| 吴丹,刘静.人工智能时代的算法素养:内涵剖析与能力框架构建[J].中国图书馆学报,2022,48(6):43~56 |
| Algorithmic Literacy in the Era of Artificial Intelligence:Connotation Analysis and Competency Framework Construction |
| 人工智能时代的算法素养:内涵剖析与能力框架构建 |
| Received:November 28, 2021 Revised:March 29, 2022 |
| DOI： |
| Key words:Algorithmic literacy Artificial intelligence Information literacy Competency elements |
| 中文关键词: 算法素养 人工智能 信息素养 能力要素 |
| 基金项目: |
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| Abstract: |
Algorithmic literacy was proposed as an essential set of quality competencies in the era of artificial intelligence,reflecting the challenges to human information processing skills brought by the changing technical environment. The primary purpose of this paper is to explore two foundational questions of algorithmic literacy which is a developing concept. They are “why we need to study algorithmic literacy” and “what algorithmic literacy is”. The analysis of these fundamental issues of algorithmic literacy is conducive to constructing a systematic cognition of algorithmic literacy and provides a reference for subsequent research. It is also beneficial to raise the discussion of algorithmic literacy and promote the research process of algorithmic literacy in China.
To explore “why we need to study algorithmic literacy”,the paper analyzes the internal and external drivers of algorithmic literacy research and describes the need to study algorithmic literacy in the era of artificial intelligence. Algorithmic literary could strengthen people's perception of implicit algorithmic interactions,guiding them to use algorithmic products,understand algorithmic logic,and recognize its impact on shaping social culture and values,so that to avoid the potential risks of algorithmic technologies.
As for “what algorithmic literacy is”,the paper systematically and comprehensively dissects this question in terms of both connotation dissection and competency framework. Firstly,the paper traces the origin of algorithmic literacy from information literacy and other related concepts and analyzes its connotation and characteristics. Then,it further divides the algorithmic literacy competencies into skill,knowledge,thinking,motivation,and cognitive layers based on the competency quality model and clarifies the core competency elements of algorithmic literacy based on the SCONUL model. The final framework of algorithmic literacy competencies is constructed,which is built to achieve a systematic and fine grained elaboration of algorithmic literacy. In addition,after a thorough discussion of the foundational issues,the paper discusses future research based on the previous findings.
Future works of algorithmic literacy could shift from macro to micro and deeply explore the relationship among algorithmic literacy ability,users behavior,users attitudes,and other related elements so as to build an empirical research foundation for algorithmic literacy education. Besides,future research could also move from theory exploration to practice through the development of an algorithmic literacy competency scale,explore how the cultivation of algorithmic literacy bridges the algorithmic knowledge gaps caused by the widespread use of algorithms and the new social structures and rules shaped by algorithms. 4 figs. 2 tabs. 39 refs.
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| 中文摘要: |
人工智能时代的到来强化了技术环境对社会发展的影响,算法的广泛应用塑造着新的社会结构与规则,也对人们的信息处理能力提出了更高的要求。算法素养作为人工智能时代重要的素质能力集合被提出。作为一个新生的前沿概念,“为什么需要研究算法素养”以及“算法素养是什么”两个基础性问题亟需解决。本文首先分析算法素养研究的内部、外部驱动因素,阐述了人工智能时代研究算法素养的必要性,回答了“为什么需要研究算法素养”的问题。在此基础上,从信息素养等关联概念出发,对算法素养进行溯源,剖析其内涵特征,并进一步基于能力素质模型将算法素养能力划分为技能层、知识层、思维层、动机层和认知层,基于SCONUL模型厘清算法素养的核心能力要素,最终构建了算法素养能力框架,从内涵剖析与能力框架两个方面回答了“算法素养是什么”的问题。在对基础性问题进行充分讨论后,提出未来算法素养研究可从宏观走向微观,深度探索算法素养能力与用户行为态度等关联要素之间的关系,亦可从理论走向实践,在实现对算法素养能力科学测量的基础上开展算法素养培育。图4。表2。参考文献39。
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