能力图表:衡量人工智能素养能力的整体量表

IF 4 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Journal of Educational Computing Research Pub Date : 2024-07-18 DOI:10.1177/07356331241261206
Chien Wen (Tina) Yuan, Hsin-yi Sandy Tsai, Yu-Ting Chen
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引用次数: 0

摘要

人工智能技术的快速发展重塑了我们的日常生活。随着人工智能系统的日益普及,人工智能素养,即理解和使用这些技术的能力,在现代社会中变得至关重要。然而,现有的研究还没有为人工智能素养建立一个全面的框架。本研究旨在通过制定全面的人工智能素养量表来填补这一空白。研究考虑了三个层面:个人、互动和社会文化。量表包括认知、行为和规范能力。经过严格的信度和效度评估,最终的人工智能素养量表包括六个维度:人工智能特征、人工智能处理、算法影响、用户效能、道德考量和威胁评估。详细的量表开发、验证和特定维度项目都有详尽的说明。在当今多层面的人工智能环境中,这一全面的量表使个人具备了驾驭人工智能并批判性地参与其中所需的能力。
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Charting Competence: A Holistic Scale for Measuring Proficiency in Artificial Intelligence Literacy
The rapid evolution of AI technologies has reshaped our daily lives. As AI systems become increasingly prevalent, AI literacy, the ability to comprehend and engage with these technologies, becomes paramount in modern society. However, existing research has yet to establish a comprehensive framework for AI literacy. This study aims to fill this gap by developing a holistic AI literacy scale. Three levels of dimensions are considered: individual, interactive, and sociocultural. The scale includes cognitive, behavioral, and normative competencies. After rigorous reliability and validity assessments, the final AI literacy scale comprises six dimensions: AI features, AI processing, algorithm influences, user efficacy, ethical consideration, and threat appraisal. Detailed scale development, validation, and dimension-specific items are thoroughly explained. This comprehensive scale equips individuals with the competencies needed to navigate and critically engage with AI in today’s multifaceted AI landscape.
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来源期刊
Journal of Educational Computing Research
Journal of Educational Computing Research EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
11.90
自引率
6.20%
发文量
69
期刊介绍: The goal of this Journal is to provide an international scholarly publication forum for peer-reviewed interdisciplinary research into the applications, effects, and implications of computer-based education. The Journal features articles useful for practitioners and theorists alike. The terms "education" and "computing" are viewed broadly. “Education” refers to the use of computer-based technologies at all levels of the formal education system, business and industry, home-schooling, lifelong learning, and unintentional learning environments. “Computing” refers to all forms of computer applications and innovations - both hardware and software. For example, this could range from mobile and ubiquitous computing to immersive 3D simulations and games to computing-enhanced virtual learning environments.
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