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作 者:崔宇红[1] 曲文澜 王飒[2] 刘洋[3] CUI Yuhong;QU Wenlan;WANG Sa;LIU Yang
机构地区:[1]北京理工大学教育学院,北京100081 [2]北京理工大学图书馆,北京100081 [3]北京理工大学机械与车辆学院,北京100081
出 处:《大学图书馆学报》2025年第2期39-49,共11页Journal of Academic Libraries
基 金:教育部人文社会科学研究规划基金项目“开放科学场域中高校青年科研人员学术行为及治理机制研究”(编号:23YJAZH021);北京理工大学数智赋能课程改革专项课题“智能信息检索和知识创新”(编号:1540012212401)的研究结果之一。
摘 要:生成式AI时代,提示素养已成为新质教育发展的核心能力,这对于培养适应人机协同和人机共生需求的新质人才具有重要意义。在理论层面,构建提示素养的“知识理解—应用分析—价值创造”三层级递进的概念框架,阐释其生成、演化与核心内涵。面向提示素养应用实践,以“寻路”模型为指导,分析生成式AI学习环境下提示素养的形塑过程,以契合提示设计的动态适应性探索与批判性思维本质特征。“寻路”模型通过目标定位、路径决策、认知地图和反馈闭环四个关键步骤,探讨提示词设计策略,结合苏格拉底提问法及项目制学习等方法,探索提示素养培养的实现路径。展望未来,提示素养可能面临停滞、渐进、繁荣和挑战等多种情景,需协同技术进步、政策引导和社会环境,系统性推动提示素养的广泛应用与健康发展。In the era of generative AI,prompt literacy has emerged as a core competency in advancing new-quality education,playing a strategically vital role in cultivating new-quality talents adapted to the demands of human-machine collaboration and symbiosis.However,as an emerging concept,prompt literacy holds vast potential for exploration.Theoretically,how should its conceptual framework be clearly defined?In practice,how can effective prompts be designed to align with the critical thinking characteristics inherent in prompt literacy?Looking toward the future,how can prompt literacy education be advanced through synergistic interactions with technology,policy,and social environments?This study delves into the conceptual connotation,practical pathways,and future prospects of prompt literacy.At the theoretical level,the research constructs a pyramid-shaped framework of prompt literacy based on Jerome Bruner s taxonomy of educational objectives.It explains the progressive development of prompt literacy s evolution in three hierarchical levels:knowledge comprehension,application analysis,and value creation,providing a systematic theoretical basis for cultivating prompt literacy in higher education.At the practical level,the study uses the“Wayfinding”model to explain the practical pathways of prompt literacy.This model metaphorically represents the learners complex cognitive journey in navigating the fast-evolving landscape of generative AI in four critical stages:goal setting,path selection,cognitive mapping,and feedback loops,accomplishing dynamic comprehension and knowledge construction through the exploration,adjustment,and selection of prompts.Based on critical thinking practices embodied in the Socratic questioning method,the study further demonstrates the cost-effective and robust advantages of the“Wayfinding”model in enhancing prompt literacy particularly in scenarios such as academic writing.Finally,based on situational analysis,this paper predicts four possible trajectories for the future development of pro
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