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作 者:王娟[1] WANG Juan(School of Literature and Communication,Chaohu University,Hefei,Anhui,230026)
机构地区:[1]巢湖学院文学与传媒学院,安徽合肥230026
出 处:《贵州师范学院学报》2025年第2期38-44,共7页Journal of Guizhou Education University
基 金:安徽省重点教研项目“基于灰色定权聚类法的教学评价指标体系构建研究”(2023jyxm1270);巢湖学院校级质量工程重点教学研究项目“习近平新闻思想指导下的新闻传播学人才培养路径研究”(ch22jxyj02);巢湖学院校级质量工程重点教学研究项目“多平台联动三阶梯赋能——新文科背景下应用型高校网络与新媒体专业人才培养研究”(x23jyxm06)。
摘 要:生成式AI技术在驱动传媒业新一轮变革的同时,亦引发了深度伪造、隐私侵犯等伦理问题。相关研究提出,应进行新媒介素养的养成与升级予以应对,但它们大多停留在自上而下的理论框架式分析与自下而上的具体教学实践探讨,前者在具体应用中缺乏灵活性,而后者缺乏通用性和系统性,二者未形成有效的对话与系统性整合。此外,作为新媒介素养基础支撑,即数据伦理素养,并未引起足够重视。针对这一现象,研究通过分析数据伦理教学的前沿实践,提出可采用社会技术教学法来有效加速生成式AI时代媒介素养的升级与迭代。Generative artificial intelligence technologies,while empowering the media industry with intelligent and automated advancements,it also raise ethical issues such as deepfake and privacy infringements.Relevant research suggests that developing and upgrading new media literacy can address these issues.However,most of these studies are confined to top-down theoretical framework analyses and bottom-up specific teaching practice explorations.The former lacks flexibility in contexts,while the latter lacks universality and systematicity,leading to an absence of effective dialogue and systematic integration between the two.Furthermore,data ethics literacy,which serves as a foundational support for new media literacy,has not received sufficient attention.To address this phenomenon,this study analyzes the cutting-edge practices of data ethics education and proposes a social-technical pedagogy centered on multimodal large language models.By combining top-down(macro ethics)and bottom-up(micro ethics)approaches,this innovative data ethics education aims to effectively accelerate the upgrading and iteration of media literacy in the era of generative artificial intelligence.
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