教育学生了解解读信息图表所依据的道德原则

IF 1.2 Q2 EDUCATION & EDUCATIONAL RESEARCH
Salma Banu Nazeer Khan, Ayse Aysin Bilgin, Deborah Richards, Paul Formosa
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引用次数: 0

摘要

信息图表是一种视觉叙事技术,用于传达复杂的信息。然而,如果制作不道德,信息图表可能会产生误导。大学在教授如何制作信息图表时,往往没有强调信息图表背后的道德问题。为了弥补这一不足,我们设计了一项研究,利用 Rest 模型的三个阶段:意识、定位和意图,对统计学和数据科学专业的学生进行有关信息图表伦理的教育。在让学生了解从人工智能为人民(AI4People's)框架中提炼出的适用于数据科学背景的五项伦理原则之前和之后,我们捕捉了学生对信息图表背后的伦理问题的认识。然后,学生们接触了一些存在伦理困境的场景。对他们在这些情景中对伦理原则的识别能力进行了测量。结果表明,学生们对解释信息图表所依据的伦理问题的认识有了明显提高,这表明对当前用户和未来设计师进行伦理培训是有益的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Educating students about the ethical principles underlying the interpretation of infographics
Infographics are visual storytelling techniques used to communicate complex information. However, infographics can be misleading if they are not created ethically. When universities teach how to create infographics, they often do so without emphasizing the ethical issues underlying infographics. To address this gap, we designed a study to educate statistics and data science students about the ethics of infographics by using Rest model's three stages: awareness, orientation, and intention. Students' awareness of the ethical issues underlying infographics was captured before and after sensitizing them to five ethical principles derived from the AI4People's framework applied to a data science context. The students were then exposed to scenarios with ethical dilemmas. Their identification of the ethical principles in these scenarios was measured. The results showed a significant increase in students' awareness of the ethical issues underpinning the interpretation of infographics, suggesting that ethical training of current users and future designers would be beneficial.
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来源期刊
Teaching Statistics
Teaching Statistics EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
2.10
自引率
25.00%
发文量
31
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