K-12人工智能教育中的文化能力与伦理洞察

I. T. Sanusi, S. Olaleye
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引用次数: 7

摘要

随着人工智能教育(AI)不断融入各国主流教育体系,必须强调文化能力和伦理考虑,以确保有效的人工智能学习。文献表明,在技术媒介中整合文化能力元素有助于学生理解课堂上学习的计算机科学概念中的难题。也有人认为,具有人工智能教育伦理取向的学生更有可能更多地了解人工智能的影响和含义。因此,本研究旨在了解学生的文化能力和道德是如何结合起来影响人工智能内容的。在一次实验教学之后,我们对尼日利亚的高中生进行了调查。共有596名学生为使用WarpLS软件完成的分析提供了有用的回答。我们使用结构方程模型来理解研究中使用的变量之间的关系。结果表明,文化能力和伦理道德显著影响人工智能内容。本研究结果进一步表明,人工智能伦理与人工智能内容之间的关联具有最高的预测价值,这强调了伦理在人工智能学习中的重要作用。本研究还对研究模型中的学校位置差异进行了测试,发现城市学生对人工智能内容所采用的变量的感知高于农村学生。总体而言,研究结果表明,利益相关者和教育工作者在设计人工智能内容和教学材料时应强调文化元素、人文思维以及伦理考虑。我们讨论了这些发现并提出了未来的发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Insight into Cultural Competence and Ethics in K-12 Artificial Intelligence Education
As artificial intelligence education (AI) continues to be integrated into the mainstream educational system across countries, cultural competence and ethical considerations should be emphasized to ensure effective AI learning. Literatures has established that integrating elements of cultural competence within technology mediums has helped students understand difficult topics from computer science concepts learned in class. It is also argued that student with an ethical orientation of AI education is more likely to learn more about impacts and implications of AI. Hence, this study was conducted to understand how students’ cultural competence, and ethics combine to influence AI content. We surveyed Nigerian high school students after an experimental teaching session. A total of 596 students provided useful responses for the analysis that was done using WarpLS software. We performed structural equation modelling to understand the relationship among the variables utilized in the study. The result shows that cultural competence and ethics significantly influence AI content. This study’s results further shows that the association between ethics of AI and AI content has the highest predictive value which emphases the vital role of ethics in AI learning. This study also tested school location differences in the research model and discovered that urban students’ perception is higher than their rural counterpart on the adopted variables in relation to AI content. Overall, the results suggest that stakeholders and educators should emphasize cultural elements and humanistic thinking as well as ethical considerations in the design of AI content and instructional materials. We discuss the findings and propose future directions.
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