Treffer: DESIGNING FOR ETHICAL MATHEMATICS CONSCIOUSNESS: A SYNTHESIS OF FINDINGS FROM A DESIGN BASED RESEARCH PROJECT EXPLORING HOW EDUCATORS MAY DESIGN FOR STUDENTS' ETHICAL REASONING IN DATA SCIENCE.

This article explores the importance of ethical reasoning and decision-making in data science education. It emphasizes the need to develop students' Ethical Mathematics Consciousness (EMC) to address the ethical dilemmas and implications of mathematical work in data science. The article discusses the consequences of Big Data in society, such as market effects and the discriminatory effects of data analysis. It argues for a sociopolitical perspective in data science education and proposes an ethical mathematics education that considers diverse perspectives and identities. The article also introduces frameworks and principles for ethical reasoning in data science and provides examples of their application. Additionally, the article discusses the importance of incorporating ethical considerations and diverse perspectives into data science education and proposes design elements for fostering equitable participation in data science courses. It provides a list of references and sources for further research on mathematics education, ethics, social justice, and the impact of technology on inequality. The article also discusses two ethical theories, the Ethics of Care and Agent-Based Theories, and their relevance to ethical decision-making. It clarifies that the text does not endorse gender stereotypes or prioritize traditionally feminine traits over masculine traits. [Extracted from the article]

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