Before students begin developing foundational algorithmic literacy, it is essential to explore their existing skills and competencies related to this field. Use the image below to help students self-assess their skills and competencies in each category. Ask students to evaluate each competency and skill from 1 to 10 and keep the results for their record. Ask students to reassess them after completing the lessons.

Algorithm Awareness

I am able to recognize algorithms in everyday contexts, such as social media feeds, online shopping, or recommendation systems, and an understanding of how they influence my digital experiences.

Algorithmic Bias

I am able to identify instances of algorithmic bias in real-world scenarios, such as biased search results, discriminatory recommendations, or unfair decision-making processes.

AI and Automation Impact

I understand the impact of AI and automation on society, the economy, and the job market, and am able to engage in discussions about the implications of these technologies.

Data Literacy

I am able to understand data, including data collection, processing, and analysis, and I have the ability to assess the role data plays in algorithmic and AI systems.

Algorithm Transparency

I am aware of the importance of seeking transparency in algorithmic processes to understand how algorithms make decisions and influence outcomes.

Ethical Considerations

I have an awareness of the ethical implications of algorithms and AI, including their potential for bias, discrimination, and privacy violations. I am able to critically evaluate the ethical dimensions of algorithmic decisions.

Critical Thinking

I am able to think critically and analytically about algorithmic and AI-related issues, including the capacity to question assumptions, evaluate evidence, and consider alternative perspectives.

Digital Privacy

I know about digital privacy best practices, including understanding how personal data is collected and used by algorithms and AI systems, and the ability to protect one’s digital privacy.