. This study explores the development and execution of an interactive workshop designed to equip educators with foundational genAI literacy. Using a design-based research (DBR) framework, the workshop leverages interactivity and contextual relevance to introduce genAI concepts, prompting strategies and ethical considerations. Participants engaged in a scripted learning workshop design, comparing human and AI responses, exploring genAI's probabilistic foundations, context dependency, and vulnerability to manipulation. Conducted across 12 workshops with 191 participants in Austria, this study revealed significant improvements in self-perceived genAI understanding, with 70% of participants reporting better grades in post-assessment evaluations. Feedback emphasized the workshop's strengths in interactivity and relevance, alongside recommendations for deeper school-specific applications. Scalability analysis showed that workshop duration remained consistent regardless of group size, suggesting potential for broader implementation. The findings highlight the effectiveness of scripted learning workshop design in fostering critical AI literacy, preparing educators to critically evaluate and ethically integrate genAI into pedagogical practices. This adaptable model contributes to the discourse on professional development in AI-enhanced education.
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页数:35
相关论文
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